Next Article in Journal
U.S. Recreational Water Quality Criteria: A Vision for the Future
Previous Article in Journal
Difference in Pro-Inflammatory Cytokine Responses Induced in THP1 Cells by Particulate Matter Collected on Days with and without ASIAN Dust Storms
Article Menu

Export Article

Open AccessArticle
Int. J. Environ. Res. Public Health 2015, 12(7), 7738-7751; doi:10.3390/ijerph120707738

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

1
College of Economics and Business Administration, Chongqing University, Chongqing 400044, China
2
College of Computer and Information Science, Chongqing Normal University, Chongqing 400047, China
3
College of Social Science, Third Military Medical University, Chongqing 400038, China
*
Author to whom correspondence should be addressed.
Academic Editor: Paul B. Tchounwou
Received: 15 May 2015 / Revised: 19 June 2015 / Accepted: 30 June 2015 / Published: 9 July 2015
View Full-Text   |   Download PDF [758 KB, uploaded 9 July 2015]   |  

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. View Full-Text
Keywords: expired drugs; logistics network; subsidies; multilevel programming; Hybrid Genetic Simulated Annealing Algorithm (HGSAA) expired drugs; logistics network; subsidies; multilevel programming; Hybrid Genetic Simulated Annealing Algorithm (HGSAA)
This 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. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Huang, H.; Li, Y.; Huang, B.; Pi, X. An Optimization Model for Expired Drug Recycling Logistics Networks and Government Subsidy Policy Design Based on Tri-level Programming. Int. J. Environ. Res. Public Health 2015, 12, 7738-7751.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Int. J. Environ. Res. Public Health EISSN 1660-4601 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top