Analysis of optimized response time in a new disaster management model by applying metaheuristic and exact methods

Purpose The purpose of this paper is to maximize the total demand covered by established additive manufacturing and distribution centers literal weight assigned drones. Design/methodology/approach Disaster management or humanitarian supply chains (HSCs) differ from commercial in fact that aim HSCs minimize response time a disaster as compared profit maximization goal chains. In paper, authors develop relief chain structure accommodates emerging technologies logistics into two phases – preparedness stage stage. Findings Solving model genetic cuckoo optimization algorithm (COA) comparing results with ones obtained General Algebraic Modeling System (GAMS) clear overcomes other options it has led objective functions are 1.6% 24.1% better GAMS COA, respectively. Originality/value Finally, presented been solved three methods including one exact method metaheuristic methods. Results implementation show Non-dominated sorting II (NSGA-II) performance finding optimal solutions.