Title :
A hybrid ant colony optimization method for scheduling batch processing machine in the semiconductor manufacturing
Author :
Guo, Chengtao ; Jiang, Zhibin ; Hu, Hongtao
Author_Institution :
Dept. of Ind. Eng. & Logistics Manage., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
This paper proposes a hybrid ACO approach to minimize weighted tardiness for a batch-processing machine in diffusion area with incompatible jobs and dynamic arrival time. The method combines ACO algorithm and NACH (Next Arrival Control Heuristic) method, and also puts the batching and scheduling process together. The proposed method is validated and verified by extensive simulation experiments. The simulation results show that the proposed method is superior to the MCR (minimum cost rate) rule with smaller TWT.
Keywords :
batch processing (industrial); optimisation; scheduling; semiconductor industry; ACO algorithm; batch processing machine; hybrid ant colony optimization; minimum cost rate; next arrival control heuristic method; scheduling; semiconductor manufacturing; Batch production systems; Dynamic scheduling; Heuristic algorithms; Job shop scheduling; Optimal scheduling; Simulation; Ant Colony Optimization (ACO); Batch Processing Machine; Scheduling; Semiconductor Manufacturing;
Conference_Titel :
Industrial Engineering and Engineering Management (IEEM), 2010 IEEE International Conference on
Conference_Location :
Macao
Print_ISBN :
978-1-4244-8501-7
Electronic_ISBN :
2157-3611
DOI :
10.1109/IEEM.2010.5674588