Path Optimization of Drug Recovery in Guangzhou Pharmaceutical Company

Wei Liu; Yaou Xue; Ling Sun

doi:doi:10.11648/j.larp.20180304.11

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Path Optimization of Drug Recovery in Guangzhou Pharmaceutical Company

Wei Liu, Yaou Xue, Ling Sun

Published in Landscape Architecture and Regional Planning (Volume 3, Issue 4)

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.

Published in	Landscape Architecture and Regional Planning (Volume 3, Issue 4)
DOI	10.11648/j.larp.20180304.11
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), 2019. Published by Science Publishing Group

Keywords

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

References

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[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).
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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.

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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://article.sciencepublishinggroup.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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Author Information

Wei Liu

College of Transport & Communications, Shanghai Maritime University, Shanghai, China
Yaou Xue

College of Transport & Communications, Shanghai Maritime University, Shanghai, China
Ling Sun

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

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Plain Text BibTeX RIS

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

Copy | Download

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

Copy | Download

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

Copy | Download

@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://article.sciencepublishinggroup.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}
}

Copy | Download

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  -

Copy | Download