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MRP rescheduling heuristics with capacity extension under deterministic demand

机译:MRP在确定性需求下通过容量扩展重新安排启发式方法

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The multi-stage, multi-machine capacitated lot-sizing problem (MSMMCLSP) consists of scheduling the production of one product in a multi-machine production system with a multi-stage structure. Machine capacity is reserved for the production of the end item but can be extended by working overtime (overtime capacity). When a lot size is positive in a specific period, it can be loaded on all machines without exceeding the sum of the regular and overtime capacity limits. In previous research [Rong, C., Takahashi, K., & Morikawa, K. (2005). A new heuristic method for capacitated lot-sizing in multi-stage, multi-machine production systems. Journal of Japan Industrial Management Association, 56(5), in press], we have proposed a rescheduling heuristic to determine a feasible and sufficient solution for the MSMMCLSP with only regular capacity limits, in comparison with Franca et al.'s heuristic method. However, the mechanism of rescheduling in regular time has not optimum (or near optimum) performance for the MSMMCLSP with capacity extension. Preliminary examination revealed that overtime production also has situation-dependent advantages and disadvantages with the combination of various planning parameters. This study, therefore, develops an integrated heuristic that guarantees an optimal solution for general MSMMCLSP by combining the rescheduling mechanism and overtime production. We also evaluate the effectiveness of the proposed heuristics by using computational tests with various planning parameters.
机译:多阶段,多机器的批量生产问题(MSMMCLSP)包括在具有多阶段结构的多机器生产系统中安排一种产品的生产计划。机器的生产能力是为生产最终产品保留的,但可以通过加班来延长(生产能力)。如果在特定时期内批量为正,则可以将其加载到所有机器上,而不会超过常规容量和加班容量限制的总和。在以前的研究中[Rong,C.,Takahashi,K.和Morikawa,K.(2005)。一种用于多阶段,多机器生产系统中的批量生产的启发式新方法。 [日本工业管理协会杂志,第56(5)页,正在出版],我们提出了一种重新计划的启发式方法,与Franca等人的启发式方法相比,它为仅具有规则容量限制的MSMMCLSP确定了可行且充分的解决方案。但是,对于具有容量扩展的MSMMCLSP,定期重新安排调度的机制没有最佳(或接近最佳)性能。初步检查显示,结合各种计划参数,加班生产还具有与情况有关的优缺点。因此,本研究开发了一种综合试探法,通过结合重新调度机制和加班生产,可以保证为通用MSMMCLSP提供最佳解决方案。我们还通过使用具有各种计划参数的计算测试来评估所提出的启发式方法的有效性。

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