Intelligent modeling of scheduling robotic flexible assembly cells using fuzzy logic

Authors:
Khalid Abd;Kazem Abhary;Rome Marian
Affiliations:
School of Advanced Manufacturing and Mechanical Engineering, University of South Australia, South Australia, Australia;School of Advanced Manufacturing and Mechanical Engineering, University of South Australia, South Australia, Australia;School of Advanced Manufacturing and Mechanical Engineering, University of South Australia, South Australia, Australia
Venue:
IMMURO'12 Proceedings of the 11th WSEAS international conference on Instrumentation, Measurement, Circuits and Systems, and Proceedings of the 12th WSEAS international conference on Robotics, Control and Manufacturing Technology, and Proceedings of the 12th WSEAS international conference on Multimedia Systems & Signal Processing
Year:
2012

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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.