Robust Sourcing from Suppliers under Ambiguously Correlated Major Disruption Risks

被引:28
|
作者
Zhao, Ming [1 ]
Freeman, Nickolas K. [2 ]
机构
[1] Univ Houston, CT Bauer Coll Business, Dept Decis & Informat Sci, Houston, TX 77204 USA
[2] Univ Alabama, Culverhouse Coll Business, Dept Informat Syst Stat & Management Sci, Tuscaloosa, AL 35487 USA
关键词
supply uncertainty; multiple sourcing; distributional uncertainty; supplier selection; DIVERSIFICATION; OPTIMIZATION; REPLENISHMENT; COMPETITION; PRICE;
D O I
10.1111/poms.12933
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
As the severity and frequency of supply chain disruptions increases due to globalization and outsourcing, companies are faced with the challenge of managing correlated disruption risks. However, correctly estimating supplier correlations is difficult and relying on incorrect estimates can be costly. Motivated by these challenges, we consider models for managing disruption risks when suppliers are ambiguously correlated. Our models are based on profit-oriented correlation structures that only require accurate estimates of the marginal disruption probabilities for available suppliers. Analysis of the models, along with extensive numerical studies, show that they offer high-quality solutions and provide several important insights regarding supplier selection, appropriate budgets for efforts to better understand the prevailing correlation structure, and identifying subsets of the available suppliers that should be considered for strategic alliances. In addition to these benefits, we discuss a progressive, profit-oriented approach for risk management that is based on these models and is easily implemented in situations with minimal in formation regarding supplier correlations.
引用
收藏
页码:441 / 456
页数:16
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