Path Optimization of Drug Recovery in Guangzhou Pharmaceutical Company
Landscape Architecture and Regional Planning
Volume 3, Issue 4, December 2018, Pages: 72-78
Received: Dec. 20, 2018; Accepted: Jan. 10, 2019; Published: Jan. 28, 2019
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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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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.
Drug Recycling, Reverse Logistics, VRPSDP, Saving Method, Tabu Search Method
To cite this article
Wei Liu, Yaou Xue, Ling Sun, Path Optimization of Drug Recovery in Guangzhou Pharmaceutical Company, Landscape Architecture and Regional Planning. Vol. 3, No. 4, 2018, pp. 72-78. doi: 10.11648/j.larp.20180304.11
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License ( which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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