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A decision making model to maximise the value of reverse logistics in the computer industry

journal contribution
posted on 2024-11-01, 06:52 authored by Albert Tan, Arun KumarArun Kumar
This paper examines the viability of reverse logistics by developing a decision making model for manufacturers in deciding under what conditions they should consider reverse logistics to maximise profit. It focuses on computer industry with actors consisting of the manufacturer, its suppliers, channels and repair depots to form the reverse logistics network. A mathematical model is developed to assess the viability of reverse logistics operations: one part of the model examines the make parts either for repair, repackage or scrap and the other part of the model examines buy parts for exchange or credit with supplier. Data collected from a computer company was used to validate the model. The results from the model indicate that reverse logistics can be profitable if the return volume is high and the returns are reused, repaired but not disposed off.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1108/09574090610717518
  2. 2.
    ISSN - Is published in 17427967

Journal

International Journal of Logistics Systems and Management

Volume

4

Issue

3

Start page

297

End page

312

Total pages

16

Publisher

Inderscience Publishers

Place published

United Kingdom

Language

English

Copyright

Copyright © 2008, Inderscience Publishers.

Former Identifier

2006014322

Esploro creation date

2020-06-22

Fedora creation date

2010-12-06

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