Study on Improved GPGP-Based Multi-agent Semiconductor Fabrication Line Dynamic Scheduling Method

A semiconductor fabrication line dynamic scheduling(SFLDS) model combining MAS(Multi-Agent System) with multi-intelligence algorithms is presented in this paper The proposed model is based on the improved generalized partial global planning(GPGP) and utilizes the advantages of static intelligence algorithms with dynamic MAS A scheduling process from 'macro-schedulring g to mono-scheduling to repeated- scheduling' is designed for large-scale complex problems to enable to implement an effective and widely applicable prototype system for SFLDS Under this scheme, a set of limitation and improvement of GPGP about its structure are proposed The improved GPGP and us model are simulated by using simulation software eM-plant A case study is provided to examine the practicability. flexibility and robustness of the proposed scheduling approach