Engineering Management Science

Module description

The course is intended to give students a firm basis in essential methodologies for the development of operational research skills, and to act as an aid towards the understanding and deployment of simulation modeling technologies, and their effectiveness when utilized to tackle modern engineering management science problems. Knowledge gained from this course will also be useful for the integration and appreciation of a range of associated courses, especially in manufacturing and operational analysis areas.

Full module specification

Module title:Engineering Management Science
Module code:ECMM120
Module level:M
Academic year:2014/5
Module lecturers:
  • Professor David Zhang - Convenor
Module credit:30
ECTS value:


Duration of module: Duration (weeks) - term 1:


Duration (weeks) - term 2:


Duration (weeks) - term 3:


Module aims

To provide an understanding of modern engineering management science and technologies, including manufacturing and information management, statistical process control, operations research, industrial systems modelling/simulation, and operational strategies.

This module covers Specific Learning Outcomes in Engineering, which apply to accredited programmes at Bachelors/MEng/Masters level. These contribute to the educational requirements for CEng registration (as defined under the UK Standard for Professional Engineering Competence – UK-SPEC).

This module correlates to references MU1 - MU4, ME1 - ME3, MD1, MD2, MS1, MS2, MP3 and GM1 - GM4.These references are indices of the specific learning outcomes expected of Bachelors/MEng/Masters candidates set out in UK-SPEC, codified with reference to systems used by professional accrediting institutions. A full list of the standards can be found on the Engineering Council's website, at

ILO: Module-specific skills

  • 1. select and apply modern management science and methodologies to example situations;
  • 2. understand modern tools and techniques for engineering management including production planning and control, information systems, process control, linear and dynamic programming, discrete event simulation, systems modelling and analysis, and operational strategies;
  • 3. use learnt engineering management tools and techniques to solve practical problems.

ILO: Discipline-specific skills

  • 4. apply generic engineering management techniques and skills to different industrial/commercial situations;
  • 5. reveal advanced problem-solving skills and adapt such skills to solving increasing complex industrial problems.

ILO: Personal and key skills

  • 6. prove experience in project management skills, through set problem sheets and assignments, in terms of setting targets, scheduling and progress control;
  • 7. illustrate experience of team work skills through group discussions and problem solving;
  • 8. demonstrate experience in making presentations;
  • 9. exhibit advanced independent learning skills.

Learning activities and teaching methods (given in hours of study time)

Scheduled Learning and Teaching ActivitiesGuided independent studyPlacement / study abroad

Details of learning activities and teaching methods

CategoryHours of study timeDescription
Scheduled Learning & Teaching activities55Lectures
Scheduled Learning & Teaching activities22Seminars
Scheduled Learning & Teaching activities20Practicals
Guided independent study203Lecture & assessment preparation; wider reading

Summative assessment (% of credit)

CourseworkWritten examsPractical exams

Details of summative assessment

Form of assessment% of creditSize of the assessment (eg length / duration)ILOs assessedFeedback method
Written exam703 hour, closed book/noteAllExam mark
Manufacturing Systems CA1 (MRP)520 hours1-5, 6, 9Written
Manufacturing Systems CA2 (IDEFO)520 hours1-5, 6, 9Written
Coursework - Operations Research620 hours1-5, 6, 9Written
Simulation Mini-Project1430 hoursAllWritten

Details of re-assessment (where required by referral or deferral)

Original form of assessmentForm of re-assessmentILOs re-assessedTimescale for re-assessment
All aboveWritten exam (100%)AllAugust Ref/Def period

Re-assessment notes

Re-assessed by examination (referral) or examination plus coursework (deferral).

For referrals, only the examination will count, a mark of 40% being awarded if the examination is passed. For deferrals, candidates will be awarded the higher of the deferred examination mark or the deferred examination mark combined with the original coursework mark.

Syllabus plan

Manufacturing and information management; Batch production, scales of production, batch size optimisation, re-ordering methods, lead-time and demand uncertainties, dealing with fluctuating demands; Systems design and analysis, line balancing and layout, systems modelling/analysis techniques; Production planning, scheduling and control, quantities/mix analysis, MRP 1/2, capacity planning, JIT, Kanban, and OPT; Operational research models and methods, linear and non-linear programming, dynamic programming, queuing theory and networks. Discrete event simulation, event, activity and process based simulation, construction of simulation models, petri-net, modern web-based and distributed simulations, Witness simulation of industrial problems; Information systems and management, database management, information systems; Statistical process control, project/marketing management, operational strategies.

Indicative learning resources - Basic reading

Basic reading:



Web based and Electronic Resources:

Other Resources:

  1. ,Inventory Management and Production Planning and Scheduling,Silver, E.A., Pyke, D.F. and Petersen, R.,3rd,Wiley,1998,658.5 SIL,0-471-11947-4,
  2. ,Operations Research: An introduction,Taha, H,A,8th,Prentice Hall,2007,658.4034 TAH,978-0131360143,
  3. ,Operations Management,Slack et. al,,Pitman,,658.5 SLA,0-237-603167,
  4. ,Manufacturing Systems Engineering,Hitomi, K,2nd,Taylor and Francis,1996,670.42 HIT,0748403248,
  5. ,Principles of Discrete Event Simulation,Fishman, G S,,John Wiley & Sons,1979,001.424 FIS,000-0-471-04395-8,
  6. ,Operations Research: applications and algorithms,Winston,3rd,,1994,001.424 WIN,0-534-92495-6,

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