Journal articles
Li W, SUN H, Tong M, Mustafee N, Koh SC (In Press). Customizing Customization in a 3d Printing-Enabled Hybrid Manufacturing Supply Chain.
Dohale V, Mustafee N, Nagarajan M (In Press). Orange Grower's Perception of Drought Impacts and Strategies for Mitigation and Adaptation: a Study of the Vidarbha Region in India.
Evans B, Khoury M, Vamvakeridou-Lyroudia L, Chen O, Mustafee N, Chen AS, Djordjevic S, Savic D (2023). A modelling testbed to demonstrate the circular economy of water. Journal of Cleaner Production, 405, 137018-137018.
Sikder SK, Nagarajan M, Mustafee N (2023). Augmenting EV charging infrastructure towards transformative sustainable cities: an equity-based approach. Technological Forecasting and Social Change, 196, 122829-122829.
Shoaib M, Mustafee N, Madan K, Ramamohan V (2023). Leveraging multi-tier healthcare facility network simulations for capacity planning in a pandemic. Socio-Economic Planning Sciences, 88, 101660-101660.
Khoury M, Evans B, Chen O, Chen AS, Vamvakeridou-Lyroudia L, Savic DA, Djordjevic S, Bouziotas D, Makropoulos C, Mustafee N, et al (2023). NEXTGEN: a serious game showcasing circular economy in the urban water cycle. Journal of Cleaner Production, 391, 136000-136000.
Harper A, Mustafee N (2023). Participatory design research for the development of real-time simulation models in healthcare. Health Systems, 1-12.
Harper A, Mustafee N, Viana J (2023). Real-time Simulation in Urgent and Emergency Care: a Transformative Shift towards Responsive Decision-making. SSRN Electronic Journal
Harper A, Mustafee N (2023). Strategic resource planning of endoscopy services using hybrid modelling for future demographic and policy change. J. Oper. Res. Soc., 74, 1286-1299.
Mohd S, Mustafee N, Madan K, Ramamohan V (2022). An Empirical Evaluation of a Two-stage Healthcare Facility Location Approach using Simulation Optimization and Mathematical Optimization.
Falcone A, Garro A, Mustafee N, Niazi MA, Wainer G (2022). Editorial: Special issue on modelling and simulation in the cloud computing era. Journal of Simulation, 16(6), 547-549.
Howard M, Yan X, Mustafee N, Charnley F, Böhm S, Pascucci S (2022). Going beyond waste reduction: Exploring tools and methods for circular economy adoption in small-medium enterprises. Resources, Conservation and Recycling, 182, 106345-106345.
Bae K-H, Mustafee N, Lazarova-Molnar S, Zheng L (2022). Hybrid modeling of collaborative freight transportation planning using agent-based simulation, auction-based mechanisms, and optimization.
SIMULATION: Transactions of the Society for Modeling and Simulation InternationalAbstract:
Hybrid modeling of collaborative freight transportation planning using agent-based simulation, auction-based mechanisms, and optimization
the sharing economy is a peer-to-peer economic model characterized by people and organizations sharing resources. With the emergence of such economies, an increasing number of logistics providers seek to collaborate and derive benefit from the resultant economic efficiencies, sustainable operations, and network resilience. This study investigates the potential for collaborative planning enabled through a Physical Internet-enabled logistics system in an urban area that acts as a freight transport hub with several e-commerce warehouses. Our collaborative freight transportation planning approach is realized through a three-layer structured hybrid model that includes agent-based simulation, auction mechanism, and optimization. A multi-agent model simulates a complex transportation network, an auction mechanism facilitates allocating transport services to freight requests, and a simulation–optimization technique is used to analyze strategic transportation planning under different objectives. Furthermore, sensitivity analyses and Pareto efficiency experiments are conducted to draw insights regarding the effect of parameter settings and multi-objectives. The computational results demonstrate the efficacy of our developed model and solution approach, tested on a real urban freight transportation network in a major US city.
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Bae K-H, Mustafee N, Lazarova-Molnar S, Zheng L (2022). Hybrid modeling of collaborative freight transportation planning using agent-based simulation, auction-based mechanisms, and optimization. Simul., 98, 753-771.
Harper A, Mustafee N, Pitt M (2022). Increasing situation awareness in healthcare through real-time simulation. Journal of the Operational Research Society, 74(11), 2339-2349.
Sorri K, Mustafee N, Seppänen M (2022). Revisiting IoT definitions: a framework towards comprehensive use. Technological Forecasting and Social Change, 179, 121623-121623.
Philip AM, Prasannavenkatesan S, Mustafee N (2022). Simulation modelling of hospital outpatient department: a review of the literature and bibliometric analysis.
SIMULATION,
99(6), 573-597.
Abstract:
Simulation modelling of hospital outpatient department: a review of the literature and bibliometric analysis
the increase in demand for outpatient departments (OPDs) has contributed to overcrowded clinics and patient dissatisfaction. Computer simulation can help decision-makers meet the operational challenge of balancing the demand for outpatient services with considerations of available capacity. The paper presents a synthesis of the literature on simulation modeling in OPD using two approaches: a bibliometric analysis (employing keyword co-occurrence network) and a literature classification focusing on OPD strategy, OPD performance measures, and simulation techniques. Our review is based on 161 papers, published between 2006 and 2020, identified through a methodological search of the literature. The objective of the review is threefold: (1) to identify the major and emerging research issues in general and specialized OPD, (2) to find the commonly used performance measures in OPD and how it is associated with the strategies used to improve the performance, and (3) to identify the commonly used simulation methods for OPD modeling. A key finding from the bibliometric analysis is that most OPD research can be classified under one of the four clusters—“organization and management,”“patient satisfaction,”“overbooking,” and “performance.” We also find that patient waiting time has received much attention among the performance measures reported in the literature, followed by server idle time/overtime (server here is the OPD consultant or other healthcare resource). Our review serves as a key reference point for scholars, practitioners, students, and healthcare stakeholders, and those who use quantitative tools to aid operational decision-making.
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Harper A, Mustafee N (2022). Strategic resource planning of endoscopy services using hybrid modelling for future demographic and policy change. Journal of the Operational Research Society, 74(5), 1286-1299.
Mustafee N, Katsaliaki K, Taylor SJE (2021). Distributed Approaches to Supply Chain Simulation: a Review. ACM Transactions on Modeling and Computer Simulation
Mustafee N, Katsaliaki K, Taylor SJE (2021). Distributed Approaches to Supply Chain Simulation: a Review. ACM Trans. Model. Comput. Simul., 31, 25:1-25:1.
Harper A, Mustafee N, Yearworth M (2021). Facets of trust in simulation studies. European Journal of Operational Research, 289(1), 197-213.
Tolk A, Harper A, Mustafee N (2021). Hybrid models as transdisciplinary research enablers.
Eur J Oper Res,
291(3), 1075-1090.
Abstract:
Hybrid models as transdisciplinary research enablers.
Modelling and simulation (M&S) techniques are frequently used in Operations Research (OR) to aid decision-making. With growing complexity of systems to be modelled, an increasing number of studies now apply multiple M&S techniques or hybrid simulation (HS) to represent the underlying system of interest. A parallel but related theme of research is extending the HS approach to include the development of hybrid models (HM). HM extends the M&S discipline by combining theories, methods and tools from across disciplines and applying multidisciplinary, interdisciplinary and transdisciplinary solutions to practice. In the broader OR literature, there are numerous examples of cross-disciplinary approaches in model development. However, within M&S, there is limited evidence of the application of conjoined methods for building HM. Where a stream of such research does exist, the integration of approaches is mostly at a technical level. In this paper, we argue that HM requires cross-disciplinary research engagement and a conceptual framework. The framework will enable the synthesis of discipline-specific methods and techniques, further cross-disciplinary research within the M&S community, and will serve as a transcending framework for the transdisciplinary alignment of M&S research with domain knowledge, hypotheses and theories from diverse disciplines. The framework will support the development of new composable HM methods, tools and applications. Although our framework is built around M&S literature, it is generally applicable to other disciplines, especially those with a computational element. The objective is to motivate a transdisciplinarity-enabling framework that supports the collaboration of research efforts from multiple disciplines, allowing them to grow into transdisciplinary research.
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Author URL.
Mustafee N, Powell J (2021). Providing Real-Time Information for Urgent Care. Impact, 2021(1), 25-29.
Aramo-Immonen H, Carlborg P, Hasche N, Jussila J, Kask J, Linton G, Mustafee N, Öberg C (2020). Charting the reach and contribution of IMP literature in other disciplines: a bibliometric analysis. Industrial Marketing Management, 87, 47-62.
Mustafee N, Katsaliaki K (2020). Classification of the existing knowledge base of OR/MS research and practice (1990–2019) using a proposed classification scheme. Computers & Operations Research, 118, 104920-104920.
Abel GA, Gomez-Cano M, Mustafee N, Smart A, Fletcher E, Salisbury C, Chilvers R, Dean SG, Richards SH, Warren F, et al (2020). Workforce predictive risk modelling: development of a model to identify general practices at risk of a supply−demand imbalance.
BMJ Open,
10(1), e027934-e027934.
