Multicriteria Decision Model to Support the Assignment of Storage Location of Products in a Warehouse

The storage of products has a strategic role in the supply chain: an efficient organization of products in appropriate locations enables these products to be moved faster inside the warehouse and logistics channel, which increases the speed of delivery and the competitiveness of enterprises. The aim...

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Main Authors: Denilson Dimas da Silva, Natália Veloso Caldas de Vasconcelos, Cristiano Alexandre Virginio Cavalcante
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2015/481950
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spelling doaj-4b13ba1fb749444c949be31fd17a16072020-11-24T20:54:10ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472015-01-01201510.1155/2015/481950481950Multicriteria Decision Model to Support the Assignment of Storage Location of Products in a WarehouseDenilson Dimas da Silva0Natália Veloso Caldas de Vasconcelos1Cristiano Alexandre Virginio Cavalcante2Department of Production Engineering, School of Engineering, Centre for Technology and Geosciences, Federal University of Pernambuco, 50670-901 Recife, PE, BrazilDepartment of Production Engineering, School of Engineering, Centre for Technology and Geosciences, Federal University of Pernambuco, 50670-901 Recife, PE, BrazilDepartment of Production Engineering, School of Engineering, Centre for Technology and Geosciences, Federal University of Pernambuco, 50670-901 Recife, PE, BrazilThe storage of products has a strategic role in the supply chain: an efficient organization of products in appropriate locations enables these products to be moved faster inside the warehouse and logistics channel, which increases the speed of delivery and the competitiveness of enterprises. The aim of this paper is to propose a multicriteria decision support model for ranking products and assigning them to warehouse storage locations. During the structuring of the model, the nature of the problem was defined as multicriteria; therefore, the SMARTER and lexicographic methods were applied. The results showed an ordering of products that allowed their strategic location in a hypothetical nonautomated warehouse.http://dx.doi.org/10.1155/2015/481950
collection DOAJ
language English
format Article
sources DOAJ
author Denilson Dimas da Silva
Natália Veloso Caldas de Vasconcelos
Cristiano Alexandre Virginio Cavalcante
spellingShingle Denilson Dimas da Silva
Natália Veloso Caldas de Vasconcelos
Cristiano Alexandre Virginio Cavalcante
Multicriteria Decision Model to Support the Assignment of Storage Location of Products in a Warehouse
Mathematical Problems in Engineering
author_facet Denilson Dimas da Silva
Natália Veloso Caldas de Vasconcelos
Cristiano Alexandre Virginio Cavalcante
author_sort Denilson Dimas da Silva
title Multicriteria Decision Model to Support the Assignment of Storage Location of Products in a Warehouse
title_short Multicriteria Decision Model to Support the Assignment of Storage Location of Products in a Warehouse
title_full Multicriteria Decision Model to Support the Assignment of Storage Location of Products in a Warehouse
title_fullStr Multicriteria Decision Model to Support the Assignment of Storage Location of Products in a Warehouse
title_full_unstemmed Multicriteria Decision Model to Support the Assignment of Storage Location of Products in a Warehouse
title_sort multicriteria decision model to support the assignment of storage location of products in a warehouse
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2015-01-01
description The storage of products has a strategic role in the supply chain: an efficient organization of products in appropriate locations enables these products to be moved faster inside the warehouse and logistics channel, which increases the speed of delivery and the competitiveness of enterprises. The aim of this paper is to propose a multicriteria decision support model for ranking products and assigning them to warehouse storage locations. During the structuring of the model, the nature of the problem was defined as multicriteria; therefore, the SMARTER and lexicographic methods were applied. The results showed an ordering of products that allowed their strategic location in a hypothetical nonautomated warehouse.
url http://dx.doi.org/10.1155/2015/481950
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AT cristianoalexandrevirginiocavalcante multicriteriadecisionmodeltosupporttheassignmentofstoragelocationofproductsinawarehouse
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