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Optimization of Ordering and Allocation Scheme for Distributed Material Warehouse Based on IGA-SA Algorithm

Author

Listed:
  • Han Jiang

    (School of Mechanical Engineering, Tianjin University, Tianjin 300350, China)

  • Yunlong Wu

    (Beijing Xinfeng Aerospace Equipment Company, Beijing 100143, China)

  • Qing Zhang

    (School of Mechanical Engineering, Tianjin University, Tianjin 300350, China)

Abstract

The distributed material warehouse is the crucial link in the process of modern enterprise construction, and the goal of the enterprise is to save the cost of material distribution and reduce the time of distribution. In order to obtain the optimal ordering and allocation scheme, firstly, a distributed inventory system consisting of an ordering centre, a material coordination centre and n material warehouses are considered, and the cost model of ordering and allocation of the distributed material warehouse is established. Next, the safety stock and the ordering point of the distributed material warehouse are solved. Then the improved genetic algorithm-simulated annealing algorithm (IGA-SA) is used to solve the optimization of the distributed material warehouse. Finally, the application example is given. The results show that the IGA-SA algorithm can effectively reduce inventory cost and improve inventory utilization.

Suggested Citation

  • Han Jiang & Yunlong Wu & Qing Zhang, 2020. "Optimization of Ordering and Allocation Scheme for Distributed Material Warehouse Based on IGA-SA Algorithm," Mathematics, MDPI, vol. 8(10), pages 1-17, October.
    • Handle: RePEc:gam:jmathe:v:8:y:2020:i:10:p:1746-:d:426257
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    Cited by:

    1. Yuxin Liu & Zihang Qin & Jin Liu, 2023. "An Improved Genetic Algorithm for the Granularity-Based Split Vehicle Routing Problem with Simultaneous Delivery and Pickup," Mathematics, MDPI, vol. 11(15), pages 1-15, July.
    2. Yue Tan & Liyi Gu & Senyu Xu & Mingchao Li, 2024. "Supply Chain Inventory Management from the Perspective of “Cloud Supply Chain”—A Data Driven Approach," Mathematics, MDPI, vol. 12(4), pages 1-30, February.

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