A risk-averse location-protection problem under intentional facility disruptions: A modified hybrid decomposition algorithm
Sajjad Jalali,
Mehdi Seifbarghy and
Seyed Taghi Akhavan Niaki
Transportation Research Part E: Logistics and Transportation Review, 2018, vol. 114, issue C, 196-219
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: Facility location-protection problem; Conditional value-at-risk; Bi-level programming; Decomposition algorithm; Sample average approximation; Game theory (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:eee:transe:v:114:y:2018:i:c:p:196-219
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DOI: 10.1016/j.tre.2018.04.004
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