Abstract:
Workforce predictive risk modelling: development of a model to identify general practices at risk of a supply−demand imbalance
ObjectiveThis study aimed to develop a risk prediction model identifying general practices at risk of workforce supply–demand imbalance.DesignThis is a secondary analysis of routine data on general practice workforce, patient experience and registered populations (2012 to 2016), combined with a census of general practitioners’ (GPs’) career intentions (2016).Setting/ParticipantsA hybrid approach was used to develop a model to predict workforce supply–demand imbalance based on practice factors using historical data (2012–2016) on all general practices in England (with over 1000 registered patients n=6398). The model was applied to current data (2016) to explore future risk for practices in South West England (n=368).Primary outcome measureThe primary outcome was a practice being in a state of workforce supply–demand imbalance operationally defined as being in the lowest third nationally of access scores according to the General Practice Patient Survey and the highest third nationally according to list size per full-time equivalent GP (weighted to the demographic distribution of registered patients and adjusted for deprivation).ResultsBased on historical data, the predictive model had fair to good discriminatory ability to predict which practices faced supply–demand imbalance (area under receiver operating characteristic curve=0.755). Predictions using current data suggested that, on average, practices at highest risk of future supply–demand imbalance are currently characterised by having larger patient lists, employing more nurses, serving more deprived and younger populations, and having considerably worse patient experience ratings when compared with other practices. Incorporating findings from a survey of GP’s career intentions made little difference to predictions of future supply–demand risk status when compared with expected future workforce projections based only on routinely available data on GPs’ gender and age.ConclusionsIt is possible to make reasonable predictions of an individual general practice’s future risk of undersupply of GP workforce with respect to its patient population. However, the predictions are inherently limited by the data available.
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Alizadeh M, Mehdi A-A, Mustafee N, Matilal S (2019). A Robust Stochastic Casualty Collection Points Location Problem. European Journal of Operational Research
Mustafee N, Bessis N, Taylor SJE, Hou J, Matthew P (2019). Co‐citation analysis of literature in e‐science and e‐infrastructures.
Concurrency and Computation: Practice and Experience,
32(9).
Abstract:
Co‐citation analysis of literature in e‐science and e‐infrastructures
SummaryAdvances in computer networking, storage technologies, and high‐performance computing are helping global communities of researchers to address increasingly ambitious problems in Science collaboratively. E‐Science is the “science of this age”; it is realized through collaborative scientific enquiry which requires the utilization of non‐trivial amounts of computing resources and massive data sets. Core to this is the integrated set of technologies collectively known as e‐Infrastructures. In this paper, we explore the e‐Science and the e‐Infrastructure knowledge base through co‐citation analysis of existing literature. The dataset for this analysis is downloaded from the ISI Web of Science and includes over 12,000 articles. We identify prominent articles, authors, and articles with citation bursts. The detection of research clusters and the underlying seminal papers provide further insights. Our analysis is an important source of reference for academics, researchers, and students starting research in this field.
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Brailsford SC, Eldabi T, Kunc M, Mustafee N, Osorio AF (2019). Hybrid simulation modelling in operational research: a state-of-the-art review.
European Journal of Operational Research,
278(3), 721-737.
Abstract:
Hybrid simulation modelling in operational research: a state-of-the-art review
Hybrid simulation (defined as a modelling approach that combines two or more of the following methods: discrete-event simulation, system dynamics, and agent-based simulation)has experienced near-exponential growth in popularity in the past two decades. However, a large proportion of the academic literature on hybrid simulation is found in computer science and engineering journals. Given the importance of this emerging area and its relevance to operational research, this paper provides a review of the topic from an OR perspective. The results of a review of the hybrid simulation literature are presented, using a novel framework based on the simulation lifecycle that will be useful for future modellers and authors alike. Promising areas for future research are identified: these include the development of new methods for conceptual modelling and for model validation. Currently the main application areas are healthcare, supply chain management and manufacturing, and the majority of published models combine discrete-event simulation and system dynamics.
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Tanwar T, Kumar UD, Mustafee N (2019). Optimal package pricing in healthcare services. Journal of the Operational Research Society, 71(11), 1860-1872.
Campbell JL, Fletcher E, Abel G, Anderson R, Chilvers R, Dean SG, Richards SH, Sansom A, Terry R, Aylward A, et al (2019). Policies and strategies to retain and support the return of experienced GPs in direct patient care: the ReGROUP mixed-methods study.
Health Services and Delivery Research,
7(14), 1-288.
Abstract:
Policies and strategies to retain and support the return of experienced GPs in direct patient care: the ReGROUP mixed-methods study
BackgroundUK general practice faces a workforce crisis, with general practitioner (GP) shortages, organisational change, substantial pressures across the whole health-care system and an ageing population with increasingly complex health needs. GPs require lengthy training, so retaining the existing workforce is urgent and important.Objectives(1) to identify the key policies and strategies that might (i) facilitate the retention of experienced GPs in direct patient care or (ii) support the return of GPs following a career break. (2) to consider the feasibility of potentially implementing those policies and strategies.DesignThis was a comprehensive, mixed-methods study.SettingThis study took place in primary care in England.ParticipantsGeneral practitioners registered in south-west England were surveyed. Interviews were with purposively selected GPs and primary care stakeholders. A RAND/UCLA Appropriateness Method (RAM) panel comprised GP partners and GPs working in national stakeholder organisations. Stakeholder consultations included representatives from regional and national groups.Main outcome measuresSystematic review – factors affecting GPs’ decisions to quit and to take career breaks. Survey – proportion of GPs likely to quit, to take career breaks or to reduce hours spent in patient care within 5 years of being surveyed. Interviews – themes relating to GPs’ decision-making. RAM – a set of policies and strategies to support retention, assessed as ‘appropriate’ and ‘feasible’. Predictive risk modelling – predictive model to identify practices in south-west England at risk of workforce undersupply within 5 years. Stakeholder consultation – comments and key actions regarding implementing emergent policies and strategies from the research.ResultsPast research identified four job-related ‘push’ factors associated with leaving general practice: (1) workload, (2) job dissatisfaction, (3) work-related stress and (4) work–life balance. The survey, returned by 2248 out of 3370 GPs (67%) in the south-west of England, identified a high likelihood of quitting (37%), taking a career break (36%) or reducing hours (57%) within 5 years. Interviews highlighted three drivers of leaving general practice: (1) professional identity and value of the GP role, (2) fear and risk associated with service delivery and (3) career choices. The RAM panel deemed 24 out of 54 retention policies and strategies to be ‘appropriate’, with most also considered ‘feasible’, including identification of and targeted support for practices ‘at risk’ of workforce undersupply and the provision of formal career options for GPs wishing to undertake portfolio roles. Practices at highest risk of workforce undersupply within 5 years are those that have larger patient list sizes, employ more nurses, serve more deprived and younger populations, or have poor patient experience ratings. Actions for national organisations with an interest in workforce planning were identified. These included collection of data on the current scope of GPs’ portfolio roles, and the need for formal career pathways for key primary care professionals, such as practice managers.LimitationsThe survey, qualitative research and modelling were conducted in one UK region. The research took place within a rapidly changing policy environment, providing a challenge in informing emergent policy and practice.ConclusionsThis research identifies the basis for current concerns regarding UK GP workforce capacity, drawing on experiences in south-west England. Policies and strategies identified by expert stakeholders after considering these findings are likely to be of relevance in addressing GP retention in the UK. Collaborative, multidisciplinary research partnerships should investigate the effects of rolling out some of the policies and strategies described in this report.Study registrationThis study is registered as PROSPERO CRD42016033876 and UKCRN ID number 20700.FundingThe National Institute for Health Research Health Services and Delivery Research programme.
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Powell JH, Hammond MJ, Chen AS, Mustafee N (2018). Human agency in disaster planning: a systems approach. Risk Analysis: an international journal
Mustafee N, Mittal S, Diallo S, Zacharewicz G (2018). Hybrid systems modeling. Simulation, 94(3), 177-178.
Mustafee N, Mittal S, Diallo S, Zacharewicz G (2018). The advances in the state of the art of modeling and simulation: Discrete event system specification (DEVS). Simulation, 94(4), 279-280.
Rusoja E, Haynie D, Sievers J, Mustafee N, Nelson F, Reynolds M, Sarriot E, Swanson RC, Williams B (2018). Thinking about complexity in health: a systematic review of the key systems thinking and complexity ideas in health.
J Eval Clin Pract,
24(3), 600-606.
Abstract:
Thinking about complexity in health: a systematic review of the key systems thinking and complexity ideas in health.
RATIONALE, AIMS, AND OBJECTIVES: As the Sustainable Development Goals are rolled out worldwide, development leaders will be looking to the experiences of the past to improve implementation in the future. Systems thinking and complexity science (ST/CS) propose that health and the health system are composed of dynamic actors constantly evolving in response to each other and their context. While offering practical guidance for steering the next development agenda, there is no consensus as to how these important ideas are discussed in relation to health. This systematic review sought to identify and describe some of the key terms, concepts, and methods in recent ST/CS literature. METHOD: Using the search terms "systems thinkin. AND health OR complexity theor. AND health OR complex adaptive system. AND health," we identified 516 relevant full texts out of 3982 titles across the search period (2002-2015). RESULTS: the peak number of articles were published in 2014 (83) with journals specifically focused on medicine/healthcare (265) and particularly the Journal of Evaluation in Clinical Practice (37) representing the largest number by volume. Dynamic/dynamical systems (n = 332), emergence (n = 294), complex adaptive system(s) (n = 270), and interdependent/interconnected (n = 263) were the most common terms with systems dynamic modelling (58) and agent-based modelling (43) as the most common methods. CONCLUSIONS: the review offered several important conclusions. First, while there was no core ST/CS "canon," certain terms appeared frequently across the reviewed texts. Second, even as these ideas are gaining traction in academic and practitioner communities, most are concentrated in a few journals. Finally, articles on ST/CS remain largely theoretical illustrating the need for further study and practical application. Given the challenge posed by the next phase of development, gaining a better understanding of ST/CS ideas and their use may lead to improvements in the implementation and practice of the Sustainable Development Goals.
