An application of Lagrangian relaxation approach in reverse logistics problem

This research examines the reverse logistics problem in which manufacturers need to determine the collection methods for used product at the end of its life. Three collection methods are studied namely pick-up, drop-off and mail return. The research investigates the problem of assigning appropriate...

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Main Author: Lamsali, Hendrik
Format: Article
Language:English
Published: Scientific & Academic Publishing Co. 2013
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Online Access:http://repo.uum.edu.my/18071/1/M%203%201%202013%20%2024%2030.pdf
http://repo.uum.edu.my/18071/
http://article.sapub.org/10.5923.j.mm.20130301.06.html
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spelling my.uum.repo.180712016-06-07T07:46:08Z http://repo.uum.edu.my/18071/ An application of Lagrangian relaxation approach in reverse logistics problem Lamsali, Hendrik HD28 Management. Industrial Management This research examines the reverse logistics problem in which manufacturers need to determine the collection methods for used product at the end of its life. Three collection methods are studied namely pick-up, drop-off and mail return. The research investigates the problem of assigning appropriate collection methods that can maximize manufacturer’s profit. Initially, a mixed integer non-linear programming model integrating the three collection methods is proposed to tackle the problem. In the later part, a Lagrangian heuristic approach is then proposed due to the complexity of the problem and the inability of the previous solution method to solve larger problem instances effectively.The proposed solution is tested using some problem instances and the results are promising.The issues, potential and benefits of the proposed solution are highlighted. Scientific & Academic Publishing Co. 2013 Article PeerReviewed application/pdf en cc4_by http://repo.uum.edu.my/18071/1/M%203%201%202013%20%2024%2030.pdf Lamsali, Hendrik (2013) An application of Lagrangian relaxation approach in reverse logistics problem. Management, 3 (1). pp. 24-30. ISSN 2162-9374 http://article.sapub.org/10.5923.j.mm.20130301.06.html DOI: 10.5923/j.mm.20130301.06
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic HD28 Management. Industrial Management
spellingShingle HD28 Management. Industrial Management
Lamsali, Hendrik
An application of Lagrangian relaxation approach in reverse logistics problem
description This research examines the reverse logistics problem in which manufacturers need to determine the collection methods for used product at the end of its life. Three collection methods are studied namely pick-up, drop-off and mail return. The research investigates the problem of assigning appropriate collection methods that can maximize manufacturer’s profit. Initially, a mixed integer non-linear programming model integrating the three collection methods is proposed to tackle the problem. In the later part, a Lagrangian heuristic approach is then proposed due to the complexity of the problem and the inability of the previous solution method to solve larger problem instances effectively.The proposed solution is tested using some problem instances and the results are promising.The issues, potential and benefits of the proposed solution are highlighted.
format Article
author Lamsali, Hendrik
author_facet Lamsali, Hendrik
author_sort Lamsali, Hendrik
title An application of Lagrangian relaxation approach in reverse logistics problem
title_short An application of Lagrangian relaxation approach in reverse logistics problem
title_full An application of Lagrangian relaxation approach in reverse logistics problem
title_fullStr An application of Lagrangian relaxation approach in reverse logistics problem
title_full_unstemmed An application of Lagrangian relaxation approach in reverse logistics problem
title_sort application of lagrangian relaxation approach in reverse logistics problem
publisher Scientific & Academic Publishing Co.
publishDate 2013
url http://repo.uum.edu.my/18071/1/M%203%201%202013%20%2024%2030.pdf
http://repo.uum.edu.my/18071/
http://article.sapub.org/10.5923.j.mm.20130301.06.html
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score 13.188404