Engineering

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ECMM172 - Management Science (2019)

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MODULE TITLEManagement Science CREDIT VALUE15
MODULE CODEECMM172 MODULE CONVENERDr Voicu Ion Sucala (Coordinator)
DURATION: TERM 1 2 3
DURATION: WEEKS 11 weeks
Number of Students Taking Module (anticipated) 0
DESCRIPTION - summary of the module content

This module aims to develop your skills in management science, applying advanced analytical methods to help you make optimal decisions. It will also enhance your ability of the use of mathematical modelling technologies and computer simulation to tackle modern operations 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 and service operational and supply chain analysis areas.

AIMS - intentions of the module

This module aims to give you an understanding of modern management science and operations and supply chain modelling technologies, including: operations research; industrial/service systems modelling/simulation, and advanced topics in management science such as supply chain optimization.

INTENDED LEARNING OUTCOMES (ILOs) (see assessment section below for how ILOs will be assessed)

This is a constituent module of one or more degree programmes which are accredited by a professional engineering institution under licence from the Engineering
Council. The learning outcomes for this module have been mapped to the output standards required for an accredited programme, as listed in the current version
of the Engineering Council’s ‘Accreditation of Higher Education Programmes’ document (AHEP-V3).

This module maps to learning outcomes: SM1m, SM1fl, SM2m, EA3m, EA5m, EA1fl, EA2fl, D1m, D2m, D6m, D7m, D8m, D2fl, D3fl, ET4m, ET4fl, EP1m, EP8m, EP10m, EP3fl, G1m – G4m and G1fl – G4fl

A full list of the referenced outcomes is provided online: http://intranet.exeter.ac.uk/emps/subjects/engineering/accreditation/

The AHEP document can be viewed in full on the Engineering Council’s website, at http://www.engc.org.uk/

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

 

Module Specific Skills and Knowledge: SM1fl,  EA1fl

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:  ET4fl,  EP3fl

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;
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:  G1fl - G4fl

7 prove experience in project management skills, through set problem sheets and assignments, in terms of setting targets, scheduling and progress control;
8 illustrate experience of team work skills through group discussions and problem solving;
9 demonstrate experience in making presentations and communicate your work to technical and non- technical audiences;
10 exhibit advanced independent learning skills.

 

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

- Operation Research problem and case studies;

- graphical modelling and solution; what if analysis of Linear Programming models;

- transportation problems; integer problems;

- queue models; steady state queues with one server and several servers;

- overview of applications and characterisation of computer simulation;

- discrete event simulation; construction of simulation models;

- simulation with Witness software; results analysis; mini simulation project.

- advanced management science topics e.g. supply chain optimisation

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 0.00
DETAILS OF LEARNING ACTIVITIES AND TEACHING METHODS
Category Hours of study time Description
Scheduled Learning & Teaching activities 22 Lectures
Scheduled Learning & Teaching activities 4 Seminars
Scheduled Learning & Teaching activities 18 Practicals
Guided independent study 106 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 50 Written Exams 50 Practical Exams 0
DETAILS OF SUMMATIVE ASSESSMENT
Form of Assessment % of Credit Size of Assessment (e.g. duration/length) ILOs Assessed Feedback Method
Written exam (Closed Book) 50 2 hours - Summer Exam Period 1-7, 9-10 Exam Mark
Simulation Project 50 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-assessment
All Above Written Exam (100%) 1-7, 9-10 August Ref/Def Period
       
       

 

RE-ASSESSMENT NOTES
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

Basic reading:

 

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

 

Web based and Electronic Resources:

 

Other Resources:

 

Reading list for this module:

Type Author Title Edition Publisher Year ISBN Search
Set Taha, H,A Operations Research: An introduction 8th Prentice Hall 2011 978-0131360143 [Library]
Set Fishman, G S Principles of Discrete Event Simulation John Wiley & Sons 1979 000-0-471-04395-8 [Library]
Set Winston Operations Research: applications and algorithms 3rd 1994 0-534-92495-6 [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]
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 Tuesday 10 July 2018 LAST REVISION DATE Wednesday 27 February 2019
KEY WORDS SEARCH Management science; decisions; systems; operational research; computer modelling.