Engineering

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ECMM120 - Engineering Management Science (2015)

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MODULE TITLEEngineering Management Science CREDIT VALUE30
MODULE CODEECMM120 MODULE CONVENERProf David Zhang (Coordinator)
DURATION: TERM 1 2 3
DURATION: WEEKS 0 11 weeks 0
Number of Students Taking Module (anticipated) 13
DESCRIPTION - summary of the module content

This module aims to develop your skills in operational research, applying advanced analytical methods to help you make optimal decsitions. It will also enhance your ability of the use of mathematical modelling technologies to tackle modern engineering management science and supply chain management problems.
 

The knowledge you gain on this module will help you to appreciate a range of associated courses, especially in manufacturing, operational and supply chain analysis areas.

AIMS - intentions of the module

This module aims to give you an understanding of modern management science and supply chain modelling technologies, including manufacturing and information management - supply chain optimization and rationalization; 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 http://www.engc.org.uk
INTENDED LEARNING OUTCOMES (ILOs) (see assessment section below for how ILOs will be assessed)

On successful completion of this module, you should be able to:

 

Module Specific Skills and Knowledge:
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.
Discipline Specific Skills and Knowledge:
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.
Personal and Key Transferable / Employment Skills and Knowledge:
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.

 

 

SYLLABUS PLAN - summary of the structure and academic content of the module

- 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.
 

LEARNING AND TEACHING
LEARNING ACTIVITIES AND TEACHING METHODS (given in hours of study time)
Scheduled Learning & Teaching Activities 97.00 Guided Independent Study 203.00 Placement / Study Abroad 0.00
DETAILS OF LEARNING ACTIVITIES AND TEACHING METHODS
Category Hours of study time Description
Scheduled Learning & Teaching activities 55 Lectures
Scheduled Learning & Teaching activities 22 Seminars
Scheduled Learning & Teaching activities 20 Practicals
Guided independent study 203 Lecture & assessment preparation; wider reading

 

ASSESSMENT
FORMATIVE ASSESSMENT - for feedback and development purposes; does not count towards module grade
Form of Assessment Size of Assessment (e.g. duration/length) ILOs Assessed Feedback Method
       
       
       
       
       
SUMMATIVE ASSESSMENT (% of credit)
Coursework 30 Written Exams 70 Practical Exams
DETAILS OF SUMMATIVE ASSESSMENT
Form of Assessment % of Credit Size of Assessment (e.g. duration/length) ILOs Assessed Feedback Method
Written exam 70 3 hour, closed book/note All Exam mark
Manufacturing Systems CA1 (MRP) 5 20 hours 1-5, 6, 9 Written
Manufacturing Systems CA2 (IDEFO) 5 20 hours 1-5, 6, 9 Written
Simulation Mini-Project 20 30 hours All Written

 

DETAILS OF RE-ASSESSMENT (where required by referral or deferral)
Original Form of Assessment Form of Re-assessment ILOs Re-assessed Time Scale for Re-reassessment
All above Written exam (100%) All August 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 50% 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.

RESOURCES
INDICATIVE LEARNING RESOURCES - The following list is offered as an indication of the type & level of
information that you are expected to consult. Further guidance will be provided by the Module Convener

ELE: http://vle.exeter.ac.uk

 

Reading list for this module:

Type Author Title Edition Publisher Year ISBN Search
Set Silver, E.A., Pyke, D.F. and Petersen, R. Inventory Management and Production Planning and Scheduling 3rd Wiley 1998 0-471-11947-4 [Library]
Set David R. Anderson and Dennis J. Sweeney An Introduction to Management Science: Quantitative Approaches to Decision Making 1st Cengage Learning 2008 13: 978-184480595 [Library]
Set Taha, H,A Operations Research: An introduction 8th Prentice Hall 2011 978-0131360143 [Library]
Set Slack et. al Operations Management Electronic Pitman 2010 0-237-603167 [Library]
Set Hitomi, K Manufacturing Systems Engineering 2nd Taylor and Francis 1996 0748403248 [Library]
Set Fishman, G S Principles of Discrete Event Simulation John Wiley & Sons 1979 000-0-471-04395-8 [Library]
Extended Winston Operations Research: applications and algorithms 3rd 1994 0-534-92495-6 [Library]
CREDIT VALUE 30 ECTS VALUE 15
PRE-REQUISITE MODULES None
CO-REQUISITE MODULES None
NQF LEVEL (FHEQ) 7 AVAILABLE AS DISTANCE LEARNING No
ORIGIN DATE Friday 09 January 2015 LAST REVISION DATE Wednesday 25 November 2015
KEY WORDS SEARCH Management science; decisions; systems; operational research; computer modelling.