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Reliability Facility Location with Fuzzy Demand and Failure Scenarios

Historical war experience demonstrates that crashing critical supply facility has become an efficient tactic during wartime, so it is of great strategic significance to design an efficient and reliable emergency logistics network in face of the uncertainty at war. This paper presents a scenario-based modelling method by considering both demand uncertainty and facility failure scenarios in the mathematical model and the immune genetic algorithm (IGA) is applied to solve it. A set of numerical experiments has been conducted to verify the model and effectiveness of IGA. Finally, the sensitivity analysis results show facility failure probability has a greater impact on the final location decision, which provide model and approach for the location-allocation problem during wartime.