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首页> 外文期刊>International Journal for Engineering Modelling >Incorporating machine reliability issue and backlogging into the EMQ model - Part II: Random breakdown occurring in inventory piling time
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Incorporating machine reliability issue and backlogging into the EMQ model - Part II: Random breakdown occurring in inventory piling time

机译:将机器可靠性问题和积压的问题纳入EMQ模型-第II部分:库存堆积时间中发生的随机故障

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This paper presents the second part of a research which is concerned with incorporating machine reliability issues and backlogging into the economic manufacturing quantity (EMQ) model. It may be noted that in a production system when back-ordering is permitted, a random machine failure can take place in either backorder filling stage or in on-hand inventory piling time. The first part of the research investigates the effect of a machine failure occurring in backorder filling stage on the optimal lot-size; while this paper (the second part of the research) studies the effect of random breakdown happening in inventory piling time on the optimal batch size for such an imperfect EMQ model. The objective is to determine the optimal replenishment lot-size that minimizes the overall production-inventory costs. Mathematical modelling is used and the renewal reward theorem is employed to cope with the variable cycle length. Hessian matrix equations are utilized to prove convexity of the cost function. Then, the optimal lot size for such a real-life imperfect manufacturing system is derived. Practitioners and managers in the field can adopt these replenishment policies to establish their own robust production plan accordingly.
机译:本文介绍了研究的第二部分,该研究涉及将机器可靠性问题和积压到经济制造数量(EMQ)模型中。可能要注意的是,在生产系统中,当允许补货时,在补货阶段或现有库存堆积时间中都可能发生随机的机器故障。研究的第一部分研究了在补货阶段出现的机器故障对最佳批量的影响。而本文(研究的第二部分)研究了这种不完善的EMQ模型在库存堆积时间中随机击穿对最佳批次大小的影响。目的是确定使总生产库存成本最小化的最佳补货批量。使用数学建模,并采用更新报酬定理来应对可变的周期长度。利用Hessian矩阵方程来证明成本函数的凸性。然后,得出用于这种现实生活中不完美制造系统的最佳批量。现场的从业人员和管理人员可以采用这些补货政策来相应地建立自己的稳健的生产计划。

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