Login | Register

Multi-objective reverse logistics network design and analysis


Multi-objective reverse logistics network design and analysis

Rahmatian, Mohammad (2008) Multi-objective reverse logistics network design and analysis. Masters thesis, Concordia University.

[thumbnail of MR45499.pdf]
Text (application/pdf)
MR45499.pdf - Accepted Version


Implementing an efficient closed-loop recovery network requires establishing appropriate logistics systems for flows of new, used, and recovered products. Reverse logistics has received increasing attention from researchers in the last few decades. This research addresses logistics network design in an integrated reverse logistics context. We present a multi-objective facility location and allocation model with multiple commodities. Three objectives are considered: overall cost minimization, product returns collection maximization, and product recovery maximization. The purpose is to obtain a set of non-dominating solutions for facility arrangement among the potential facilities as well as the associated material flows between these facilities and customers. The facility capacities are treated as discrete parameters and are imposed on each product type independently. Numerical examples are presented to analyze the model performance while implementing the constraint method. Finally, the trade-off relationship between the three competing objectives are presented and analyzed. Keywords. Reverse logistics; Multi-objective optimization, Constraint method

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Mechanical and Industrial Engineering
Item Type:Thesis (Masters)
Authors:Rahmatian, Mohammad
Pagination:ix, 70 leaves : ill. ; 29 cm.
Institution:Concordia University
Degree Name:M.A. Sc.
Program:Mechanical and Industrial Engineering
Thesis Supervisor(s):Chen, Mingyuan
Identification Number:LE 3 C66M43M 2008 R34
ID Code:976057
Deposited By: Concordia University Library
Deposited On:22 Jan 2013 16:19
Last Modified:13 Jul 2020 20:09
Related URLs:
All items in Spectrum are protected by copyright, with all rights reserved. The use of items is governed by Spectrum's terms of access.

Repository Staff Only: item control page

Downloads per month over past year

Research related to the current document (at the CORE website)
- Research related to the current document (at the CORE website)
Back to top Back to top