Sustainable multi-depot emergency facilities location-routing problem with uncertain information

Bo Zhang, Hui Li, Shengguo Li and Jin Peng

Applied Mathematics and Computation, 2018, vol. 333, issue C, 506-520

Abstract: Emergency facilities location and vehicle routing are two of the most challenging issues in emergency logistics. This paper presents an exploration of the sustainable multi-depot emergency facilities location-routing problem with uncertain information. An uncertain multi-objective location-routing programming model is constructed for emergency response with consideration of travel time, emergency relief costs and carbon dioxide emissions via uncertainty theory. By implementing the main-objective method, the uncertain multi-objective model can be rebuilt as an uncertain single-objective optimization model. The properties of the model are discussed in the framework of uncertainty theory. A hybrid intelligent algorithm that integrates uncertain simulation and a genetic algorithm is designed to solve the proposed model. Finally, numerical examples are presented to illustrate the optimization ideas and the robustness and effectiveness of the proposed algorithm.

Keywords: Uncertainty modeling; Uncertainty theory; Location-routing problem; Emergency logistics; Sustainability (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (21)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:333:y:2018:i:c:p:506-520

DOI: 10.1016/j.amc.2018.03.071

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