Introductory description

This is an elective module designed specifically for non-WBS students. To find detailed availability and to apply for this module, log in to my.wbs.ac.uk using your normal IT login details and apply via the my.wbs module application system. Once you’ve secured a place on my.wbs you should apply via your home department’s usual process, which usually takes place via eVision. Note that you do not require the module leader’s permission to study a WBS module, so please do not contact them to request it.

Module web page

Module aims

Outline syllabus

This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.

Introduction to Operational Research
Introduction to Linear Programming
Introduction to basic algorithms for solving linear programming problems
Practical computer work using a Linear Programming computer package
Formulation methods and Interpretation of solutions
Distribution / transportation models
Introduction to Game Theory

Learning outcomes

By the end of the module, students should be able to:

• Recognise, formulate and solve business optimisation problems.
• List and challenge the assumptions underpinning each of the key models studied.
• Reflect critically on the limitations of each of the models studied.
• Report on the meaning of the optimal solutions in a manner suited to a business context.

Indicative reading list

D. R. Anderson, D. J. Sweeney, T. A. Williams, J. D. Camm and J. J. Cochran (2015). An Introduction to Management Science: Quantitative Approaches to Decision Making. Cengage Learning.

Bynum, M.L. (2022) Pyomo - optimization modeling in Python. Third edition. Cham, Switzerland: Springer.

Interdisciplinary

Core module for key interdisciplinary degree (MORSE).

Subject specific skills

Analytically solve linear optimisation problems.

Transferable skills

Model a business optimisation problem in a suitable mathematical form and interpret optimal mathematical solutions in the business context.