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An alternative optimal solution technique for a single-vendor single-buyer integrated production inventory model

机译:单供应商单购买者集成生产库存模型的替代最优解决方案技术

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For the single-vendor single-buyer integrated production inventory problem, the lot is transferred by some researchers in shipments of equal and/or unequal sizes. For a given total number (n) of shipments, the minimal number (m) of unequal sized shipments is selected satisfying a constraint. Due to the complex dependence of m on n, there remained a conjecture about the convexity of the total cost (C) in n. Consequently, for a known n, lower and upper bounds on the minimal total cost are imposed and this cost is obtained through a search over n based on the convexity of C in the lot size (Q). Here it is demonstrated that m thus selected might not be the minimal and a method for obtaining the minimal m is developed. A formula for the minimal n based on the convexity of C in n (given m and Q) is also derived. Integrating the ways of finding the minimal m and n, along with the convexity of C in Q, an alternative minimal cost solution technique is presented. Finally, a comparative theoretical analysis of the methods along with numerical illustration is carried out to show the efficiency of our method.
机译:对于单供应商单买方的集成生产库存问题,一些研究人员以相同和/或不相等大小的货物转移了批次。对于给定的总运输数量(n),选择满足约束条件的最小数量(m)不等大小的运输。由于m对n的依赖关系复杂,因此对n中总成本(C)的凸性仍存在猜想。因此,对于已知的n,对最小总成本强加了上限和下限,并且该成本是通过基于C在批次大小(Q)中的凸度对n进行搜索而获得的。这里证明了这样选择的m可能不是最小的,并且开发了用于获得最小的m的方法。还推导了基于n(给定m和Q)中C的凸性的最小n的公式。结合寻找最小m和n的方法,以及C在Q中的凸性,提出了一种替代的最小成本解决方案技术。最后,对该方法进行了比较理论分析并进行了数值说明,以证明我们方法的有效性。

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