Modelling and Intelligent Optimisation of Production Scheduling in VCIM Systems

Description

This thesis reports on an innovative production-scheduling model for virtual computer-integrated manufacturing (VCIM) systems. It also describes a robust genetic algorithm for production scheduling in VCIM systems. The model, which is the most comprehensive of its kind to date, is not only capable of supporting collaborative shipment scheduling and handling multiple product orders simultaneously, but also helps cope with multiple objective functions under uncertainties. In turn, the genetic algorithm, characterised by an innovative algorithm structure, chromosome encoding, crossover and mutation, is capable of searching for optimal/suboptimal solutions to the complex optimisation problem in the VCIM production- scheduling model described. Lastly, the effectiveness of the proposed approach is verified in a comprehensive case study. Front Matter ....Pages i-xvii Introduction (Son Duy Dao)....Pages 1-7 Literature Review (Son Duy Dao)....Pages 9-33 An Innovative Production Scheduling Model for VCIM Systems (Son Duy Dao)....Pages 35-55 An Innovative GA for VCIM Production Scheduling Optimisation (Son Duy Dao)....Pages 57-87 Case Study (Son Duy Dao)....Pages 89-140 Conclusions and Recommendations for Future Work (Son Duy Dao)....Pages 141-145 Back Matter ....Pages 147-147