资源竞争下分散供应链的产能保留:博弈论方法

Chao Meng, Y. Son, Benyong Hu
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引用次数: 2

摘要

提出了一种单供应商多制造商供应链的产能预留机制。制造商首先向供应商确定应预留的生产能力,然后在一个实现时间窗口内实现预留并下相应的补充订单。供应商根据已收到的订单建立正常生产能力,并根据超出正常生产能力的订单建立应急生产能力。为此,我们建立了一个分析模型来量化制造商的最优产能保留数量和实现时间,以及供应商的最优常规产能。在常规生产能力竞争的情况下,建立了元胞自动机(CA)仿真模型,通过对制造商进行n人博弈建模并确定收敛条件,解决了预约实现时间的解析性问题。实验结果表明,所提出的产能保留机制在分散供应链下优于传统的批发价格契约。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Capacity reservation for a decentralized supply chain under resource competition: A game theoretic approach
This paper proposes a capacity reservation mechanism for a single-supplier and multi-manufacturer supply chain. The manufacturers first determine the production capacity they should reserve from the supplier, and then realize their reservations and place corresponding supplementary orders within a realization time window. The supplier builds its regular production capacity according to the reservations that have been received, and emergency production capacity for orders that exceed its regular capacity. Towards this end, we develop an analytical model to quantify the manufacturers' optimal capacity reservation quantities and realization times, as well as the supplier's optimal regular capacity. Given regular production capacity competition, a Cellular Automata (CA) simulation model is developed to resolve the analytical intractability of reservation realization time by modeling the manufacturers in an N-person game and identifying the convergence condition. Experiment results indicate that the proposed capacity reservation mechanism outperforms the traditional wholesale price contract in a decentralized supply chain.
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