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Entropic Order Quantity (enoq) Model For Deteriorating Items

机译:变质物品的熵订单数量(enoq)模型

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Jaber et al. [M.Y. Jaber, R.Y. Nuwayhid, M.A. Rosen, Price-driven economic order systems from a thermodynamic point of view, Int. J. Prod. Res. 42 (24) (2004) 5167-5184] suggested that it might be possible to improve production systems performance by applying the first and second laws of thermodynamics to reduce system entropy (or disorder). They then used these laws to modify the economic order quantity (EOQ) model to derive an equivalent entropic order quantity (EnOQ). The results suggested that larger quantities should be ordered than is suggested by the classical EOQ model.rnThis paper extends the work of Jaber et al. (2004) to consider items which are subject to deterioration. Such a situation increases entropy, and so intuitively one would expect deterioration to reduce the order quantity because smaller order quantities will be used up more quickly and are less likely to deteriorate. A mathematical model is developed that determines batch sizes for deteriorating items while minimising entropy. The numerical results obtained by using the model are then discussed.
机译:Jaber等。 [M.Y. Jaber,R.Y。马萨诸塞州罗森市的Nuwayhid,从热力学角度看价格驱动的经济订单系统,国际J. Prod。 Res。 42(24)(2004)5167-5184]建议通过应用热力学第一定律和第二定律来减少系统的熵(或无序),可能会改善生产系统的性能。然后,他们使用这些法律修改了经济订单数量(EOQ)模型,以得出等效的熵订单数量(EnOQ)。结果表明,应订购的数量要比经典EOQ模型建议的数量大。本文扩展了Jaber等人的工作。 (2004年)考虑恶化的项目。这种情况增加了熵,因此直觉上人们会期望劣化以减少订单数量,因为较小的订单数量会更快用完并且不太可能劣化。建立了数学模型,该模型可以确定变质物品的批量大小,同时最大程度地减少熵。然后讨论了使用该模型获得的数值结果。

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