Mathematical Programming: Series A and B
A Joint Location-Inventory Model
Transportation Science
Stochastic Transportation-Inventory Network Design Problem
Operations Research
Reliability Models for Facility Location: The Expected Failure Cost Case
Transportation Science
A bilevel mixed-integer program for critical infrastructure protection planning
Computers and Operations Research
The Reliable Facility Location Problem: Formulations, Heuristics, and Approximation Algorithms
INFORMS Journal on Computing
Reliable Facility Location Design Under the Risk of Disruptions
Operations Research
Designing decision support systems for value-based management: A survey and an architecture
Decision Support Systems
Reliable facility location design under disruptions
Computers and Operations Research
Super facilities versus chaining in mitigating disruptions impacts
Computers and Industrial Engineering
Approximation Algorithms for Integrated Distribution Network Design Problems
INFORMS Journal on Computing
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We study an integrated supply chain design problem that determines the locations of retailers and the assignments of customers to retailers to minimize the expected costs of location, transportation, and inventory. The system is subject to random supply disruptions that may occur at either the supplier or the retailers. Analytical and numerical studies reveal the effects of these disruptions on retailer locations and customer allocations. In addition, we demonstrate numerically that the cost savings from considering supply disruptions at the supply chain design phase (rather than at the tactical or operational phase) are usually significant.