Introductory description

At the end of the module students will be able to recognise, formulate and solve practical resource allocation and planning problems. Module members will also be able to identify the limitations of the approaches. This module serves as a prerequisite for further modules in integer and non-linear programming, which are available to students in their second and final years.

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

• WL Winston, Operations Research: Applications and Algorithms, Thompson. (Any edition)
• Hillier and G. Lieberman, Introduction to Operations Research. (Any edition)
• Anderson, Sweeney and Williams, An Introduction to Management Science, West. (Any edition)
• Taylor, Introduction to Management Science, Prentice Hall. (Any edition)
• Taha, Operations Research: An introduction. (Any edition)

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.