Effective manufacturing control requires careful management of inventory, work in progress and customer service. Modelling of these complex probabilistic systems requires simulation although this excludes analytical approaches for the determination of optimal control policy. Genetic algorithms were used to address this problem and were shown to generate high quality solutions with constructive implications for industry
Notes
Submitted to the School of Engineering and Technology of the Faculty of Science and Technology, Deakin University
