Contingent claims contracting for purchasing decisions in inventory management
Operations Research
Robust capacity planning under uncertainty
Management Science
A model for the capacitated p-facility location problem in global environments
Computers and Operations Research
A Robust Optimization Approach for Improving Service Quality
Manufacturing & Service Operations Management
Coordination and Flexibility in Supply Contracts with Options
Manufacturing & Service Operations Management
A Newsvendor's Procurement Problem when Suppliers Are Unreliable
Manufacturing & Service Operations Management
Reliability Models for Facility Location: The Expected Failure Cost Case
Transportation Science
A two-stage stochastic programming model for transportation network protection
Computers and Operations Research
The integer L-shaped method for stochastic integer programs with complete recourse
Operations Research Letters
Sourcing strategies in supply risk management: An approximate dynamic programming approach
Computers and Operations Research
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As supply chains become more and more dependent on the efficient movement of materials among facilities that are geographically dispersed there is more opportunity for disruption. One of the common disruptions is the loss of production capability at supplier sites. We formulate a two-stage stochastic program and a solution procedure to optimize supplier selection to hedge against these disruptions. This model allows for the effective quantitative exploration of the trade-off between cost and risks to support improved decision-making in global supply chain design. A realistic case study is explored.