Intelligent modeling of scheduling robotic flexible assembly cells using fuzzy logic

Abstract

This paper is concerned with scheduling robotic flexible assembly cells (RFACs) using fuzzy logic (FL) technique. A new scheduling rule is developed and evaluated called fuzzy sequencing rule (FSR). A simulation program is used to examine the performance of the existing scheduling rules and the proposed rule with respect to multiple performance measures. Four performance measures considered simultaneously are: maximum of tardiness, mean tardiness, percentage of tardy products, and percentage of improvement. A case study is presented to prove the efficiency of the proposed rule (FSR). The simulation results indicate that FSR gives superior performance compared with existing scheduling rules.