4.7 Article

Coordination in Supply Chains With Uncertain Demand and Disruption Risks: Existence, Analysis, and Insights

期刊

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSMC.2014.2313121

关键词

Coordination; demand uncertainty; option contracts; Pareto improvement; supply disruptions

资金

  1. Nanyang Technological University [M4080183]
  2. Ministry of Education of Singapore [M4011075]

向作者/读者索取更多资源

Many companies with global supply networks suffer from market volatility and supply disruptions, which adversely affect both their short and long-term profits. Although using mechanisms, such as supply contracts, is useful to mitigate uncertainty, the inherent inefficiency of decentralization is a critical issue that needs to be considered at early design stages. This paper studies a supply chain problem where a buyer receives a product from a cheap but unreliable main supplier and signs an option contract with a perfectly reliable backup supplier to share supply and demand uncertainty. To build efficiency benchmark models, we first consider a centralized problem and then explore a decentralized problem where there is only a wholesale price contract between the buyer and the backup supplier. Considering the option contract, we reconstruct optimization problems and sequentially characterize the members' reservation and production policies under a voluntary compliance regime. Subsequently, we establish a win-win coordination mechanism that maximizes system efficiency and meanwhile is desirable from both contract members' perspectives. Results reveal that the proposed mechanism leads the backup supplier to choose a lower level of production capacity than the buyer's reservation amount i.e., an underproduction policy). We realize that the existing mismatch between the members' optimal policies is caused by the buyer's phantom ordering. This paper sheds light on the effectiveness of contract-based mitigation strategies that enable firms to ensure responsive backup capacity under demand uncertainty and supply disruptions.

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