Title :
Coordination in Supply Chains With Uncertain Demand and Disruption Risks: Existence, Analysis, and Insights
Author :
Asian, Sobhan ; Xiaofeng Nie
Author_Institution :
Sch. of Mech. & Aerosp. Eng., Nanyang Technol. Univ., Singapore, Singapore
Abstract :
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.
Keywords :
Pareto optimisation; contracts; pricing; supply and demand; supply chains; Pareto improvement; backup supplier; buyer reservation amount; centralized problem; contract-based mitigation strategies; decentralized problem; global supply networks; long-term profits; market volatility; member reservation policies; optimal policies; optimization problems; option contract; perfectly reliable backup supplier; production capacity; production policies; short-term profits; supply and demand uncertainty; supply chain problem; supply disruptions; system efficiency maximization; underproduction policy; unreliable main supplier; voluntary compliance regime; whole-sale price contract; win-win coordination mechanism; Benchmark testing; Contracts; Mathematical model; Reliability; Supply chains; Uncertainty; Coordination; Pareto improvement; demand uncertainty; option contracts; supply disruptions;
Journal_Title :
Systems, Man, and Cybernetics: Systems, IEEE Transactions on
DOI :
10.1109/TSMC.2014.2313121