This chapter is a continuation of the chapter titled "Intelligent Model of Scheduling RFACs--Part I: Methodology and Strategy" with the emphasis on application of the developed methodology to the scheduling of the RFACs. Based on the methodology and strategy presented in Part I, a new model for multiobjective scheduling problems in RFACs was developed. This model was based on combining a fuzzy-…
Production scheduling of advanced manufacturing systems has attracted significant attention of both researchers and industrial practitioners in recent years. Due to the complexity in these systems, the generation of production schedules requires an intelligent technique. Many artificial intelligence techniques such as fuzzy logic, genetic algorithms and neural networks have been successfully ap…
Abstract. The rapid advances in technology and improved living standard of the society necessitate abundant use of fossil fuels which poses two major challenges to any nation. One is fast depletion of fossil fuel resources; the other is environmental pollution. The porous medium combustion (PMC) has proved to be one of the feasible options to tackle the aforesaid problems to a remarkable ex…