Intelligent Model of Scheduling Rfacs - Part I: Methodology and Strategy

Abstract

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 applied to the scheduling of advanced manufacturing systems. One such system is robotic flexible assembly cells (RFACs). Few studies have been done on the problem of scheduling RFACs. The major limitation is that these studies are limited to the assembly of only one product type. The objective of this chapter is to propose a new intelligent model of scheduling RFACs in a multi-product assembly environment, using fuzzy logic.