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Hybrid decomposition heuristics for solving large-scale scheduling problems in semiconductor wafer fabrication 总被引:3,自引:0,他引:3
Most shop-floor scheduling policies used in practice rely on dispatching, making use of only local information at individual
workcenters. However, in semiconductor manufacturing environments, we have access to real-time shop-floor status information
for the entire facility. In these complex facilities, there would appear to be significant potential for improved schedules
by considering global shop information and using optimization-based heuristics. To this end, we propose a rolling horizon
(RH) heuristic that decomposes the shop into smaller subproblems that can be solved sequentially over time using a workcenter-based
decomposition heuristic. We develop test instances for evaluating our heuristic using a simulation model of an industrial
facility. The results demonstrate that the proposed heuristic yields better schedules than the dispatching rules in the vast
majority of test instances with reasonable computational effort. 相似文献