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Mustafee N, Son YJ, Taylor SJE (2017). Guest editorial for the TOMACS special issue on the Principles of Advanced Discrete Simulation (PADS). ACM Transactions on Modeling and Computer Simulation, 27(2).
Mustafee N, Katsaliaki K, Le Forsonney T, Diallio S (2017). Profile of modeling and simulation research published in the Journal of Defense Modeling and Simulation. The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology
Diallo S, Durak U, Mustafee N, Mittal S (2017). Special issue on modeling and simulation in the era of big data and cloud computing: theory, framework and tools. SIMULATION, 93(4), 271-272.
Powell JH, Mustafee N, Brown CS (2017). The rôle of knowledge in system risk identification and assessment: the 2014 Ebola outbreak. Journal of the Operational Research Society, 69(8), 1286-1308.
Powell JH, Mustafee N (2017). Widening requirements capture with soft methods: an investigation of hybrid M&S studies in health care.
Journal of the Operational Research Society,
68(10), 1211-1222.
Abstract:
Widening requirements capture with soft methods: an investigation of hybrid M&S studies in health care
A simulation study consists of several stages: problem formulation, model implementation, verification and validation, experimentation and output data analysis. The application of multiple techniques in the model implementation stage is referred to as hybrid simulation, which we distinguish in this paper from a hybrid M&S study, the latter referring to studies that apply methods and techniques from disciplines like Operations Research (OR), Systems Engineering and Computer Science to one or more stages of a simulation study. Our paper focuses on the contribution of soft OR methods in the problem formulation stage of a simulation study (and by extension a hybrid M&S study). Soft Systems Methodology (SSM) has, arguably, been the most widely used qualitative approach for eliciting system requirements. In this paper, we present Qualitative System Dynamics (QSD), a soft systems method, as having potential use in the problem formulation stage of a healthcare M&S study. The contribution of this paper is thus twofold: (1) a review of the literature in SSM for healthcare operations management and (2) an examination of QSD as an additional soft OR method, complementing (rather than supplanting) existing approaches, which can further aid the understanding of the system in the problem formulation/conceptual modelling stage of a hybrid M&S study.
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Powell JH, Mustafee N, Chen A, Hammond M (2016). A System-focused risk identification and assessment for disaster preparedness: Dynamic threat analysis. European Journal of Operational Research, 254(2), 550-550.
Fakhimi M, Mustafee N, Stergioulas LK (2016). An investigation into modeling and simulation approaches for sustainable operations management.
Simulation,
92(10), 907-919.
Abstract:
An investigation into modeling and simulation approaches for sustainable operations management
Modeling and simulation (M&S) studies have been widely used in industry to gain insights into existing or proposed systems of interest. The majority of these studies focus on productivity-related measures to evaluate systems' performance. This paradigm, however, needs to be shifted to cope with the advent of sustainability, as it is increasingly becoming an important issue in the managerial and the organizational agendas. The application of M&S to evaluate the often-competing metrics associated with sustainable operations management (SOM) is likely to be a challenge. The aim of this review is to investigate the underlying characteristics of SOM that lend towards modeling of production and service systems, and further to present an informed discussion on the suitability of specific modeling techniques in meeting the competing metrics for SOM. The triple bottom line, which is a widely used concept in sustainability and includes environmental, social, and economic aspects, is used as a benchmark for assessing this. Findings from our research suggest that a hybrid (combined) M&S approach could be an appropriate method for SOM analysis; however, it has its challenges.
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Jia F, Wang X, Mustafee N, Hao L (2016). Investigating the feasibility of supply chain-centric business models in 3D chocolate printing: a simulation study.
Technological Forecasting and Social Change,
102, 202-213.
Abstract:
Investigating the feasibility of supply chain-centric business models in 3D chocolate printing: a simulation study
3D chocolate printing provides the technology for manufacturing chocolates layer-by-layer, thus offering customers enhanced product value and personalized consumption experience. As business models in the chocolate industry are closely associated with the profitability of the supply chain constituents, it seems appropriate to investigate the financial viability of these supply-chain centric business models prior to their introduction in the real world. In this paper we present two business models pertaining to the supply chain for 3D printed chocolates; we evaluate the financial viability of these innovative models through the use of computer modelling and simulation. The study is based on the commercialization efforts of a UK based 3D chocolate printing technology provider (Choc Edge). The results of the study indicate that 1) the retailer dominant supply chain model is a potentially disruptive business model innovations that are enabled by the 3D food printing technology, and as such, may pose a challenge to traditional high end chocolate products; 2) the manufacturer dominant model helps manufacturers gain more profits while retailer profits tend to be stagnant.
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Katsaliaki K, Mustafee N (2015). Edutainment for Sustainable Development: a survey of games in the field. Simulation and Gaming: an international journal of theory, design and research
Sahnoun M, Baudry D, Mustafee N, Louis A, Smart PA, Godsiff P, Mazari B (2015). Modelling and simulation of operation and maintenance strategy for offshore wind farms based on multi-agent system. Journal of Intelligent Manufacturing, 30(8), 2981-2997.
Mustafee N, Katsaliaki K (2015). Simulation for Sustainable Healthcare (special issue guest editorial).
Journal of Simulation,
9(2), 83-85.
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Simulation for Sustainable Healthcare (special issue guest editorial)
This is the editorial for my special issue
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Mustafee N, Bessis N (2015). The Internet-of-Things: Shaping the new Internet Space (special issue guest editorial).
Concurrency and Computation: Practice and Experience,
27(8), 1815-1818.
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The Internet-of-Things: Shaping the new Internet Space (special issue guest editorial)
Note this is the editorial for my special issue
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Katsaliaki K, Mustafee N, Kumar S (2014). A game-based approach towards facilitating decision making for perishable products: an example of blood supply chain.
Expert Systems with Applications,
41(9), 4043-4059.
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A game-based approach towards facilitating decision making for perishable products: an example of blood supply chain
Supply chains for perishable items consist of products with a fixed shelf life and limited production/collection; managing them requires competent decision-making. With the objective of placing the learners in the position of decision-makers, we propose the Blood Supply Chain Game which simulates the supply chain of blood units from donors to patients based on a real case study modeling the UK blood supply chain. The Excel-based game is an abstraction of the technical complex simulation model providing a more appropriate learning environment. This paper presents the game's background, its mathematical formulations, example teaching scenarios and the learners' evaluation. The game aims to translate qualitative aspects of a sensitive supply chain into quantitative economic consequences by presenting a process analysis and suggesting solutions for the patient's benefit in a cost effective manner, trying to synchronize blood demand and supply and maximize the value of the whole supply chain. This innovative approach will be instructive for students and healthcare service professionals. © 2014 Elsevier Ltd. All rights reserved.
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Mustafee N, Katsaliaki K, Fishwick P (2014). Exploring the modelling and simulation knowledge base through journal co-citation analysis.
Scientometrics,
98(3), 2145-2159.
Abstract:
Exploring the modelling and simulation knowledge base through journal co-citation analysis
Co-citation analysis is a form of content analysis that can be applied in the context of scholarly publications with the purpose of identifying prominent articles, authors and journals being referenced to by the citing authors. It identifies co-cited references that occur in the reference list of two or more citing articles, with the resultant co-citation network providing insights into the constituents of a knowledge domain (e.g. significant authors and papers). The contribution of the paper is twofold; (a) the demonstration of the added value of using co-citation analysis, and for this purpose the underlying dataset that is chosen is the peer-reviewed publication of the Society for Modeling and Simulation International (SCS)-SIMULATION; (b) the year 2012 being the 60th anniversary of the SCS, the authors hope that this paper will lead to further acknowledgement and appreciation of the Society in charting the growth of Modeling and Simulation (M&S) as a discipline. © 2013 Akadémiai Kiadó, Budapest, Hungary.
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Mustafee N, Bischoff EE (2013). Analysing trade-offs in container loading: Combining load plan construction heuristics with agent-based simulation.
International Transactions in Operational Research,
20(4), 471-491.
Abstract:
Analysing trade-offs in container loading: Combining load plan construction heuristics with agent-based simulation
In this paper we describe two operations research techniques, cutting and packing optimisation (CPO) and simulation, and present a multi-methodology approach for analysing the trade-offs between loading efficiency and various important practical considerations in relation to the cargo, such as its stability, fragility or possible cross-contamination between different types of items over time. The feasibility of this approach is demonstrated by considering a situation where the items to be loaded have differing degrees of perishability and where badly deteriorated items can affect those in their immediate vicinity (e.g. through the spread of mould). Our approach uses the output of the CPO algorithms to create agents that simulate the spread of mould through proximity-based interactions between the agents. The results show the trade-offs involved in container utilisation and the propagation of mould, without evidence of any correlation between them. The contribution of this research is the methodology and the feasibility study. © 2013 International Federation of Operational Research Societies.
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Mustafee N, Taylor SJE (2013). Application and support for high-performance simulation. Simulation, 89(10), 1151-1153.
Mustafee N, Taylor SJE (2013). High-performance simulation and simulation methodologies. Simulation, 89(11), 1291-1292.
