Academic and Industrial Context

Making a decision on strategic investments is not easy, as not all investment would turn out to be successful. Given a fixed amount of resource, and a wide range of promising new processes, methods, and systems, how could a company decide in which to invest? Knowledge-based systems have long been widely applied in supporting complex decision analysis. This research utilises a hybrid knowledge-based system of Fuzzy Logic, Rule-Based Reasoning, and Case-Based Reasoning to support managers in making optimal strategic investment decisions.

Aims and Objectives

This research aims to develop and test a resource allocation and analysis tool for managing strategic investments. The specific objectives of the research are to:

• Develop a knowledge-based system for supporting investment decisions
• Test the developed knowledge-based system and tool in a range of companies

Project Flow Chart

The research will be conducted in collaboration with Professor Chee Peng Lim of the University Science Malaysia.

Deliverables

The principal deliverables of the project, derived from a series of case studies, will be:

• A knowledge-based system for resource allocation and analysis
• A practitioner deliverable in the form of a workbook describing in detail the developed tool and process, and how it should be applied and operated in practice

Industrial Collaborator/Sponsor

GlaxoSmithKline (GSK)

Researchers

Kim Hua Tan

Chee Peng Lim

Ken Platts