Management Science - 2019 entry
MODULE TITLE | Management Science | CREDIT VALUE | 15 |
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MODULE CODE | ECMM172 | MODULE CONVENER | Prof Voicu Ion Sucala (Coordinator) |
DURATION: TERM | 1 | 2 | 3 |
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DURATION: WEEKS | 11 weeks |
Number of Students Taking Module (anticipated) | 0 |
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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.
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.
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
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;
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.
- 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
Scheduled Learning & Teaching Activities | 44 | Guided Independent Study | 106 | Placement / Study Abroad | 0 |
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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 |
Form of Assessment | Size of Assessment (e.g. duration/length) | ILOs Assessed | Feedback Method |
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Coursework | 50 | Written Exams | 50 | Practical Exams | 0 |
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Form of Assessment | % of Credit | Size of Assessment (e.g. duration/length) | ILOs Assessed | Feedback Method |
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Written exam (Closed Book) | 50 | 2 hours - Summer Exam Period | 1-7, 9-10 | Exam Mark |
Simulation Project | 50 | 30 hours | All | Written |
Original Form of Assessment | Form of Re-assessment | ILOs Re-assessed | Time Scale for Re-assessment |
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All Above | Written Exam (100%) | 1-7, 9-10 | August Ref/Def Period |
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 |
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Set | Taha, H,A | Operations Research: An introduction | 8th | Prentice Hall | 2011 | 978-0131360143 |
Set | Fishman, G S | Principles of Discrete Event Simulation | John Wiley & Sons | 1979 | 000-0-471-04395-8 | |
Set | Winston | Operations Research: applications and algorithms | 3rd | 1994 | 0-534-92495-6 | |
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 |
CREDIT VALUE | 15 | ECTS VALUE | 7.5 |
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PRE-REQUISITE MODULES | None |
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CO-REQUISITE MODULES | None |
NQF LEVEL (FHEQ) | 7 | AVAILABLE AS DISTANCE LEARNING | No |
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ORIGIN DATE | Tuesday 10th July 2018 | LAST REVISION DATE | Wednesday 27th February 2019 |
KEY WORDS SEARCH | Management science; decisions; systems; operational research; computer modelling. |
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Please note that all modules are subject to change, please get in touch if you have any questions about this module.