Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7427694 | Transportation Research Part E: Logistics and Transportation Review | 2018 | 24 Pages |
Abstract
The rising disruptions of interdictors force supply chains' designers to embody the protection decisions when locating the facilities. In the presence of variability in the intensity of disruptions, a risk measure is incorporated into the decision-making. The designer-interdictor bi-level problem, therefore, optimizes the joint location and protection decisions with respect to the conditional value-at-risk. This configuration has been absent from the literature. An accelerated modified Benders decomposition algorithm is developed and enhanced by being hybridized with a sample average approximation-based genetic algorithm. We examine how this new configuration influences the optimal solutions and assess the effectiveness of the proposed method.
Keywords
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Authors
Sajjad Jalali, Mehdi Seifbarghy, Seyed Taghi Akhavan Niaki,