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Learning-based adaptive dispatching method for batch processing machines
2013
2013 Winter Simulations Conference (WSC)
This study aims to solve the scheduling problem of batch processing machines (BPMs) in semiconductor manufacturing by using a learning-based adaptive dispatching method (LBADM). First, an adaptive ant system algorithm (AAS) is proposed to solve the scheduling problem of BPMs according to their characteristics. Then AAS generates a lot of solutions for the jobs with different distribution of arrival time and due date. These solutions are taken as learning samples. Second, we analyze influencing
doi:10.1109/wsc.2013.6721735
dblp:conf/wsc/ChenXLC13
fatcat:xc4i5iqnwna7de3fjvytby2goy