供应链分散化设计的格罗夫斯机制方法

Dinesh Garg, Y. Narahari, Earnest Foster, Devadatta M. Kulkarni, J. Tew
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引用次数: 10

摘要

本文在博弈论框架下对供应链设计中出现的一个一般性优化问题进行建模,并采用机制设计方法将其作为一个分散问题加以解决。我们表明,供应链网络中的实体可以自然地建模为自私、理性和智能的代理,对最大化某些收益感兴趣。这使我们能够定义一个供应链设计游戏,我们展示了众所周知的格罗夫斯机制可以用来解决潜在的设计优化问题。我们以典型汽车供应链的代表性三阶段分配过程来说明我们的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A groves mechanism approach to decentralized design of supply chains
In this paper, a generic optimization problem arising in supply chain design is modeled in a game theoretic framework and solved as a decentralized problem using a mechanism design approach. We show that the entities in a supply chain network can be naturally modeled as selfish, rational, and intelligent agents interested in maximizing certain payoffs. This enables us to define a supply chain design game and we show that the well known Groves mechanisms can be used to solve the underlying design optimization problem. We illustrate our approach with a representative three stage distribution process of a typical automotive supply chain.
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