Loading...

A risk-averse location-protection problem under intentional facility disruptions: a modified hybrid decomposition algorithm

Jalali, S ; Sharif University of Technology | 2018

418 Viewed
  1. Type of Document: Article
  2. DOI: 10.1016/j.tre.2018.04.004
  3. Publisher: Elsevier Ltd , 2018
  4. Abstract:
  5. 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. © 2018
  6. Keywords:
  7. Bi-level programming ; Conditional value-at-risk ; Decomposition algorithm ; Facility location-protection problem ; Game theory ; Sample average approximation ; Decision making ; Decomposition analysis ; Facility location ; Genetic algorithm ; Location decision ; Optimization ; Risk assessment ; Supply chain management
  8. Source: Transportation Research Part E: Logistics and Transportation Review ; Volume 114 , June , 2018 , Pages 196-219 ; 13665545 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/pii/S1366554517310189