A GA Model Development for Decision Making Under Reverse Logistics
Managing products’ end-of-life and recovery of used products is gaining significant importance during last years. Therefore, managing the reverse flow of products can be an important potential for winning consumers in future competitive markets. In this context, establishing reverse logistics networ...
Main Authors: | , |
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Format: | Article |
Language: | English |
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Iran University of Science & Technology
2010-12-01
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Series: | International Journal of Industrial Engineering and Production Research |
Subjects: | |
Online Access: | http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-1-121&slc_lang=en&sid=1 |
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author | Mohammad Bagher Fakhrzad Mitra Moobed |
author_facet | Mohammad Bagher Fakhrzad Mitra Moobed |
author_sort | Mohammad Bagher Fakhrzad |
collection | DOAJ |
description | Managing products’ end-of-life and recovery of used products is gaining significant importance during last years. Therefore, managing the reverse flow of products can be an important potential for winning consumers in future competitive markets. In this context, establishing reverse logistics networks is becoming a main problem in reverse supply chains. Genetic Algorithm (GA) is utilized to solve the proposed NP-hard problem and find the best possible design for different facilities. In order to test the applicability of proposed GA, we suppose a tire reverse logistic case and solve the problem. The results show that the least cost will be achieved by using the free space of distribution centers and integrating collection and inspection centers within them. In addition, we suggest using hybrid algorithm in future allocation problems to obtain best solutions . |
first_indexed | 2024-12-11T08:42:17Z |
format | Article |
id | doaj.art-bc6da89dad4c457b865b211238e6037c |
institution | Directory Open Access Journal |
issn | 2008-4889 2345-363X |
language | English |
last_indexed | 2024-12-11T08:42:17Z |
publishDate | 2010-12-01 |
publisher | Iran University of Science & Technology |
record_format | Article |
series | International Journal of Industrial Engineering and Production Research |
spelling | doaj.art-bc6da89dad4c457b865b211238e6037c2022-12-22T01:14:13ZengIran University of Science & TechnologyInternational Journal of Industrial Engineering and Production Research2008-48892345-363X2010-12-01214211220A GA Model Development for Decision Making Under Reverse LogisticsMohammad Bagher Fakhrzad0Mitra Moobed1 Mohammad Bagher Fakhrzad, Department of Industrial Engineering, Yazd University Department of Industrial Engineering, Yazd University Managing products’ end-of-life and recovery of used products is gaining significant importance during last years. Therefore, managing the reverse flow of products can be an important potential for winning consumers in future competitive markets. In this context, establishing reverse logistics networks is becoming a main problem in reverse supply chains. Genetic Algorithm (GA) is utilized to solve the proposed NP-hard problem and find the best possible design for different facilities. In order to test the applicability of proposed GA, we suppose a tire reverse logistic case and solve the problem. The results show that the least cost will be achieved by using the free space of distribution centers and integrating collection and inspection centers within them. In addition, we suggest using hybrid algorithm in future allocation problems to obtain best solutions .http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-1-121&slc_lang=en&sid=1reverse logistic Genetic Algorithmallocation problem integration |
spellingShingle | Mohammad Bagher Fakhrzad Mitra Moobed A GA Model Development for Decision Making Under Reverse Logistics International Journal of Industrial Engineering and Production Research reverse logistic Genetic Algorithm allocation problem integration |
title | A GA Model Development for Decision Making Under Reverse Logistics |
title_full | A GA Model Development for Decision Making Under Reverse Logistics |
title_fullStr | A GA Model Development for Decision Making Under Reverse Logistics |
title_full_unstemmed | A GA Model Development for Decision Making Under Reverse Logistics |
title_short | A GA Model Development for Decision Making Under Reverse Logistics |
title_sort | ga model development for decision making under reverse logistics |
topic | reverse logistic Genetic Algorithm allocation problem integration |
url | http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-1-121&slc_lang=en&sid=1 |
work_keys_str_mv | AT mohammadbagherfakhrzad agamodeldevelopmentfordecisionmakingunderreverselogistics AT mitramoobed agamodeldevelopmentfordecisionmakingunderreverselogistics AT mohammadbagherfakhrzad gamodeldevelopmentfordecisionmakingunderreverselogistics AT mitramoobed gamodeldevelopmentfordecisionmakingunderreverselogistics |