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      An Optimization Model for Expired Drug Recycling Logistics Networks and Government Subsidy Policy Design Based on Tri-level Programming

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          Abstract

          In order to recycle and dispose of all people’s expired drugs, the government should design a subsidy policy to stimulate users to return their expired drugs, and drug-stores should take the responsibility of recycling expired drugs, in other words, to be recycling stations. For this purpose it is necessary for the government to select the right recycling stations and treatment stations to optimize the expired drug recycling logistics network and minimize the total costs of recycling and disposal. This paper establishes a tri-level programming model to study how the government can optimize an expired drug recycling logistics network and the appropriate subsidy policies. Furthermore, a Hybrid Genetic Simulated Annealing Algorithm (HGSAA) is proposed to search for the optimal solution of the model. An experiment is discussed to illustrate the good quality of the recycling logistics network and government subsides obtained by the HGSAA. The HGSAA is proven to have the ability to converge on the global optimal solution, and to act as an effective algorithm for solving the optimization problem of expired drug recycling logistics network and government subsidies.

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          Most cited references 32

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          An introduction to genetic algorithms

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            Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm

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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                09 July 2015
                July 2015
                : 12
                : 7
                : 7738-7751
                Affiliations
                [1 ]College of Economics and Business Administration, Chongqing University, Chongqing 400044, China; E-Mail: huanghui16340@ 123456163.com
                [2 ]College of Computer and Information Science, Chongqing Normal University, Chongqing 400047, China; E-Mail: lyyjame@ 123456163.com
                [3 ]College of Social Science, Third Military Medical University, Chongqing 400038, China; E-Mail: herryp@ 123456163.com
                Author notes
                [* ]Author to whom correspondence should be addressed; E-Mail: huangbo@ 123456cqu.edu.cn ; Tel.: +86-139-8301-0168.
                Article
                ijerph-12-07738
                10.3390/ijerph120707738
                4515688
                26184252
                © 2015 by the authors; licensee MDPI, Basel, Switzerland.

                This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license ( http://creativecommons.org/licenses/by/4.0/).

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