Mustafee N, Katsaliaki K, Bischoff EE, Williams MD (2013). Proximity-Based Modelling of Cross-Contamination through Agent-Based Simulation: a Feasibility Study.
Health Systems,
2(1), 61-71.
Author URL.
Katsaliaki K, Mustafee N (2013). Serious Games for Sustainable Development. Journal of Management Education, 37(6), 889-894.
Liu X, Taylor SJE, Mustafee N, Wang J, Gao Q, Gilbert D (2013). Speeding up systems biology simulations of biochemical pathways using condor.
Concurrency and Computation: Practice and Experience,
26(17), 2727-2742.
Abstract:
Speeding up systems biology simulations of biochemical pathways using condor
SUMMARYSystems biology is a scientific field that uses computational modelling to study biological and biochemical systems. The simulation and analysis of models of these systems typically explore behaviour over a wide range of parameter values; as such, they are usually characterised by the need for nontrivial amounts of computing power. Grid computing provides access to such computational resources. In previous research, we created the grid‐enabled biochemical networks simulation environment to attempt to speed up system biology simulations over a grid (the UK National Grid Service and ScotGrid). Following on from this work, we have created the simulation modelling of the epidermal growth factor receptor microtubule‐associated protein kinase pathway utility, a standalone simulation tool dedicated to the modelling and analysis of the epidermal growth factor receptor microtubule‐associated protein kinase pathway. This builds on experiences from biochemical networks simulation environment by decoupling the simulation modelling elements from the Grid middleware. This new utility enables us to interface with different grid technologies. This paper therefore describes the new SIMAP utility and an empirical investigation of its performance when deployed over a desktop grid based on the high throughput computing middleware Condor. We present our results based on a case study with a model of the mammalian ErbB signalling pathway, a pathway strongly linked to cancer. Copyright © 2013 John Wiley & Sons, Ltd.
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Taylor SJE, Turner SJ, Straßburger S, Mustafee N (2012). Bridging the gap: a standards-based approach to OR/MS distributed simulation. ACM Trans. Model. Comput. Simul., 22, 18:1-18:1.
Mustafee N, Taylor S, Katsaliaki K, Dwivedi Y, Williams M (2012). Motivations and barriers in using distributed supply chain simulation.
International Transactions in Operational Research,
19(5), 733-751.
Abstract:
Motivations and barriers in using distributed supply chain simulation
Discrete event simulation (DES) is a technique that is used by analysts to take informed decisions regarding an existing or proposed system of interest. DES models typically represent the processes associated with various business units. However, in the case of supply chains more than one business unit may need to be modelled as different organisations may be responsible for various supply chain operations such as manufacturing, transport and logistics, distribution, warehouse operations, etc. Organisations can be protective about their internal processes and can have concerns regarding data/information security and privacy. Thus it could be argued that creating a single DES supply chain model representing the various inter-organisational processes is usually not an option since this will run counter to organisational privacy. Further, issues such as data transfer, model composability and execution speed may also make a single model approach problematic. A potential solution could be to create several distinct and well-defined DES models, each modelling the processes associated with one specific supply chain business unit, linked together over the internet. We refer to this possible distributed approach as Distributed Supply Chain Simulation (DSCS). Although this approach holds great promise, there are technical barriers in using DSCS. The paper discusses the benefits and barriers of a distributed approach and then, using a healthcare DSCS, the technological feasibility is demonstrated. In conclusion, the paper argues that adopting a standardised approach to DSCS will remove a major barrier to its use. © 2011 International Federation of Operational Research Societies.
Abstract.
Swanson RC, Cattaneo A, Bradley E, Chunharas S, Atun R, Abbas KM, Katsaliaki K, Mustafee N, Mason Meier B, Best A, et al (2012). Rethinking health systems strengthening: key systems thinking tools and strategies for transformational change.
Health Policy Plan,
27 Suppl 4(Suppl 4), iv54-iv61.
Abstract:
Rethinking health systems strengthening: key systems thinking tools and strategies for transformational change.
While reaching consensus on future plans to address current global health challenges is far from easy, there is broad agreement that reductionist approaches that suggest a limited set of targeted interventions to improve health around the world are inadequate. We argue that a comprehensive systems perspective should guide health practice, education, research and policy. We propose key 'systems thinking' tools and strategies that have the potential for transformational change in health systems. Three overarching themes span these tools and strategies: collaboration across disciplines, sectors and organizations; ongoing, iterative learning; and transformational leadership. The proposed tools and strategies in this paper can be applied, in varying degrees, to every organization within health systems, from families and communities to national ministries of health. While our categorization is necessarily incomplete, this initial effort will provide a valuable contribution to the health systems strengthening debate, as the need for a more systemic, rigorous perspective in health has never been greater.
Abstract.
Author URL.
Mustafee N, Williams MD, Katsaliaki K, Fishwick P (2012). SCS: 60 years and counting! a time to reflect on the Society’s scholarly contribution to M&S from the turn of the millennium.
SIMULATION,
88(9), 1047-1071.
Abstract:
SCS: 60 years and counting! a time to reflect on the Society’s scholarly contribution to M&S from the turn of the millennium
The Society for Modeling and Simulation International (SCS) is celebrating its 60th anniversary this year. Since its inception, the Society has widely disseminated the advancements in the field of modeling and simulation (M&S) through its peer-reviewed journals. In this paper we profile research that has been published in the journal SIMULATION: Transactions of the Society for Modeling and Simulation International from the turn of the millennium to 2010; the objective is to acknowledge the contribution of the authors and their seminal research papers, their respective universities/departments and the geographical diversity of the authors’ affiliations. Yet another objective is to contribute towards the understanding of the overall evolution of the discipline of M&S; this is achieved through the classification of M&S techniques and its frequency of use, analysis of the sectors that have seen the predomination application of M&S and the context of its application. It is expected that this paper will lead to further appreciation of the contribution of the Society in influencing the growth of M&S as a discipline and, indeed, in steering its future direction. © 2012, the Society for Modeling and Simulation International. All rights reserved.
Abstract.
Bell D, De Cesare S, Lycett M, Taylor SJE, Mustafee N (2012). Service-oriented simulation using web ontology.
International Journal of Simulation and Process Modelling,
7(3), 217-227.
Abstract:
Service-oriented simulation using web ontology
Commercial-off-the-Shelf (COTS) Simulation Packages (CSPs) have proved popular in a wider industrial setting. Reuse of Simulation Component (SC) models by collaborating organisations or divisions is restricted, however, by the same semantic issues that restrict the inter-organisation use of other software services. Semantic models, in the form of ontology, utilised by a web-service-based discovery and deployment architecture provide one approach to support simulation model reuse. Semantic interoperation is achieved using domain-grounded SC ontology to identify reusable components and subsequently loaded into a CSP, and locally or remotely executed. The work is based on a health service simulation that addresses the transportation of blood. The ontology-engineering framework and discovery architecture provide a novel approach to inter-organisation simulation, uncovering domain semantics and providing a less intrusive mechanism for component reuse. The resulting web of component models and simulation execution environments present a nascent approach to simulation grids. Copyright © 2012 Inderscience Enterprises Ltd.
Abstract.
Katsaliaki K, Mustafee N (2011). Applications of simulation within the healthcare context.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY,
62(8), 1431-1451.
Author URL.
Taylor SJE, Mustafee N (2011). Distributed Simulation in. <scp>ORMS</scp>.
Abstract:
Distributed Simulation in. ORMS
Abstract
. Commercial off‐the‐shelf (COTS) simulation packages (CSPs) are tools typically used in Operational Research and Management Science for discrete‐event simulation. Distributed simulations using these can be widely beneficial. These require CSP interoperability, that is, a set of techniques that facilitate the execution of a distributed simulation over several computers or for several simulations running on different computers to run together. This article introduces reasons for using distributed simulation and CSP interoperability. A set of guiding techniques used to simplify their realization is then presented. A case study of a health‐care application is used to demonstrate how these are used in practice.
Abstract.
Katsaliaki K, Mustafee N, Dwivedi YK (2011). Erratum: a profile of OR research and practice published in the Journal of the Operational Research Society (Journal of the Operational Research Society (2011) 61 (82-94) DOI: 10.1057/jors.2009.137). Journal of the Operational Research Society, 62(8), 1596-1597.
Katsaliaki K, Mustafee N, Dwivedi YK, Williams T, Wilson JM (2010). A profile of or research and practice published in the Journal of the Operational Research Society.
Journal of the Operational Research Society,
61(1), 82-94.
Abstract:
A profile of or research and practice published in the Journal of the Operational Research Society
In this paper we reflect on the last 10 years of the Journal of the Operational Research Society (JORS). We use metadata and citation analysis to profile OR research and practice published in this prestigious journal. The analysis of the published material includes examining variables such as the most productive authors, the papers having the highest number of citations, the universities and organisations associated with the most publications and their geographic diversity, OR techniques and their application areas, the number of authors per paper, the background of the authors, etc. Moreover, this work includes variables from a previously published study of JORS that profiled research from 1981 to 1999. Therefore, the analysis allows a comparison to be conducted between some of the findings of the two studies. This research has implications for researchers, journal editors and research institutions. © 2010 Operational Research Society Ltd. All rights reserved.
Abstract.
Dwivedi YK, Williams MD, Lal B, Mustafee N (2010). An analysis of literature on consumer adoption and diffusion of information system/information technology/information and communication technology.
