ENGM027 | 2020 | University of Exeter

MODULE TITLE	Engineering Management Science	CREDIT VALUE	30
MODULE CODE	ENGM027	MODULE CONVENER	Prof Voicu Ion Sucala (Coordinator)

DURATION: TERM	1	2	3
DURATION: WEEKS	11	11

Number of Students Taking Module (anticipated)	150

DESCRIPTION - summary of the module content

This module aims to develop your skills in industrial engineering and management science, by 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 project management, operations and supply chain management problems. The knowledge you gain on this module will help you to understand and manage a range of associated courses, especially in manufacturing and supply chain management areas.

This module aims to deliver an in-depth understanding of modern project management, management science, and operations and supply chain modelling concepts, methods, and techniques including: operations research; industrial/service systems modelling and simulation, and advanced topics in management science and Industry 4.0 technologies.

During this module you will be trained to use specific software tools – Excel Solver, MS Project and AnyLogic.

You will have hands-on experience within Exeter Digital Enterprise System lab using the Industry 4.0 demonstrator and Connected Curriculum software.

Pre-requisite and co-requisite modules: NO

The module is suitable for non-specialist students.

The module is recommended for interdisciplinary pathways

AIMS - intentions of the module

This module aims to deliver an in-depth understanding of modern project management, management science, and operations and supply chain modelling concepts, methods, and techniques including: planning techniques, operations research, industrial/service systems modelling and simulation, and advanced topics in management science and Industry 4.0 technologies.

The students will be trained to use specific software tools – Excel Solver, MS Project and AnyLogic. They will also have hands-on experience within Exeter Digital Enterprise System lab, using the Industry 4.0 demonstrator and Connected Curriculum software.

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: SM1fl, SM2fl, SM3fl, EA1fl, EA3fl, D1fl, D2fl, D3fl, ET1fl, ET2fl, ET3fl, ET4fl, ET6fl, EP2fl, EP3fl, EP4fl, 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, SM2fl, SM3fl, EA1fl, EA3fl

Select and apply modern project management concepts and theories to concrete industrial situations;
Select and apply modern management science concepts, theories and mathematical models to concrete industrial situations;
Understand modern methods, tools and techniques of project management;
Use learnt project management science tools and techniques to solve practical problems;

Discipline Specific Skills and Knowledge: D1fl, D2fl, D3fl, ET1fl, ET2fl, ET3fl, ET4fl, ET6fl, EP2fl, EP3fl

Apply generic engineering management techniques and skills to different industrial/commercial situations;
Demonstrate advanced problem-solving skills and adapt such skills to solving increasing complex industrial problems;
Analyse business needs and identify suitable approaches to meet project requirements;
Appreciate industrial situations that can be improved through simulation, and construct simulation models to analyse and solve the problems;

Personal and Key Transferable/ Employment Skills and Knowledge: EP4fl, G1fl – G4fl

Demonstrate project management skills in terms of setting targets, planning and monitoring the progress in completing the assignments;
Illustrate team work skills, initiative and responsibility through group work and problem solving;
Demonstrate skills in making presentations and communicate work to technical and non-technical audiences;
Exhibit advanced independent learning skills.

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

- Introduction in project management, history of project management;

- Project management functions, processes and phases;

- Critical path analysis;

- Operation Research context, definitions, problems 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 AnyLogic software; results analysis;

- Advanced topics in management science and Industry 4.0 technologies.

LEARNING AND TEACHING

LEARNING ACTIVITIES AND TEACHING METHODS (given in hours of study time)

Scheduled Learning & Teaching Activities	66	Guided Independent Study	234	Placement / Study Abroad

DETAILS OF LEARNING ACTIVITIES AND TEACHING METHODS

Category	Hours of study time	Description
Scheduled Learning & Teaching activities	22	Lectures
Scheduled Learning & Teaching activities	22	Computer based practicals
Scheduled Learning & Teaching activities	22	Laboratory sessions
Guided independent study	234	Lecture & assessment preparation; wider reading

ASSESSMENT

FORMATIVE ASSESSMENT - for feedback and development purposes; does not count towards module grade

None.

SUMMATIVE ASSESSMENT (% of credit)

Coursework	100	Written Exams	0	Practical Exams	0

DETAILS OF SUMMATIVE ASSESSMENT

Form of Assessment	% of credit	Size of the assessment e.g. duration/length	ILOs assessed	Feedback method
Project planning online quiz	20%	One hour	1, 3, 4	Automatic feedback
Modelling online quiz	20%	One hour	2, 5	Automatic feedback
Coursework – Group project report	60%	2000 words	All	Written feedback

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 of above	Written exam	All	August

RE-ASSESSMENT NOTES

Re-assessed by written exam (referral or deferral).

For referrals a mark of 50% being awarded if the examination is passed. For deferrals, candidates will be awarded the full examination 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

Reading list for this module:

Type	Author	Title	Edition	Publisher	Year	ISBN
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	David R. Anderson and Dennis J. Sweeney	An Introduction to Management Science: Quantitative Approaches to Decision Making	1st	Cengage Learning	2008	13: 978-184480595
Set	Project Management Institute	A Guide to the Project Management Body of Knowledge (PMBOK Guide)	5th	Project Management Institute Inc.	2013	9781935589679
Set	H. Maylor	Project Management	3rd	Prentice Hall	2005	0273704311
Set	J. R. Meredith	Project Management: A Managerial Approach		John Wiley & Sons	2000	0471298298
Set	P. W.G. Morris, J. K. Pinto and J. Söderlund	The Oxford Handbook of Project Management		Oxford University Press	2011	9780199563142

CREDIT VALUE	30	ECTS VALUE

PRE-REQUISITE MODULES	None
CO-REQUISITE MODULES	None

NQF LEVEL (FHEQ)		AVAILABLE AS DISTANCE LEARNING	No
ORIGIN DATE	Friday 3rd April 2020	LAST REVISION DATE	Tuesday 14th July 2020

KEY WORDS SEARCH	None Defined

Engineering Management Science - 2020 entry