Genetic Algorithm with a Changing Grid for Facility Location Problems in a Two-Stage Logistics System with Restricted Inventory Capacity(Theory and Methodology)

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概要

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• This paper discusses the construction of a mathematical model and an optimization procedure for facility location problems in a two-stage logistics system consisting of a plant, distribution centers, and shops. The model is constructed to search for the optimal locations of the distribution centers. The goal is to minimize the total distance between plants and distribution centers and between distribution centers and shops considering the demand distribution and restricted inventory capacity at the distribution centers. In addition, the model includes logistic constraints based on the demand distribution. A genetic algorithm is developed to solve the problem. The algorithm is used in a two-step procedure that modifies the grid to search for the optimal locations of the distribution centers within a reasonable computation time. The algorithm is demonstrated on a simple example to investigate its performance and the effect of grid modification.

• 2011-08-15

著者

• Arakawa Masahiro

  Faculty Of Engineering Kansai University

• Cheng Hung

  Graduate School Of Science And Engineering Kansai University

• Arakawa Masahiro

  Faculty Of Environmental And Urban Engineering Kansai University

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• Genetic Algorithm with a Changing Grid for Facility Location Problems in a Two-Stage Logistics System with Restricted Inventory Capacity(Theory and Methodology)

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