International Journal of Electronic Government Research,
6(4), 58-73.
Abstract:
An analysis of literature on consumer adoption and diffusion of information system/information technology/information and communication technology
This paper provides a comprehensive and systematic review of literature pertaining to consumer/household/ residential adoption and diffusion issues in relation to ICT/IT/IS to ascertain the current "state of play" within the field along a number of dimensions. Eighty articles on the adoption, acceptance and diffusion of ICT/IT/ IS, published in 54 peer reviewed journals between 1998 and 2008, were reviewed, from which information on a series of variables were extracted. The subsequent findings suggest that the positivist paradigm, empirical and quantitative research, the survey method and the TAM theory were predominantly used when investigating the topics of the adoption and diffusion of technology within the consumer/household/residential context. Copyright © 2010, IGI Global.
Abstract.
Mustafee N (2010). Exploiting grid computing, desktop grids and cloud computing for escience: Future directions.
Transforming Government: People, Process and Policy,
4(4), 288-298.
Abstract:
Exploiting grid computing, desktop grids and cloud computing for escience: Future directions
Purpose – the purpose of this paper is to examine three different, but related, distributed computing technologies in the context of publicfunded escience research, and to present the author's viewpoint on future directions. Design/methodology/approach the paper takes a critical look at the stateoftheart with regard to three enabling technologies for escience. It forms a set of arguments to support views on the evolution of these technologies in support of the escience applications of the future. Findings Although grid computing has been embraced in publicfunded higher education institutions and research centres as an enabler for projects pertaining to escience, the adoption of desktop grids is low. With the advent of cloud computing and its promise of ondemand provisioning of computing resources, it is expected that the conventional form of grid computing will gradually move towards cloudbased computing. However, cloud computing also brings with it the “payperuse” economic model, and this may act as stimulus for organisations engaged in escience to harvest existing underutilised computation capacity through the deployment of organisationwide desktop grid infrastructures. Conventional grid computing will continue to support future escience applications, although its growth may remain stagnant. Originality/value the paper argues that there will be a gradual shift in the underlying distributed computing technologies that support escience applications of the future. While cloud computing and desktop grid computing will gain in prominence, the growth of traditional clusterbased grid computing may remain dormant. © 2010, Emerald Group Publishing Limited
Abstract.
Katsaliaki K, Mustafee N (2010). Improving decision making in healthcare services through the use of existing simulation modelling tools and new technologies.
Transforming Government: People, Process and Policy,
4(2), 158-171.
Abstract:
Improving decision making in healthcare services through the use of existing simulation modelling tools and new technologies
Purpose: the purpose of this paper is to investigate the viability of using distributed simulation to execute large and complex healthcare simulation models which help government take informed decisions. Design/methodology/approach: the paper compares the execution time of a standalone healthcare supply chain simulation with its distributed counterpart. Both the standalone and the distributed models are built using a commercial simulation package (CSP). Findings: the results show that the execution time of the standalone healthcare supply chain simulation increases exponentially as the size and complexity of the system being modelled increases. On the other hand, using distributed simulation approach decreases the run time for large and complex models. Research limitations/implications: the distributed approach of executing different parts of a single simulation model over different computers is only viable when the model: can be divided into logical parts and the exchange of information between these parts occurs at constant simulated time intervals; is sufficiently large and complicated, such that executing the model over a single processor is very time consuming. Practical implications: Based on a feasibility study of the UK National Blood Service we demonstrate the effectiveness of distributed simulation and argue that it is a vital technique in healthcare informatics with respect to supporting decision making in large healthcare systems. Originality/value: to the best of the knowledge, this is the first feasibility study in healthcare which shows the outcome of modelling and executing a distributed simulation using unmodified CSPs and a software/middleware for distributed simulation. © Emerald Group Publishing Limited.
Abstract.
Dwivedi YK, Mustafee N (2010). It's unwritten in the Cloud: the technology enablers for realising the promise of Cloud Computing.
Journal of Enterprise Information Management,
23(6), 673-679.
Abstract:
It's unwritten in the Cloud: the technology enablers for realising the promise of Cloud Computing
Purpose – the purpose of this paper is to evaluate, through arguments, the enabling factors that are expected to facilitate the adoption of Cloud Computing. Design/methodology/approach – the approach is based on the study of the recent developments in ICT and the authors' views and arguments as to how such advancements are expected to lead to an increased adoption of Cloud Computing. Findings – Several ICT areas have to be developed in conjunction for the promise of Cloud Computing to be realised. These include (but are not limited to) the development of parallel programming paradigms and open source software, Cloud access to high performance computing, Green IT, investment in low-cost access-cum-computing devices and hi-speed networks. Originality/value – the paper identifies the current advances in ICT and its expected influence on the adoption of Cloud computing. Furthermore, it lays emphasis on the developing economies and discusses the low-cost technologies and infrastructure investments (including government subsidies) required to provide Cloud-access to the masses. © 2010, Emerald Group Publishing Limited
Abstract.
Katsaliaki K, Mustafee N, Taylor SJE (2010). Methodology for profiling literature in healthcare simulation.
Proceedings of the 2010 Operational Research Society Simulation Workshop, SW 2010, 59-69.
Abstract:
Methodology for profiling literature in healthcare simulation
The publications that relate to the application of simulation to healthcare have steadily increased over the years. These publications are scattered amongst various journals that belong to several subject categories, including Operational Research, Health Economics and Pharmacokinetics. The simulation techniques that are applied to the study of healthcare problems are also varied. The aim of this study is to present a methodology for profiling literature in healthcare simulation. In our methodology, we have considered papers on healthcare that have been published between 1970 and 2007 in journals with impact factors that belonging to various subject categories reporting on the application of four simulation techniques, namely, Monte Carlo Simulation, Discrete-Event Simulation, System Dynamics and Agent-Based Simulation. The methodology has the following objectives: (a) to categorise the papers under the different simulation techniques and identify the healthcare problems that each technique is employed to investigate; (b) to profile, within our dataset, variables such as authors, article citations, etc.; (c) to identify turning point (strategically important) papers and authors through co-citation analysis of references cited by the papers in our dataset. The focus of the paper is on the literature profiling methodology, and not the results that have been derived through the application of this methodology. The authors hope that the methodology presented here will be used to conduct similar work in not only healthcare but also other research domains.
Abstract.
Mustafee N, Katsaliaki K, Taylor SJE (2010). Profiling literature in healthcare simulation.
Simulation,
86(8-9), 543-558.
Abstract:
Profiling literature in healthcare simulation
The publications that relate to the application of simulation to healthcare have steadily increased over the years. These publications are scattered amongst various journals that belong to several subject categories, including operational research, health economics and pharmacokinetics. The simulation techniques that are applied to the study of healthcare problems are also various. The aim of this study, therefore, is to review healthcare simulation literature that have been published between 1970 and 2007 in high-quality journals belonging to various subject categories and that report on the application of four simulation techniques, namely, Monte Carlo simulation, discrete-event simulation, system dynamics and agent-based simulation. Arguably, journal impact factor is fundamental in assessing the quality of publications. Thus, the 201 publications selected for review have been queried from the ISI Web of Science bibliographic database of high-impact research journals. Through a review of healthcare simulation literature the following three objectives have been realized: (a) papers have been categorized under the different simulation techniques, and the healthcare problems that each technique is employed to investigate are identified; (b) variables such as authors, article citations, etc. within our dataset of healthcare papers have been profiled; (c) turning point (strategically important) papers and authors have been identified through co-citation analysis of references cited by the papers in our dataset. The above objectives have been realized by devising and then employing a methodology for profiling literature. It is expected that this review paper will help the readers gain a broader understanding of research in healthcare simulation. © 2010 the Society for Modeling and Simulation International.
Abstract.
Dwivedi YK, Mustafee N (2010). Profiling research published in the Journal of Enterprise Information Management (JEIM).
Journal of Enterprise Information Management,
23(1), 8-26.
Abstract:
Profiling research published in the Journal of Enterprise Information Management (JEIM)
Purpose – the purpose of this paper is to analyse research published in the Journal of Enterprise Information Management (JEIM) in the last ten years (1999-2008). Design/methodology/approach – Employing a profiling approach, the analysis of the 381 JEIM publications includes examining variables such as the most active authors, geographic diversity, authors' backgrounds, co-author analysis, research methods and keyword analysis. Findings – all the findings are in relation to the period of analysis (1999-2008). Research categorised under descriptive, theoretical and conceptual methods is the most dominant research approach followed by JEIM authors. This is followed by case study research. The largest proportion of contributions comes from researchers and practitioners with an information systems (IS) background, followed by those with a background in business and computer science and IT. The keyword analysis suggests that “IS”, “electronic commerce”, “internet”, “logistics”, “supply chain management”, “decision making”, “small to medium-sized enterprises”, “information management”, “outsourcing” and “modelling” are the most frequently investigated keywords. The paper presents and discusses the findings obtained from the citation analysis that determines the impact of the research published in JEIM. Originality/value – the primary value of this paper lies in extending the understanding of the evolution and patterns of IS research. This has been achieved by analysing and synthesising existing JEIM publications. © 2010, Emerald Group Publishing Limited
Abstract.
Mustafee N, Taylor SJE (2010). Speeding-up the execution of credit risk simulations using desktop grid computing: a case study.
Proceedings of the 2010 Operational Research Society Simulation Workshop, SW 2010, 176-183.
