摘要
The objective of this work was to determine the location of emergency material warehouses. For the site selection problem of emergency material warehouses, the triangular fuzzy numbers are respectively demand of the demand node, the distance between the warehouse and demand node and the cost of the warehouse, a bi-objective programming model was established with minimum total cost of the system and minimum distance between the selected emergency material warehouses and the demand node. Using the theories of fuzzy numbers, the fuzzy programming model was transformed into a determinate bi-objective mixed integer programming model and a heuristic algorithm for this model was designed. Then, the algorithm was proven to be feasible and effective through a numerical example. Analysis results show that the location of emergency material warehouse depends heavily on the values of degree a and weight wl. Accurate information of a certain emergency activity should be collected before making the decision.
The objective of this work was to determine the location of emergency material warehouses.For the site selection problem of emergency material warehouses,the triangular fuzzy numbers are respectively demand of the demand node,the distance between the warehouse and demand node and the cost of the warehouse,a bi-objective programming model was established with minimum total cost of the system and minimum distance between the selected emergency material warehouses and the demand node.Using the theories of fuzzy numbers,the fuzzy programming model was transformed into a determinate bi-objective mixed integer programming model and a heuristic algorithm for this model was designed.Then,the algorithm was proven to be feasible and effective through a numerical example.Analysis results show that the location of emergency material warehouse depends heavily on the values of degree α and weight w1 .Accurate information of a certain emergency activity should be collected before making the decision.
基金
Project(71071162)supported by the National Natural Science Foundation of China
