分散转运协调中的转运价格与成对稳定性问题

Behzad Hezarkhani, W. Kubiak
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引用次数: 6

摘要

分散转运问题是一个两阶段的决策问题,公司首先在预期随机需求的情况下选择各自的生产水平,在需求实现后,通过转运将剩余部分集中起来。如果分散系统中的所有决策变量(即生产水平和转运模式)与集中系统中的决策变量相同,则可以实现协调。本文从转运价格的角度出发,研究转运价格的协调问题。基于Anupindi等人提出的协调分配规则,提出了一种计算转运价格的方法。转运价格确定后,各公司可根据个人喜好自由调整剩余价格。我们利用成对稳定性的概念来捕捉相应匹配过程的动力学。本文的主要结果表明,在导出的转运价格条件下,最优转运模式总是成对稳定的,即不存在通过单方面偏离最优转运模式而获得共同收益的公司对。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Transshipment prices and pair-wise stability in coordinating the decentralized transshipment problem
The decentralized transshipment problem is a two-stage decision making problem where the companies first choose their individual production levels in anticipation of random demands and after demand realizations they pool residuals via transshipment. The coordination will be achieved if at optimality all the decision variables, i.e. production levels and transshipment patterns, in the decentralized system are the same as those of centralized system. In this paper, we study the coordination via transshipment prices. We propose a procedure for deriving the transshipment prices based on the coordinating allocation rule introduced by Anupindi et al. [1]. With the transshipment prices being set, the companies are free to match their residuals based on their individual preferences. We draw upon the concept of pair-wise stability to capture the dynamics of corresponding matching process. As the main result of this paper, we show that with the derived transshipment prices, the optimum transshipment patterns are always pair-wise stable, i.e. there are no pairs of companies that can be jointly better off by unilaterally deviating from the optimum transshipment patterns.
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