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Multi-period cell loading and job sequencing in a cellular manufacturing system

机译:蜂窝制造系统中的多周期单元加载和作业排序

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摘要

In this paper, a multi-period cell loading problem is addressed, where the objectives are to minimise the number of tardy jobs (n_T) in a multi-period planning horizon and optimise the scheduling of tardy jobs. Three cell loading and job scheduling strategies are proposed and tested with two newly developed mixed integer programming models. Additionally, three types of due dates (tight, medium and loose) and three different demand levels were considered. Finally, two tardy job assignment methods were proposed to observe the impact on n_T. Case problems were solved based on minimising n_T, T_(max) and total tardiness (TT) objectives and cost sensitivity analysis was performed. Results indicated that, the first strategy, (early start allowance and tardy job assignment after each period) performed better in terms of n_T. For the secondary objectives, tradeoffs were observed among different strategies depending on the type of due date, demand level and tardy job assignment method.
机译:在本文中,解决了一个多周期的单元加载问题,其目标是在多周期的计划范围内最小化迟到的作业(n_T)的数量并优化迟到的作业的调度。提出了三种单元加载和作业调度策略,并使用两个新开发的混合整数规划模型对其进行了测试。此外,还考虑了三种类型的到期日(紧,中,宽松)和三种不同的需求水平。最后,提出了两种迟到的工作分配方法,以观察其对n_T的影响。基于最小化n_T,T_(max)和总拖延(TT)目标解决了案例问题,并进行了成本敏感性分析。结果表明,第一个策略(每个时期后的早期起步津贴和迟到的工作分配)在n_T方面表现更好。对于次要目标,根据到期日类型,需求水平和迟到的工作分配方法,在不同策略之间观察到了取舍。

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