Abstract:
Speeding-up the execution of credit risk simulations using desktop grid computing: a case study
This paper describes a case study that was undertaken at a leading European Investment bank in which desktop grid computing was used to speed-up the execution of Monte Carlo credit risk simulations. The credit risk simulations were modelled using commercial-off-the-shelf simulation packages (CSPs). The CSPs did not incorporate built-in support for desktop grids, and therefore the authors implemented a middleware for desktop grid computing, called WinGrid, and interfaced it with the CSP. The performance results show that WinGrid can speed-up the execution of CSP-based Monte Carlo simulations. However, since WinGrid was installed on non-dedicated PCs, the speed-up achieved varied according to users' PC usage. Finally, the paper presents some lessons learnt from this case study. It is expected that this paper will encourage simulation practitioners and CSP vendors to experiment with desktop grid computing technologies with the objective of speeding-up simulation experimentation.
Abstract.
Katsaliaki K, Mustafee N, Taylor SJE, Brailsford S (2009). Comparing conventional and distributed approaches to simulation in a complex supply-chain health system.
Journal of the Operational Research Society,
60(1), 43-51.
Abstract:
Comparing conventional and distributed approaches to simulation in a complex supply-chain health system
Decision making in modern supply chains can be extremely daunting due to their complex nature. Discrete-event simulation is a technique that can support decision making by providing what-if analysis and evaluation of quantitative data. However, modelling supply chain systems can result in massively large and complicated models that can take a very long time to run even with today's powerful desktop computers. Distributed simulation has been suggested as a possible solution to this problem, by enabling the use of multiple computers to run models. To investigate this claim, this paper presents experiences in implementing a simulation model with a conventional approach and with a distributed approach. This study takes place in a healthcare setting, the supply chain of blood from donor to recipient. The study compares conventional and distributed model execution times of a supply chain model simulated in the simulation package Simul8. The results show that the execution time of the conventional approach increases almost linearly with the size of the system and also the simulation run period. However, the distributed approach to this problem follows a more linear distribution of the execution time in terms of system size and run time and appears to offer a practical alternative. On the basis of this, the paper concludes that distributed simulation can be successfully applied in certain situations. Journal of the Operational Research Society (2009) 60, 43-51. doi:10.1057/palgrave.jors.2602531 Published online 28 November 2007©2009 Operational Research Society Ltd. All rights reserved. 0160-5682/09.
Abstract.
Mustafee N, Taylor SJE, Katsaliaki K, Brailsford S (2009). Facilitating the analysis of a UK national blood service supply chain using distributed simulation.
Simulation,
85(2), 113-128.
Abstract:
Facilitating the analysis of a UK national blood service supply chain using distributed simulation
In an attempt to investigate blood unit ordering policies, researchers have created a discrete-event model of the UK National Blood Service (NBS) supply chain in the Southampton area of the UK. The model has been created using Simul8, a commercial off-the-shelf (COTS) discrete-event simulation package (CSP). However, as more hospitals were added to the model, it was discovered that the length of time needed to perform a single simulation severely increased. It has been claimed that distributed simulation, a technique that uses the resources of many computers to execute a simulation model, can reduce simulation runtime. Further, an emerging standardized approach exists that supports distributed simulation with CSPs. These CSP Interoperability (CSPI) standards are compatible with the IEEE 1516 standard, the High Level Architecture (HLA), the de facto interoperability standard for distributed simulation. To investigate if distributed simulation can reduce the execution time of NBS supply chain simulation, this paper presents experiences of creating a distributed version of the CSP Simul8 according to the CSPI/HLA standards. It shows that the distributed version of the simulation does indeed run faster when the model reaches a certain size. Further, we argue that understanding the relationship of model features is key to performance. This is illustrated by experimentation with two different protocols implementations (using Time Advance Request (TAR) and Next Event Request (NER)). Our contribution is therefore the demonstration that distributed simulation is a useful technique in the timely execution of supply chains of this type and that careful analysis of model features can further increase performance. © 2009 Sage Publications.
Abstract.
Dwivedi YK, Lal B, Mustafee N, Williams MD (2009). Profiling a decade of Information Systems Frontiers' research.
Information Systems Frontiers,
11(1), 87-102.
Abstract:
Profiling a decade of Information Systems Frontiers' research
This article analyses the first 10 years of research published in the Information Systems Frontiers (ISF) from 1999 to 2008. The analysis of the published material includes examining variables such as most productive authors, citation analysis, universities associated with the most publications, geographic diversity, authors' backgrounds and research methods. The keyword analysis suggests that ISF research has evolved from establishing concepts and domain of information systems (IS), technology and management to contemporary issues such as outsourcing, web services and security. The analysis presented in this paper has identified intellectually significant studies that have contributed to the development and accumulation of intellectual wealth of ISF. The analysis has also identified authors published in other journals whose work largely shaped and guided the researchers published in ISF. This research has implications for researchers, journal editors, and research institutions. © 2008 Springer Science+Business Media, LLC.
Abstract.
Mustafee N, Taylor SJE (2009). Speeding up simulation applications using wingrid.
Concurrency and Computation: Practice and Experience,
21(11), 1504-1523.
Abstract:
Speeding up simulation applications using wingrid
The vision of grid computing is to make computational power, storage capacity, data and applications available to users as readily as electricity and other utilities.Grid infrastructures and applications have traditionally been geared towards dedicated, centralized, high-performance clusters running on UNIX 'flavour'operating systems (commonly referred to as cluster-based grid computing).This can be contrasted with desktop-based grid computing that refers to the aggregation of non-dedicated, de-centralized, commodity PCs connected through a network and running (mostly) the Microsoft Windows operating system.Large-scale adoption of such Windows-based grid infrastructure may be facilitated via grid enabling existingWindows applications.This paper presents the wingrid approach to grid-enabling existing Windows-based commercial-off-the-shelf simulation packages (CSPs).Through the use of two case studies developed in conjunction with a major automotive company and a leading investment bank, respectively, the contribution of this paper is the demonstration of how experimentation with the CSP Witness (Lanner Group) and the CSP Analytics (SunGard Corporation) can achieve speedup when using WinGrid middleware on both dedicated and non-dedicated grid nodes.It is hoped that this research would facilitate wider acceptance of desktop grid computing among enterprises interested in a low-intervention technological solution to speeding up their existing simulations. © 2009 John Wiley & Sons, Ltd.
Abstract.
Bell D, Mustafee N, de Cesare S, Taylor SJE, Lycett M, Fishwick PA (2008). Ontology engineering for simulation component reuse.
International Journal of Enterprise Information Systems,
4(4), 47-61.
Abstract:
Ontology engineering for simulation component reuse
Commercial-off-the-shelf(COTS) Simulation Packages (CSP) are widely used in industry primarily due to economic factors associated with developing proprietary software platforms. Regardless of their widespread use, CSPs have yet to operate across organizational boundaries. The limited reuse of CSPs is affected by the same semantic issues that restrict the inter-organizational use of software components and Web services. The current representations of Web components are predominantly syntactic in nature lacking the fundamental semantic underpinning required to support discovery on the emerging Semantic Web. We present new research that partially alleviates the problem of limited semantic interoperability and reuse of simulation components in CSPs. Semantic models, in the form of ontologies, utilized by Web service discovery and deployment architecture provide one approach to support simulation model reuse. Although specific to CSPs this work has wider implications for the simulation community. Copyright © 2009, IGI Global.
Abstract.
Taylor SJE, Mustafee N, Turner SJ, Ahlander H, Ayani R (2005). A Comparison of CMB- and HLA-Based Approaches to Type I Interoperability Reference Model Problems for COTS-Based Distributed Simulation.
Simulation,
81(1), 33-43.
Abstract:
A Comparison of CMB- and HLA-Based Approaches to Type I Interoperability Reference Model Problems for COTS-Based Distributed Simulation
Commercial off-the-shelf (COTS) simulation packages (CSPs) are software used by many simulation modelers to build and experiment with models of various systems in domains such as manufacturing, health, logistics, and commerce. As part of an ongoing standardization effort, this article introduces the COTS Simulation Package Emulator (CSPE), a proposed benchmark that can be used to investigate asynchronous entity-passing problems as described by the Type I interoperability reference model for COTS-based distributed simulation. To demonstrate its use, two approaches to this form of interoperability are discussed: an implementation based on the Chandy-Misra-Bryant (CMB) conservative algorithm and an implementation based on the High Level Architecture (HLA) Time Advance Request (TAR). It is shown the HLA approach outperforms the CMB approach in almost all cases. The article concludes that the CSPE benchmark is a valid basis from which the most efficient approach to Type I interoperability problems for COTS-based distributed simulation can be discovered. © 2005, Sage Publications. All rights reserved.
Abstract.
Conferences
Staff ME, Mustafee N (2023). Discrete-Event Simulation to Support the Management of Perishable Inventory – a Review. SW23 the OR Society Simulation Workshop.
Mustafee N, Harper A, Viana J (2023). Hybrid Models with Real-time Data: Characterising Real-time Simulation and Digital Twins. SW23 the OR Society Simulation Workshop.
Shenker N, Staff M, Mustafee N, Weaver G, Hamill-Keays J (2022). 770 Modelling the future hospital usage of donor human milk to facilitate the planning of equitable national services. Paediatric Clinical Leaders: Service Planning, Provision and Best Practice.
Mustafee N, Harper A, Fakhimi M (2022). From Conceptualization of Hybrid Modelling & Simulation to Empirical Studies in Hybrid Modelling. 2022 Winter Simulation Conference (WSC). 11th - 14th Dec 2022.
