面向多供应不确定性装配商的最优订货决策

Qingkai Ji
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引用次数: 1

摘要

研究了将两个部件组装成最终产品的装配商的最优订货决策问题。每个组件都面临一种供应不确定性——标准组件具有不确定的生产能力,非标准组件具有随机的生产成品率。为了满足最终产品的确定性需求,实现了供给不确定性前利润最大化的企业订单分量。我们描述了最优排序决策,发现:(a)组件l的订货量应该恰好是组件2订货量的一个固定分数,这个分数取决于组件l的订购成本和组件2的随机产量,而不取决于组件l的不确定容量;(b)标准组件的不确定容量的增加导致两个组件的最优订货量增加,但令人惊讶的是,非标准组分随机产率的增加并不一定导致两种组分最优订货量的单调变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal ordering decision for assemblers facing multiple supply uncertainties
We study the optimal ordering decision for an assembler who assemble two components into a final product. Each component faces one type of supply uncertainty---the standard component has uncertain production capacity, the non-standard component has random production yield. The profit-maximizing firm orders components before supply uncertainties are realized to meet a deterministic demand for the final product. We characterize the optimal ordering decision and find that: (a) component l's order amount should be exactly a fixed fraction of component 2's order amount, the fraction depends on component l's ordering cost and component 2's random yield, but not on component l's uncertain capacity, (b) an increase of the standard component's uncertain capacity leads to an increase in both components' optimal ordering amounts, but surprisingly, an increase of the non-standard component's random yield does not necessarily lead to a monotone change in both components' optimal ordering amounts.
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