Strategic network design for reverse logistics

Reverse logistics (RL) is gaining importance both in terms of research and industrial applications due to the thrust by the government, environmentalists and consumers to conserve resources. The issue in RL is to take back the used products, so that the product or its parts are appropriately dispose...

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Main Author: Mutha Akshay Kiran
Other Authors: Shaligram Pokharel
Format: Theses and Dissertations
Language:English
Published: 2008
Subjects:
Online Access:https://hdl.handle.net/10356/13482
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-134822023-03-11T17:24:49Z Strategic network design for reverse logistics Mutha Akshay Kiran Shaligram Pokharel School of Mechanical and Aerospace Engineering DRNTU::Engineering::Industrial engineering::Engineering logistics Reverse logistics (RL) is gaining importance both in terms of research and industrial applications due to the thrust by the government, environmentalists and consumers to conserve resources. The issue in RL is to take back the used products, so that the product or its parts are appropriately disposed, recycled, reused, or remanufactured. Most of the researchers do not recognize the complexity in handling returns of modular products. Also, most of the models proposed in the literature are not suitable for multi-product configurations. Thus, a deterministic optimization model is proposed to design a network for recovery of products. The model considers supply of return products, demand for the remanufactured products, supply of reusable modules and materials in the secondary market and is suitable for multi-product configurations. The network also considers suppliers of new modules to be used during the final assembly of the product. However, in practice, the return of used products and the demand for remanufactured products is uncertain. Hence, the base model is modified to incorporate stochastic supply and demand scenarios. The proposed networks are analyzed by using simulated data to show the applicability of the model in real life situations. Scenario analyses are performed on the model to depict real life situations. The proposed network can assist in strategic decision making in RL networks. MASTER OF ENGINEERING (MAE) 2008-10-20T08:20:25Z 2008-10-20T08:20:25Z 2008 2008 Thesis Mutha Akshay Kiran. (2008). Strategic network design for reverse logistics. Master’s thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/13482 10.32657/10356/13482 en 147 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Industrial engineering::Engineering logistics
spellingShingle DRNTU::Engineering::Industrial engineering::Engineering logistics
Mutha Akshay Kiran
Strategic network design for reverse logistics
description Reverse logistics (RL) is gaining importance both in terms of research and industrial applications due to the thrust by the government, environmentalists and consumers to conserve resources. The issue in RL is to take back the used products, so that the product or its parts are appropriately disposed, recycled, reused, or remanufactured. Most of the researchers do not recognize the complexity in handling returns of modular products. Also, most of the models proposed in the literature are not suitable for multi-product configurations. Thus, a deterministic optimization model is proposed to design a network for recovery of products. The model considers supply of return products, demand for the remanufactured products, supply of reusable modules and materials in the secondary market and is suitable for multi-product configurations. The network also considers suppliers of new modules to be used during the final assembly of the product. However, in practice, the return of used products and the demand for remanufactured products is uncertain. Hence, the base model is modified to incorporate stochastic supply and demand scenarios. The proposed networks are analyzed by using simulated data to show the applicability of the model in real life situations. Scenario analyses are performed on the model to depict real life situations. The proposed network can assist in strategic decision making in RL networks.
author2 Shaligram Pokharel
author_facet Shaligram Pokharel
Mutha Akshay Kiran
format Theses and Dissertations
author Mutha Akshay Kiran
author_sort Mutha Akshay Kiran
title Strategic network design for reverse logistics
title_short Strategic network design for reverse logistics
title_full Strategic network design for reverse logistics
title_fullStr Strategic network design for reverse logistics
title_full_unstemmed Strategic network design for reverse logistics
title_sort strategic network design for reverse logistics
publishDate 2008
url https://hdl.handle.net/10356/13482
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