Harper A, Mustafee N, Yearworth M (2022). The Issue of Trust and Implementation of Results in Healthcare Modeling and Simulation Studies. 2022 Winter Simulation Conference (WSC). 11th - 14th Dec 2022.
Das S, Ramamohan V, Mustafee N (2021). A Discrete Simulation Optimization Approach Towards Calibration of an Agent-Based Simulation Model of Hepatitis C Virus Transmission. 2021 Winter Simulation Conference (WSC).
Chen C-N, Evans B, Khoury M, Chen A, Mustafee N, Vamvakeridou-Lyroudia L, Djordjević S, Savić D (2021). Participatory Hybrid Decision Support Modelling Framework for Industrial Symbiosis. the virtual conference of AQUA≈360: Water for all - Emerging Issues and Innovations. 31st Aug - 2nd Sep 2021.
Mustafee N, Harper A, Onggo S (2020). Hybrid Modelling and Simulation (M&S): Driving Innovation in the Theory and Practice of M&S. 2020 Winter Simulation Conference. 14th - 18th Dec 2020.
Fatma N, Mohd S, Mustafee N, Ramamohan V (2020). Primary Healthcare Delivery Network Simulation using Stochastic Metamodels. 2020 Winter Simulation Conference. 14th - 18th Dec 2020.
Howard M, Yan X, Mustafee N, Boehm S, Hopkinson P, Charnley F, Pascucci S (2020). Seven Tools for the Circular Economy: from Linear Flows to Systems Value Recapture. International Society for Circular Economy (IS4CE). 6th - 7th Jul 2020.
Harper A, Mustafee N (2019). A Hybrid Modelling Approach Using Forecasting and Real-Time Simulation to Prevent Emergency Department Overcrowding.
Abstract:
A Hybrid Modelling Approach Using Forecasting and Real-Time Simulation to Prevent Emergency Department Overcrowding
Abstract.
Fishwick P, Mustafee N (2019). Broadening Participation in Modelling.
Abstract:
Broadening Participation in Modelling
Abstract.
Eldabi T, Brailsford S, Djanatliev A, Kunc M, Mustafee N, Osorio AF, IEEE (2019). HYBRID SIMULATION CHALLENGES AND OPPORTUNITIES: a LIFE-CYCLE APPROACH.
Author URL.
Bell D, Groen D, Mustafee N, Ozik J, Strassburger S (2019). Hybrid Simulation Development - is it Just Analytics?.
Abstract:
Hybrid Simulation Development - is it Just Analytics?
Abstract.
Harper A, Mustafee N (2019). Proactive service recovery in emergency departments: a hybrid modelling approach using forecasting and real-time simulation.
Abstract:
Proactive service recovery in emergency departments: a hybrid modelling approach using forecasting and real-time simulation
Abstract.
Howard MB, Boehm S, Eatherly D, Lobley M, Mustafee N, Vamvakeridou-Lyroudia L (2018). A Capability Maturity Model for the Circular Economy: an Agri-food Perspective. Circular Economy Disruption: Past, Present & Future – an academic symposium. 17th - 19th Jun 2018.
Morteza A, Mehdi A-A, Mustafee N, Matilal S, Ma J (2018). A Stochastic Casualty Collection Points Location Problem. 2018 IISE Annual Conference. 19th - 22nd May 2018.
Aramo-Immonen H, Carlborg P, Geissinger A, Hasche N, Kash J, Jussila J, Oberg C, Mustafee N (2018). Clustering the imp thought: searching roots and diversities in imp research. 34th Annual Industrial Marketing & Purchasing Conference. 4th - 7th Sep 2018.
Mustafee N, Powell JH (2018). FROM HYBRID SIMULATION TO HYBRID SYSTEMS MODELLING. 2018 Winter Simulation Conference (WSC). 9th - 12th Dec 2018.
Mustafee N, Powell JH, Harper A (2018). RH-RT: a data analytics framework for reducing wait time at emergency departments and centres for urgent care.
Abstract:
RH-RT: a data analytics framework for reducing wait time at emergency departments and centres for urgent care
Abstract.
Onggo BS, Juan AA, Mustafee N, Smart A, Molloy O (2018). Symbiotic simulation system: Hybrid systems model meets big data analytics.
Abstract:
Symbiotic simulation system: Hybrid systems model meets big data analytics
Abstract.
Jussila J, Mustafee N, Helander N, Menon K, Aramo-Immonen H, Hajikhani A (2017). A Bibliometric Study on Authorship Trends and Research Themes in Knowledge Management Literature. 12th International Forum on Knowledge Asset Dynamics (IFKAD 2017). 7th - 9th Jun 2017.
Harper A, Mustafee N, Feeney M (2017). A hybrid approach using forecasting and discrete-event simulation for endoscopy services.
Chan WK, D'Ambrogio A, Zacharewicz G, Mustafee N (2017). From the Editors.
Mustafee N, Islam N, Jia J, Fakhimi M (2017). Innovation Process in 3D Printing Discontinuous Innovation. BAASANA 2017 International Conference. 16th - 18th Aug 2017.
Mustafee N, Powell JH, Martin S, Fordyce A, Harper A (2017). Investigating the use of real-time data in nudging patients' Emergency Department (ED) attendance behaviour.
Abstract:
Investigating the use of real-time data in nudging patients' Emergency Department (ED) attendance behaviour
Abstract.
Fakhimi M, Stergioulas LK, Mustafee N (2017). Modelling for sustainable development using the triple-bottom line: Methods, challenges and the need for hybrid M&S.
Abel G, Gomez Cano M, Smart PA, Mustafee N, Fletcher E, Campbell J (2017). Primary Care Workforce: How can we Identify those General Practices at Risk of a Supply-Demand Imbalance?. 46th Annual Scientific Meeting of the Society for Academic Primary Care (SAPC ASM 2017). 12th - 14th Jul 2017.
Mustafee N, Brailsford SC, Djanatliev A, Eldabi T, Kunc MH, Tolk A (2017). Purpose and benefits of hybrid simulation: Contributing to the convergence of its definition.
Mustafee N, Powell JH, Harper A (2017). Right hospital- right time: a business analytics framework for analysing urgent care/a&e wait time data.
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Right hospital- right time: a business analytics framework for analysing urgent care/a&e wait time data
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Mustafee N, Powell JH (2017). Towards a unifying conceptual representation of hybrid simulation and hybrid systems modelling.
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Towards a unifying conceptual representation of hybrid simulation and hybrid systems modelling
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Mustafee N, Katsaliaki K (2016). A keyword classification scheme for OR/MS and M&S.
Mustafee N, Katsaliaki K (2016). A keyword classification scheme for OR/MS and M&S.
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A keyword classification scheme for OR/MS and M&S
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Eldabi T, Balaban M, Brailsford S, Mustafee N, Nance RE, Onggo BS, Sargent RG (2016). Hybrid Simulation: Historical lessons, present challenges and futures.
Mustafee N, Powell J, Brailsford SC, Diallo S, Padilla J, Tolk A (2016). Hybrid simulation studies and Hybrid Simulation systems: Definitions, challenges, and benefits.
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Hybrid simulation studies and Hybrid Simulation systems: Definitions, challenges, and benefits
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Mustafee N, Wienke A, Smart A, Godsiff P (2016). Learning Maintenance, Repair and Operations (MRO) concepts in offshore wind industry through game-based learning.
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Learning Maintenance, Repair and Operations (MRO) concepts in offshore wind industry through game-based learning
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Fakhimi M, Stergioulas LK, Mustafee N (2016). Modelling for the Triple-Bottom Line: an investigation of Hybrid Simulation for sustainable development analysis.
Mustafee N, Powell JH, Martin S, Fordyce A (2016). Reducing Pressure in Emergency Departments through Information Transparency and Real-Time Data: a Case Study from Torbay and South Devon. Fourth International Conference on Business Analytics and Intelligence. 19th - 21st Dec 2016.
Mustafee N, Mittal S, Zacharewicz G (2016). Welcome from the SpringSim'16 Conference Chairs.
Mustafee N, Mittal S, Zacharewicz G (2016). Welcome from the SpringSim'16 conference chairs.
Mustafee N, Sahnoun M, Smart, Godsiff P (2015). An Application of Distributed Simulation for Hybrid Modeling of Offshore Wind Farms. 2015 ACM SIGSIM/PADS Conference on Principles of Advanced Discrete Simulation. 10th - 12th Jun 2015.
Fakhimi M, Mustafee N, Stergioulas L (2015). An Investigation of Hybrid Simulation for Modeling Sustainability in Healthcare. 2015 Winter Simulation Conference. 6th - 9th Dec 2015.
Wienke A, Mustafee N (2015). An Investigation of ‘Soft’ Operations Research Methods to Inform Hybrid Simulation Studies on Environmental Disasters. 2015 Spring Simulation Multi-Conference (SpringSim'15). 12th - 15th Apr 2015.
Mustafee N, Sahnoun M, Smart PA, Godsiff P, Baudry D, Louis A (2015). Investigating Execution Strategies for Hybrid Models developed using Multiple M&S Methodologies. 2015 Spring Simulation Multi-Conference (SpringSim'15). 12th - 15th Apr 2015.
Fakhimi M, Mustafee N, Stergioulas L (2015). Modelling and Simulation for Sustainable Development:. A Shift from Normal to Post-Normal Modelling and Simulation Paradigms. 27th European Conference on Operational Research (EURO 27). 12th - 15th Jul 2015.
