JEB logo

Journal of Environmental Biology

pISSN: 0254-8704 ; eISSN: 2394-0379 ; CODEN: JEBIDP

About Journal
    Editor in Chief
    Editorial Board
    Reviewer Panel
    Publication Policies
    Guidelines for Editors
    Guidelines for Reviewers
    Abstracting and Indexing
    Subscription and Payments
    Contact Journal
Read Journal
    Current Issue
    Journal Archives
For Authors
    Guidelines for Authors
    Terms and Conditions
    Fees and Payments
    Track Paper Status
    JEB Awards

Google Search the Journal web-site:

    Abstract - Issue Sep 2016, 37 (5)                                     Back

nstantaneous and historical temperature effects on a-pinene

Robust reverse logistics network design for the waste of electrical and electronic equipment (WEEE) under recovery uncertainty


Sun Qiang1* and Xing-Zhong Zhou2

1*School of Business and Administrator, Liaoning Technical University, Huludao, Liaoning, China

2Department of Automotive Engineering, Shandong Huayu University of Technical, Dezhou, Shandong China

*Corresponding Author E-mail:



Publication Data

Paper received:

25 October 2015


Revised received:

27 April 2016


Re-revised received:

05 May 2016



23 June 2016



The recovery of waste electrical and electronic equipment (WEEE) has become a major issue for solid waste management. Exploring new ways to dispose of WEEE has become mandatory in most of the countries in the world. Reverse logistics which is the backward flows of used product from consumers to producers is an important stage dealing with the WEEE. The reverse logistics network design for WEEE plays an important role in the total cost of recovery system. With this study, taking into account the uncertainty of reverse logistics network operation for WEEE, a robust mixed integer linear programming model for WEEE reverse logistics network was established for handling problem, which was affected by the uncertainty of recovery based on the risk preference coefficient and penalty coefficient deviated from the constraints, that could allow decision-makers to adjust the robust level of the operation system and risk preferences. The calculation and simulation of the model is used for lingo 11.0. The result showed that the robust mixed integer linear programming model was better than the classic model, which had a lower operational risk and could give consideration to the cycles of different circumstances that is effective in inhibiting the uncertainty of reverse logistics system for WEEE.   



 Key words

Network design, Reverse logistics, Recovery uncertainty, Robust optimization, WEEE



Copyright ? 2016 Triveni Enterprises. All rights reserved. No part of the Journal can be reproduced in any form without prior permission. Responsibility regarding the authenticity of the data, and the acceptability of the conclusions enforced or derived, rest completely with the author(s).