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Decentralized decision‐making in supply chain management is quite common, and often inevitable, due to the magnitude of the chain, its geographical dispersion, and the number of agents that play a role in it. But, decentralized decision‐making is known to result in inefficient Nash equilibrium outcomes, and optimal outcomes that maximize the sum of the utilities of all agents need not be Nash equilibria. In this paper we demonstrate through several examples of supply chain models how linear reward/penalty schemes can be implemented so that a given optimal solution becomes a Nash equilibrium. The examples represent both vertical and horizontal coordination issues. The techniques we employ build on a general framework for the use of linear reward/penalty schemes to induce stability in given optimal solutions and should be useful to other multi‐agent operations management settings. © 2005 Wiley Periodicals, Inc. Naval Research Logistics, 2006 相似文献
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建立战损舰艇拖带方案的优化决策模型 总被引:1,自引:0,他引:1
对战损舰艇拖带方案的优化决策作了一些探讨,包括优化决策理论的选择,影响舰艇拖带安全的相关指标及指标权重的计算方法,并根据多目标决策理论建立了衡量拖带方案优劣的综合指标,从而建立了战损舰艇拖带的方案的优化决策模型,并进行了实例验证,证明了该模型可行性较好,并已编程实现。该决策模型能根据实际情况选定更多的供决策的相关指标,进行扩展,对实施战损舰艇拖带方案的优化选择有一定的参考价值。 相似文献
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