Korean Management Science Review (경영과학)

The Korean Operations Research and Management Science Society (한국경영과학회)
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An Effective Genetic Algorithm for Solving the Joint Inventory and Routing Problem with Multi-warehouses

다수 물류기지 재고 및 경로 문제의 유전알고리즘에 의한 해법

  • Received : 2012.07.26
  • Accepted : 2012.10.02
  • Published : 2012.11.30
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Abstract

In this paper we propose an effective genetic algorithm for solving the integrated inventory and routing problem of supply chain composed of multi-warehouses and multi-retailers. Unlike extant studies dealing with integrated inventory and routing problem of supply chain, our model incorporates more realistic aspect such as positive inventory at the multi-warehouses under the assumption of inventory policy of power of two-replenishment-cycle. The objective is to determine replenishment intervals for the retailers and warehouses as well as the vehicles routes so that the total cost of delivery and inventory cost is minimized. A notable feature of our algorithm is that the procedure for evaluating the fitness of objective function has the computational complexity closing to linear function. Computational results show effectiveness of our algorithm.

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References

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