Response Surface Methodology: Process and Product in Optimization Using Designed Experiments
Response Surface Methodology: Process and Product in Optimization Using Designed Experiments
Fuzzy Technologies and Their Advantages in Commercial Advanced Planning Systems (APS)
ICAIS '02 Proceedings of the 2002 IEEE International Conference on Artificial Intelligence Systems (ICAIS'02)
From differential equations to PDC controller design via numerical transformation
Computers in Industry
Stable indirect adaptive control based on discrete-time T--S fuzzy model
Fuzzy Sets and Systems
A parametric fuzzy logic approach to dynamic part routing under full routing flexibility
Computers and Industrial Engineering
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A survey of fuzzy logic monitoring and control utilisation in medicine
Artificial Intelligence in Medicine
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The automation of interbay systems in 300mm semiconductor wafer fabrication systems (SWFSs) is complex due to the dynamic, stochastic and mass transportation demands, transportation deadlocks, and vehicle blockages. An adaptive multi-parameter based (AMP) dispatching policy is proposed to obtain better performance of the interbay material handling systems and SWFSs. The system parameters, including vehicle's distance, lot's due date, lot's waiting time, and lot's origin-destination buffer status parameters are simultaneously considered, and the multi-parameter's weight coefficients are adjusted adaptively by Takagi-Sugeno fuzzy logic method. With experimental data from an interbay system of 300mm SWFSs and running simulation experiments, it is demonstrated that the proposed approach has better performance in terms of cycle time, throughput, due-date satisfaction rate, and vehicle utilization compared to conventional single- and multi-attribute dispatching methodologies.