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Research On Robust Model Of Emergency Logistics Facility Location

Posted on:2018-07-15Degree:MasterType:Thesis
Country:ChinaCandidate:Z D MoFull Text:PDF
GTID:2359330518993496Subject:Logistics Engineering
Abstract/Summary:PDF Full Text Request
Serious sudden natural disasters and man-made disasters still cause significant impact on the masses of the people's lives. In the sudden natural disasters and man-made disasters causing heavy casualties and property losses,how to reduce the loss of emergency logistics is essential. In disaster relief, due to the scarcity of relief supplies and most of the infrastructure of affected areas had been greatly damaged, a supply system with intermediate warehouses has to be established to provide affected people with relief commodities.Considering the domestic and foreign research, this paper establishes bi objective robust model of facility location. Using the robust optimization theory,it can not only enrich the research theory of location problem, but also effectively reduce the loss of emergency logistics so as to effectively and reliably assist decision making.This paper researches on the facility location of emergency logistics.According to the domestic emergency supplies, considering the overall supply chain optimal as overall objective, balancing costand responsiveness, we develop the deterministic model of emergency materials warehouse location. Secondly,considering the uncertain factors in the emergency situation, using the robustoptimization theory, the robust model of emergency materials warehouse location is established, which ensures logistics emergency system to resist external interference in order to maintain the ideal working state. Then we develop bi-objective robust program which aims at minimizing total cost and responsiveness time. Finally, we use the optimization modeling software LINGO to solve the model. Extensive numerical studies are performed to demonstrate the benefits of robust optimization approach. It can improve the quality of service, improve the speed of decision making, and ensure the implementation of the decision.
Keywords/Search Tags:emergency logistics, robust optimization, location, biobjective
PDF Full Text Request
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