Engineering

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ECMM111 - Operational Research and Industrial Systems Modelling (2015)

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MODULE TITLEOperational Research and Industrial Systems Modelling CREDIT VALUE15
MODULE CODEECMM111 MODULE CONVENERProf David Zhang (Coordinator)
DURATION: TERM 1 2 3
DURATION: WEEKS 0 11 weeks 0
Number of Students Taking Module (anticipated) 4
DESCRIPTION - summary of the module content

This module aims to give you an understanding of how manufacturing and service industries can be helped by mathematical modelling and computer simulation.

In the operational research section, you will concentrate on linear programming, a mathematical method for determining a way to achieve the best outcome. You will also focus on simple queue models, including steady state queues with one server, and steady state queues with several servers. Meanwhile, in the simulation section, you will concentrate on simulation mechanisms and the construction and use of simulation models with practical examples.

AIMS - intentions of the module

Mathematical modelling and computer simulation have a number of practical uses within the manufacture and service industries. On this practical, hands on module, you will learn about the principles of computer-based simulation and its application in a commercial manufacture and service environment.

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 U2, E3, S2, S5, MU1 - MU4, ME1 - ME3, MD2, MS1, MS2, GM1, GM3 and 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 illustrate in writing a systematic understanding of linear programming methods, queuing theory, and discrete event simulation;
2 exemplify through work, in-depth knowledge and understanding of various tools and techniques for linear programming, queue analysis, and simulation, and apply them to practical problems;
3 understand the use of computers and mathematical models as aids to decision making and strategic management analysis.
Discipline Specific Skills and Knowledge:
4 analyse industrial situations, formulate optimisation problems, and use optimisation methods/packages to solve such problems;
5 recognise industrial situations giving rise to queues and able to analyse simple queue models;
6 appreciate industrial situations that can be improved through simulation, and construct simulation models, using either programming techniques or packages, to analyse and solve problems.
Personal and Key Transferable/ Employment Skills and  Knowledge:
7 demonstrate professional project management skills, through set problem sheets and assignments, in terms of setting targets, scheduling and progress control, and practical simulation projects;
8 work naturally, constructively and supportively within a team, adapting any role required, to develop solutions to typical new business problems;
9 show professional communication and presentation skills through project work and interaction with industry.

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

- operational research approach to modelling;

- formulation of OR problem and case studies;

- graphical modelling and solution;

- what if analysis of LP models;

- transportation problems;

- integer problems;

- introduction to queue models;

- steady state queues with one server;

- steady state queues with several servers;

- overview of applications and characterisation of simulation;

- mechanisms of simulation;

- construction of simulation models, modelling tools;

- stochastic simulation with software;

- simulation results analysis;

- mini simulation projects with Witness.

LEARNING AND TEACHING
LEARNING ACTIVITIES AND TEACHING METHODS (given in hours of study time)
Scheduled Learning & Teaching Activities 44.00 Guided Independent Study 106.00 Placement / Study Abroad
DETAILS OF LEARNING ACTIVITIES AND TEACHING METHODS
Category Hours of study time Description
Scheduled learning and teaching activities 20 Lectures
Scheduled learning and teaching activities 12 Tutorials
Scheduled learning and teaching activities 12 Laboratories
Guided independent study 106 Lecture and 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
Question asked in lectures N/A All Answers provided on the spot
       
       
       
       

 

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 – closed book 70 2 hours All Exam mark
Coursework – simulation project 30 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

If a module is normally assessed entirely by coursework, all referred/deferred assessments will normally be by assignment.

If a module is normally assessed by examination or examination plus coursework, referred and deferred assessment will normally be by examination. 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 Fishman, G S Principles of Discrete Event Simulation John Wiley & Sons 1979 000-0-471-04395-8 [Library]
Set Taha, H,A Operations Research: An introduction 8th Prentice Hall 2011 978-0131360143 [Library]
CREDIT VALUE 15 ECTS VALUE 7.5
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 Mathematical modelling, computer simulation; operations research.