Extending robust industrial optimisation using simulation and reinforcement learning

Traditional optimisation methods are incapable of capturing the complexity of today's dynamic manufacturing systems. A new methodology, integrating simulation models and intelligent learning agents, was successfully applied to identify solutions to a fundamental scheduling problem. The robustness of this approach was then demonstrated through a series of real-world industrial applications.

Key success factors in real-time industrial system assurance

The thesis analyses the issues of implementing real-time software systems in industrial applications. The benefit is the development of the Integrated Mega Project Development Model, to improve the effectiveness of planning and timely delivery of software, the quality of the delivered software and reducing problems associated with integrating software systems.

Improved synthesis of commercially valuable opiates : development of reactions for industrial applications

Describes the synthesis of thebaine and noroxymorphone - key intermediates in the synthesis of opiate drugs. The design and optimisation of these synthetic pathways were developed keeping in mind the concerns of industry.

Industrial and economic development : a holistic study of Brunei Darussalam

The primary objective of this research is to provide a framework for industrial and economic development with respect to Brunei Darussalam. The study is both novel and unique as it is potentially the most comprehensive holistic study performed to date with respect to industrial and economic development in Brunei.