Product allocation to cross dock and warehouse using genetic algorithm

The main goal of this project is to use a genetic algorithm to allocate different product to a cross dock and warehouse of a distribution center. In spite of the enormous quantity of researches on product allocation to distribution center, allocating different products to cross dock and warehouse is...

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Main Author:	Soleimanynanadegany, Amin
Format:	Thesis
Language:	English
Published:	2014
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://eprints.utm.my/id/eprint/50825/25/AminSoleimanynanadeganyMFKM2014.pdf
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id	my-utm-ep.50825
record_format	uketd_dc
spelling	my-utm-ep.508252020-07-13T01:17:50Z Product allocation to cross dock and warehouse using genetic algorithm 2014-06 Soleimanynanadegany, Amin TJ Mechanical engineering and machinery The main goal of this project is to use a genetic algorithm to allocate different product to a cross dock and warehouse of a distribution center. In spite of the enormous quantity of researches on product allocation to distribution center, allocating different products to cross dock and warehouse is less investigated. In order to fill this gap, this research was conducted analytically using a genetic algorithm to allocate different products to a distribution center. Particularly, one distribution center (located in the South East of Asia) along with 19 products were used as the case of this study. Based on the available literature, the existing constraints were evaluated and used for the aim of ranking different products based on their importance level. Finally, a genetic algorithm were used to allocate the different product to both cross dock and ware house considering the processing cost, demand, capacity and related constraints and determine the best combination of cross docking and warehouse to minimize processing cost as much as possible. The results showed that processing cost of products allocation to cross docking and warehouse can be improved through using genetic algorithm by $215 compared to Li et al.(2008). 2014-06 Thesis http://eprints.utm.my/id/eprint/50825/ http://eprints.utm.my/id/eprint/50825/25/AminSoleimanynanadeganyMFKM2014.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:85445 masters Universiti Teknologi Malaysia, Faculty of Mechanical Engineering Faculty of Mechanical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Soleimanynanadegany, Amin Product allocation to cross dock and warehouse using genetic algorithm
description	The main goal of this project is to use a genetic algorithm to allocate different product to a cross dock and warehouse of a distribution center. In spite of the enormous quantity of researches on product allocation to distribution center, allocating different products to cross dock and warehouse is less investigated. In order to fill this gap, this research was conducted analytically using a genetic algorithm to allocate different products to a distribution center. Particularly, one distribution center (located in the South East of Asia) along with 19 products were used as the case of this study. Based on the available literature, the existing constraints were evaluated and used for the aim of ranking different products based on their importance level. Finally, a genetic algorithm were used to allocate the different product to both cross dock and ware house considering the processing cost, demand, capacity and related constraints and determine the best combination of cross docking and warehouse to minimize processing cost as much as possible. The results showed that processing cost of products allocation to cross docking and warehouse can be improved through using genetic algorithm by $215 compared to Li et al.(2008).
format	Thesis
qualification_level	Master's degree
author	Soleimanynanadegany, Amin
author_facet	Soleimanynanadegany, Amin
author_sort	Soleimanynanadegany, Amin
title	Product allocation to cross dock and warehouse using genetic algorithm
title_short	Product allocation to cross dock and warehouse using genetic algorithm
title_full	Product allocation to cross dock and warehouse using genetic algorithm
title_fullStr	Product allocation to cross dock and warehouse using genetic algorithm
title_full_unstemmed	Product allocation to cross dock and warehouse using genetic algorithm
title_sort	product allocation to cross dock and warehouse using genetic algorithm
granting_institution	Universiti Teknologi Malaysia, Faculty of Mechanical Engineering
granting_department	Faculty of Mechanical Engineering
publishDate	2014
url	http://eprints.utm.my/id/eprint/50825/25/AminSoleimanynanadeganyMFKM2014.pdf
_version_	1747817542991216640

Product allocation to cross dock and warehouse using genetic algorithm

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