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Computational algorithm for inventory model with a service level constraint, lead time demand with the mixture of distributions and controllable negative exponential backorder rate

机译:具有服务水平约束,提前期需求与分布混合以及可控制的负指数补缺率的库存模型的计算算法

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In this paper, let the backorder rate be a control variable to widen applications of Wu and Tsai's model [J.W. Wu, H.Y. Tsai, Mixture inventory model with back orders and lost sales for variable lead time demand with the mixtures of normal distribution, International Journal of Systems Science 32 (2001) 259-268.]. And, we also assume that the backorder rate is dependent on the length of lead time through the amount of shortages. In addition, we assume that the lead time demand follows a mixture of normal distributions, and then we relax the assumption about the form of the mixture of distributions for the lead time demand and apply the minimax distribution free procedure to solve the problem. Further, instead of having a stock-out term in the objective function, a service level constraint is added to the models. Finally, we develop two computational algorithms to find the optimal order quantity and the optimal lead time. Furthermore, two numerical examples are also given to illustrate the results. (c) 2005 Elsevier Inc. All rights reserved.
机译:在本文中,让延期交货率成为控制变量,以扩大Wu和Tsai模型的应用范围。吴慧妍Tsai,具有正向分布混合的可变提前期需求的具有滞后订单和销售损失的混合物库存模型,国际系统科学杂志32(2001)259-268。并且,我们还假设缺货率取决于短缺量导致的交货时间长短。此外,我们假设提前期需求遵循正态分布的混合,然后放宽关于提前期需求的混合分布形式的假设,并应用无极小值分布的程序来解决该问题。此外,代替在目标函数中具有缺货条件,将服务水平约束添加到模型中。最后,我们开发了两种计算算法来找到最佳订货量和最佳交货时间。此外,还给出了两个数值示例来说明结果。 (c)2005 Elsevier Inc.保留所有权利。

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