Landscape Architecture and Regional Planning

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Path Optimization of Drug Recovery in Guangzhou Pharmaceutical Company

Received: 20 December 2018    Accepted: 10 January 2019    Published: 28 January 2019
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Abstract

In order to optimize the VRPSDP problem with time window restriction that occurs simultaneously in drug distribution and recovery. Based on the background of Guangzhou Pharmaceutical Company, then set up the path optimization model of single distribution center with time window, and using the improved saving algorithm to find the initial solution, and using tabu search algorithm software to optimize the model combined with the Matlab. It shows that this optimization has certain practical significance for the model and algorithm of VRPSDP problem design in pharmaceutical enterprises.

DOI 10.11648/j.larp.20180304.11
Published in Landscape Architecture and Regional Planning (Volume 3, Issue 4, December 2018)
Page(s) 72-78
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Drug Recycling, Reverse Logistics, VRPSDP, Saving Method, Tabu Search Method

References
[1] Liu Rui. Harbin Pharmaceutical Reverse Logistics Development Analysis [J]. Logistics Science and Technology, 2007, (12):67-68.
[2] Liu Ting. Reverse Logistics Analysis of Drug Recovery Based on Tripartite Evolutionary Game [J]. Logistics Science and Technology, 2014, (02):115-120.
[3] Cheng Xiao, Wu Zhili, Li Xiaojun. Reverse Logistics of Economical Drugs [J]. Medical Report, 2006, (05):491-492.
[4] Tong, Alfred. Y. C., Peake, BarriM, Braund, Rhiannon. Disposal practices for unused medications around the world [J]. Environment International, 2011(37):292-298.
[5] Matilda Persson, Emma Sabelström, Bo Gunnarsson. Handling of unused prescription drugs — knowledge, behaviour and attitude among Swedish people [J]. Environment International 2009(35):771-774.
[6] Hejrani, Sasan, Ko, Hoo Sang. A reverse logistics model for medical waste management [J]. Annual Conference and Expo 2013, 2013, 97-105.
[7] Zhang Xiaohuan. The Development Situation and Countermeasure Research of Chinese Medical Cold Chain Logistics [J]. Management Observation, 2015, (08):151-154.
[8] Song Di. The process of standardization of medical cold chain logistics is urgent [N]. China Enterprise Daily, 2013-10-29(T01).
[9] Zhang Chunhua. Question Drug Interrogation on Social Responsibility of Pharmaceutical Enterprises [J]. WTO Economic Guide, 2009, (08):30-33.
[10] Huang Meiyu. Quality control system expands to both ends [N], 2006-08-29(A01).
[11] Hu Ziyan, Zhang Yong and Chen Yun. On the Construction of Social Responsibility of Pharmaceutical Enterprises in the Perspective of Harmonious Medicine [J], 2011, (35):133-135.
[12] Guan Xiaodong, Zhang Yuqing, Xin Weixiong, Historical Records. Introduction of Overdue Drug Recycling System in Foreign Countries and Its Enlightenment to China [J], 2015, (22):3036-3039.
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[14] Liu Qing. Modeling and optimization of simultaneous pickup and delivery vehicle routing problem with stochastic demand [D]. Nanjing University of Aeronautics and Astronautics, 2012.
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[16] Wang Zhijian, Wang Xiaobo, Li Yijun. Hybrid genetic heuristic algorithm for vehicle routing problem of integrated collection and distribution [J]. Journal of Systems Management, 2009, 18(3):338-343.
Author Information
  • College of Transport & Communications, Shanghai Maritime University, Shanghai, China

  • College of Transport & Communications, Shanghai Maritime University, Shanghai, China

  • College of Transport & Communications, Shanghai Maritime University, Shanghai, China

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  • APA Style

    Wei Liu, Yaou Xue, Ling Sun. (2019). Path Optimization of Drug Recovery in Guangzhou Pharmaceutical Company. Landscape Architecture and Regional Planning, 3(4), 72-78. https://doi.org/10.11648/j.larp.20180304.11

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    ACS Style

    Wei Liu; Yaou Xue; Ling Sun. Path Optimization of Drug Recovery in Guangzhou Pharmaceutical Company. Landsc. Archit. Reg. Plan. 2019, 3(4), 72-78. doi: 10.11648/j.larp.20180304.11

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    AMA Style

    Wei Liu, Yaou Xue, Ling Sun. Path Optimization of Drug Recovery in Guangzhou Pharmaceutical Company. Landsc Archit Reg Plan. 2019;3(4):72-78. doi: 10.11648/j.larp.20180304.11

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  • @article{10.11648/j.larp.20180304.11,
      author = {Wei Liu and Yaou Xue and Ling Sun},
      title = {Path Optimization of Drug Recovery in Guangzhou Pharmaceutical Company},
      journal = {Landscape Architecture and Regional Planning},
      volume = {3},
      number = {4},
      pages = {72-78},
      doi = {10.11648/j.larp.20180304.11},
      url = {https://doi.org/10.11648/j.larp.20180304.11},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.larp.20180304.11},
      abstract = {In order to optimize the VRPSDP problem with time window restriction that occurs simultaneously in drug distribution and recovery. Based on the background of Guangzhou Pharmaceutical Company, then set up the path optimization model of single distribution center with time window, and using the improved saving algorithm to find the initial solution, and using tabu search algorithm software to optimize the model combined with the Matlab. It shows that this optimization has certain practical significance for the model and algorithm of VRPSDP problem design in pharmaceutical enterprises.},
     year = {2019}
    }
    

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  • TY  - JOUR
    T1  - Path Optimization of Drug Recovery in Guangzhou Pharmaceutical Company
    AU  - Wei Liu
    AU  - Yaou Xue
    AU  - Ling Sun
    Y1  - 2019/01/28
    PY  - 2019
    N1  - https://doi.org/10.11648/j.larp.20180304.11
    DO  - 10.11648/j.larp.20180304.11
    T2  - Landscape Architecture and Regional Planning
    JF  - Landscape Architecture and Regional Planning
    JO  - Landscape Architecture and Regional Planning
    SP  - 72
    EP  - 78
    PB  - Science Publishing Group
    SN  - 2637-4374
    UR  - https://doi.org/10.11648/j.larp.20180304.11
    AB  - In order to optimize the VRPSDP problem with time window restriction that occurs simultaneously in drug distribution and recovery. Based on the background of Guangzhou Pharmaceutical Company, then set up the path optimization model of single distribution center with time window, and using the improved saving algorithm to find the initial solution, and using tabu search algorithm software to optimize the model combined with the Matlab. It shows that this optimization has certain practical significance for the model and algorithm of VRPSDP problem design in pharmaceutical enterprises.
    VL  - 3
    IS  - 4
    ER  - 

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