Location-routing problem of pharmaceutical pre-warehouse based on dynamic demand

被引：0
|
作者：
Yang Y.-L. [1 ,2 ]
Zhang J. [1 ]
Sun W.-J. [1 ]
Pu Y. [1 ]
机构：
[1] School of Transportation and Logistics, Southwest Jiaotong University, Chengdu
[2] School of Economics and Management, Urban Vocational College of Sichuan, Chengdu
来源：
Kongzhi yu Juece/Control and Decision | 2023年 / 38卷 / 06期
关键词：
dynamic demand; location-routing; NSGA-III; pharmaceutical pre-warehouse;
D O I：
10.13195/j.kzyjc.2021.1639
中图分类号：
学科分类号：
摘要：
As the COVID-19 pandemic evolves, the public has gradually established the habit of buying medical supplies through the Internet. It is urgent to develop an efficient and green medicine distribution mode. A location-routing two-stage mathematical programming model considering dynamic demand is established to solve the problem of location planning and distribution route designing of pharmaceutical pre-warehouse. The NSGA-III algorithm is used to solve the initial optimization stage and dynamic optimization stage respectively. The optimal scheme is selected using the fuzzy clustering method as the initial state of the dynamic optimization stage. Comparing with the NSGA-II algorithm for time, Spacing, HRS and PR, the NSGA-III runs faster, and gets more uniform solution set distribution and better convergence effect. Finally, the influence of the total budget change of fixed cost on the three objective functions of cost, time and carbon emission are calculated to test the sensitivity of the model and algorithm. It indicates that the third-party drug delivery enterprises are more suitable to use small or medium-sized vehicles to complete the delivery task and set relatively abundant location budget. © 2023 Northeast University. All rights reserved.
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页码：1670 / 1678
页数：8
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共 25 条
  • [1] Statistical analysis report on operation of pharmaceutical circulation Industry in 2020
  • [2] Yu V F, Jodiawan P, Gunawan A., An adaptive large neighborhood search for the green mixed fleet vehicle routing problem with realistic energy consumption and partial recharges, Applied Soft Computing, 105, 5, (2021)
  • [3] Ganji M, Rabet R, Sajadi S M., A new coordinating model for green supply chain and batch delivery scheduling with satisfaction customers, Environment, Development and Sustainability, 24, 4, pp. 4566-4601, (2022)
  • [4] Wang W, Yu H, Gao Q, Et al., Energy conversion path and optimization model in COVID-19 under low carbon constraints based on statistical learning theory, Journal of Intelligent & Fuzzy Systems, 39, 6, pp. 9053-9061, (2020)
  • [5] Han Y Q, Li J Q, Liu Z M, Et al., Metaheuristic algorithm for solving the multi-objective vehicle routing problem with time window and drones, International Journal of Advanced Robotic Systems, 17, 2, (2020)
  • [6] Aktar M S, De M, Mazumder S K, Et al., Multi-objective green 4-dimensional transportation problems for breakable incompatible items with different fixed charge payment policies, Computers & Industrial Engineering, 156, (2021)
  • [7] Zhang J L, Li C., Research on dynamic distribution vehicle route optimization under the inflfluence of carbon emission, Chinese Journal of Management Science, pp. 1-13, (2020)
  • [8] Jiang H Q, Zhao Y W, Xu Z J, Et al., Dynamic demand open location-routing problem considering carbon emissions, Computer Integrated Manufacturing Systems, 26, 1, pp. 202-212, (2020)
  • [9] Li H L, Xiong K, Xie X M., Multiobjective contactless delivery on medical supplies under open-loop distribution, Mathematical Problems in Engineering, 2021, pp. 1-7, (2021)
  • [10] Cacchiani V, Contreras-Bolton C, Escobar-Falcon L M, Et al., A matheuristic algorithm for the pollution and energy minimization traveling salesman problems, International Transactions in Operational Research, 2021, 2021, pp. 1-33
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