Simon SJE, Mustafee N, Son Y-J (2015). Proceedings of the 2015 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (PADS). 2015 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (PADS). 10th - 12th Jun 2015.
(2015). Proceedings of the 3rd ACM Conference on SIGSIM-Principles of Advanced Discrete Simulation, London, United Kingdom, June 10 - 12, 2015.
Mustafee N (2015). Session details: Biological Systems. Proceedings of the 3rd ACM SIGSIM Conference on Principles of Advanced Discrete Simulation.
Mustafee N (2015). Session details: Keynote Address 1. Proceedings of the 3rd ACM SIGSIM Conference on Principles of Advanced Discrete Simulation.
Diallo S, Mustafee N, Zacharewicz G (2015). Towards an Encyclopedia of Modelling and Simulation Methodology. 2015 Winter Simulation Conference. 6th - 9th Dec 2015.
Mustafee N, Katsaliaki K, Taylor SJE (2014). A Review of Literature in Distributed Supply Chain Simulation. 2014 Winter Simulation Conference. 7th - 10th Dec 2014.
Mustafee N, Katsaliaki K, Fishwick P (2014). A journal profiling and co-citation study of SIMULATION: the transactions of the society for modeling and simulation international. 47th Annual Simulation Symposium, ANSS 2014, Part of the 2014 Summer Simulation Multiconference, SummerSim 2014.
Mustafee N, Katsaliaki K, Fishwick PA (2014). A journal profiling and co-citation study of SIMULATION: the transactions of the society for modeling and simulation international.
Powell J, Mustafee N (2014). Health care simulation for policy assessment: Widening requirements capture with soft methods.
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Health care simulation for policy assessment: Widening requirements capture with soft methods
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Taylor SJE, Ghorbani M, Mustafee N, Kiss T, Borosody P, Payne A, Gilbert D (2014). Investigating the Speedup of Systems Biology Simulation using the Sztaki Desktop Grid. 2014 Winter Simulation Conference. 7th - 10th Dec 2014.
Powell J, Mustafee N (2014). SOFT OR APPROACHES IN PROBLEM FORMULATION STAGE OF a HYBRID M&S STUDY.
Author URL.
Sotiriadis S, Bessis N, Asimakopoulou E, Mustafee N (2014). Towards simulating the internet of things.
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Towards simulating the internet of things
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Fakhimi M, Stergioulas L, Mustafee N, Eldabi T (2013). A review of literature in modeling approaches for sustainable development.
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A review of literature in modeling approaches for sustainable development
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Shadi SA, Mustafee N (2013). Business Intelligence in NHS WALES.
Mustafee N, Bessis N, Taylor SJE, Sotiriadis S (2013). Exploring the e-science knowledge base through co-citation analysis.
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Exploring the e-science knowledge base through co-citation analysis
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Kucukkoc I, Mustafee N (2013). OR55 Keynotes and Extended Abstracts: 55th Annual Conference of the UKORS. 55th Annual Conference of the UK Operational Research Society (OR55). 3rd - 5th Sep 2013.
Katsaliaki K, Mustafee N (2013). Towards cooperative simulation-aided decision making in the digital age: a review of literature in distributed supply chain simulation.
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Towards cooperative simulation-aided decision making in the digital age: a review of literature in distributed supply chain simulation
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Katsaliaki K, Mustafee N (2012). A survey of serious games on sustainable development.
Fakhimi M, Mustafee N (2012). Application of operations research within the UK healthcare context.
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Application of operations research within the UK healthcare context
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Zulkepli J, Eldabi T, Mustafee N (2012). Hybrid simulation for modelling large systems: an example of integrated care model.
Mustafee N, Lyons TJ, Rees P, Davies L, Ramsey M, Williams MD (2012). Planning of bed capacities in specialized and integrated care units: incorporating bed blockers in a simulation of surgical throughput.
Mustafee N (2012). Spatial Modeling using Agents.
Mustafee N, Bischoff EE (2011). A multi-methodology agent-based approach for container loading.
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A multi-methodology agent-based approach for container loading
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Taylor SJE, Ghorbani M, Mustafee N, Turner SJ, Kiss T, Farkas D, Kite S, Straßburger S (2011). Distributed computing and modeling & simulation: Speeding up simulations and creating large models.
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Distributed computing and modeling & simulation: Speeding up simulations and creating large models
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Mustafee N (2011). Evolution of is research based on literature published in two leading is journals - EJIS and MISQ.
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Evolution of is research based on literature published in two leading is journals - EJIS and MISQ
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Kite S, Wood C, Taylor SJE, Mustafee N (2011). SAKERGRID: SIMULATION EXPERIMENTATION USING GRID ENABLED SIMULATION SOFTWARE.
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Kite S, Wood C, Taylor SJE, Mustafee N (2011). Sakergrid: Simulation experimentation using grid enabled simulation software.
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Sakergrid: Simulation experimentation using grid enabled simulation software
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Mustafee N, Williams MD, Hughes F, Katsaliaki K (2011). Simulation-based study of hematology outpatient clinics with focus on model reusability.
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Simulation-based study of hematology outpatient clinics with focus on model reusability
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Dwivedi YK, Mustafee N, Carter LD, Williams MD (2010). A bibliometric comparision of the usage of two theories of IS/IT acceptance (TAM and UTAUT).
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A bibliometric comparision of the usage of two theories of IS/IT acceptance (TAM and UTAUT)
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Mustafee N, Dwivedi YK, Bell D, Williams MD (2010). A methodology for profiling literature using co-citation analysis.
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A methodology for profiling literature using co-citation analysis
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Dwivedi YK, Mustafee N, Williams MD, Lal B (2010). Developing a broadband adoption model in the UK context.
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Developing a broadband adoption model in the UK context
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Wood C, Kite S, Taylor SJE, Mustafee N (2010). Developing a grid computing system for commercial-off-the-shelf simulation packages.
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Developing a grid computing system for commercial-off-the-shelf simulation packages
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Mustafee N, Taylor SJE (2010). Grid services for commercial simulation packages.
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Grid services for commercial simulation packages
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Taylor SJE, Mustafee N, Kite S, Wood C, Turner SJ, Straßburger S (2010). Improving simulation through advanced computing techniques: Grid computing and simulation interoperability.
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Improving simulation through advanced computing techniques: Grid computing and simulation interoperability
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Mustafee N, Katsaliaki K (2010). The blood supply game.
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The blood supply game
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Dwivedi YK, Mustafee N, Williams MD, Lal B (2009). Classification of information systems research revisited: a keyword analysis approach.
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Classification of information systems research revisited: a keyword analysis approach
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Taylor SJE, Mustafee N, Turner SJ, Pan K, Strassburger S (2009). Commercial-off-the-shelf simulation package interoperability: Issues and futures.
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Commercial-off-the-shelf simulation package interoperability: Issues and futures
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Mustafee N, Taylor SJE (2008). Supporting simulation in industry through the application of grid computing.
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Supporting simulation in industry through the application of grid computing
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Zhang J, Mustafee N, Saville J, Taylor SJE (2007). Integrating BOINC with microsoft excel: a case study.
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Integrating BOINC with microsoft excel: a case study
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Bell D, de Cesare S, Lycett M, Mustafee N, Taylor SJ (2007). Semantic Web Service Architecture for Simulation Model Reuse. 11th IEEE International Symposium on Distributed Simulation and Real-Time Applications (DS-RT'07). 22nd - 26th Oct 2007.
Bell D, De Cesare S, Lycett M, Mustafee N, Taylor SJE (2007). Semantic web service architecture for simulation model reuse.
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Semantic web service architecture for simulation model reuse
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Taylor SJE, Mustafee N, Strassburger S, Turner SJ, Low MYH, Ladbrook J (2007). The siso CSPI PDG standard for commercial off-the-shelf simulation package interoperability reference models.
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The siso CSPI PDG standard for commercial off-the-shelf simulation package interoperability reference models
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Mustafee N, Taylor SJE, Brailsford SC, Katsaliaki K (2007). Using CSPI Distributed Simulation Standards for the Analysis of a Health Supply Chain. Simulation and Visualization 2007. 8th - 9th Mar 2007.
Bell D, Mustafee N, De Cesare S, Lycett M, Taylor SJE (2006). A web services component discovery and deployment architecture for simulation model reuse.
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A web services component discovery and deployment architecture for simulation model reuse
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Mustafee N, Taylor SJE, Katsaliaki K, Brailsford S (2006). Distributed simulation with cots simulation packages: a case study in health care supply chain simulation.
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Distributed simulation with cots simulation packages: a case study in health care supply chain simulation
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Mustafee N, Alstad A, Larsen B, Taylor SJE, Ladbrook J (2006). Grid-enabling FIRST: Speeding up simulation applications using WinGrid.
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Grid-enabling FIRST: Speeding up simulation applications using WinGrid
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Mustafee N, Taylor S, Katsaliaki K, Brailsford S (2006). NBS supply chain simulation using Simul8 and HLA.
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NBS supply chain simulation using Simul8 and HLA
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Mustafee N, Taylor SJE (2006). Using a desktop grid to support simulation modelling.
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Using a desktop grid to support simulation modelling
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Taylor SJE, Mustafee N (2003). An analysis of internal/external event ordering strategies for cots distributed simulation. 15th European Simulation Symposium (ESS). 26th - 29th Oct 2003.
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