e-journal
Intelligent model of scheduling RFACs--Part II: application
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-based mathematical model with simulation software tools. In this chapter, a hypothetical case study of RFACs is presented to prove the effectiveness of the developed methodology, and then compare the results that are obtained by the new methodology with the common scheduling rules. Simulation results show that the performance of the proposed methodology outperforms the most popular scheduling rules from literature.
Key words: Robotic cells, scheduling, fuzzy logic, simulation
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