DocumentCode
91867
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
Volume
44
Issue
9
fYear
2014
fDate
Sept. 2014
Firstpage
1139
Lastpage
1154
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;
fLanguage
English
Journal_Title
Systems, Man, and Cybernetics: Systems, IEEE Transactions on
Publisher
ieee
ISSN
2168-2216
Type
jour
DOI
10.1109/TSMC.2014.2313121
Filename
6804754
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