Next Article in Journal
Tracking Restoration of Park and Urban Street Settings in Coronary Artery Disease Patients
Previous Article in Journal
Increase in Suicide Rates by Hanging in the Population of Tabasco, Mexico between 2003 and 2012
Article Menu

Export Article

Open AccessArticle
Int. J. Environ. Res. Public Health 2016, 13(6), 548; doi:10.3390/ijerph13060548

An Improved Multi-Objective Programming with Augmented ε-Constraint Method for Hazardous Waste Location-Routing Problems

Department of Industrial Engineering, Faculty of Engineering Science and Technology, UiT—The Arctic University of Norway, Narvik 8505, Norway
*
Author to whom correspondence should be addressed.
Academic Editor: Yu-Pin Lin
Received: 17 March 2016 / Revised: 18 May 2016 / Accepted: 25 May 2016 / Published: 31 May 2016
View Full-Text   |   Download PDF [2969 KB, uploaded 14 June 2016]   |  

Abstract

Hazardous waste location-routing problems are of importance due to the potential risk for nearby residents and the environment. In this paper, an improved mathematical formulation is developed based upon a multi-objective mixed integer programming approach. The model aims at assisting decision makers in selecting locations for different facilities including treatment plants, recycling plants and disposal sites, providing appropriate technologies for hazardous waste treatment, and routing transportation. In the model, two critical factors are taken into account: system operating costs and risk imposed on local residents, and a compensation factor is introduced to the risk objective function in order to account for the fact that the risk level imposed by one type of hazardous waste or treatment technology may significantly vary from that of other types. Besides, the policy instruments for promoting waste recycling are considered, and their influence on the costs and risk of hazardous waste management is also discussed. The model is coded and calculated in Lingo optimization solver, and the augmented ε-constraint method is employed to generate the Pareto optimal curve of the multi-objective optimization problem. The trade-off between different objectives is illustrated in the numerical experiment. View Full-Text
Keywords: hazardous waste management; location-routing problem; mixed integer programming; multi-objective programming; augmented ε-constraint method hazardous waste management; location-routing problem; mixed integer programming; multi-objective programming; augmented ε-constraint method
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

Yu, H.; Solvang, W.D. An Improved Multi-Objective Programming with Augmented ε-Constraint Method for Hazardous Waste Location-Routing Problems. Int. J. Environ. Res. Public Health 2016, 13, 548.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

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