A new framework for warehouse assessment using a Genetic-Algorithm driven analytic network process.

A novel way of integrating the genetic algorithm (GA) and the analytic network process (ANP) is presented in this paper in order to develop a new warehouse assessment scheme, which is developed through various stages. First, we define the main criteria that influence a warehouse performance. The pro...

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Autores principales:	Wafa' H AlAlaween, Abdallah H AlAlawin, Mahdi Mahfouf, Omar H Abdallah, Mohammad A Shbool, Mahmoud F Mustafa
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/34e3849eb1e1420a940e2087a39c89e4
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id	oai:doaj.org-article:34e3849eb1e1420a940e2087a39c89e4
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spelling	oai:doaj.org-article:34e3849eb1e1420a940e2087a39c89e42021-12-02T20:08:27ZA new framework for warehouse assessment using a Genetic-Algorithm driven analytic network process.1932-620310.1371/journal.pone.0256999https://doaj.org/article/34e3849eb1e1420a940e2087a39c89e42021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0256999https://doaj.org/toc/1932-6203A novel way of integrating the genetic algorithm (GA) and the analytic network process (ANP) is presented in this paper in order to develop a new warehouse assessment scheme, which is developed through various stages. First, we define the main criteria that influence a warehouse performance. The proposed algorithm that integrates the GA with the ANP is then utilized to determine the relative importance values of the defined criteria and sub-criteria by considering the interrelationships among them, and assign strength values for such interrelationships. Such an algorithm is also employed to linguistically present the relative importance and the strength of the interrelationships in a way that can circumvent the use of pairwise comparisons. Finally, the audit checklist that consists of questions related to the criteria is integrated with the proposed algorithm for the development of the warehouse assessment scheme. Validated on 45 warehouses, the proposed scheme has been shown to be able to identify the warehouse competitive advantages and the areas where more improvements can be achieved.Wafa' H AlAlaweenAbdallah H AlAlawinMahdi MahfoufOmar H AbdallahMohammad A ShboolMahmoud F MustafaPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 9, p e0256999 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Wafa' H AlAlaween Abdallah H AlAlawin Mahdi Mahfouf Omar H Abdallah Mohammad A Shbool Mahmoud F Mustafa A new framework for warehouse assessment using a Genetic-Algorithm driven analytic network process.
description	A novel way of integrating the genetic algorithm (GA) and the analytic network process (ANP) is presented in this paper in order to develop a new warehouse assessment scheme, which is developed through various stages. First, we define the main criteria that influence a warehouse performance. The proposed algorithm that integrates the GA with the ANP is then utilized to determine the relative importance values of the defined criteria and sub-criteria by considering the interrelationships among them, and assign strength values for such interrelationships. Such an algorithm is also employed to linguistically present the relative importance and the strength of the interrelationships in a way that can circumvent the use of pairwise comparisons. Finally, the audit checklist that consists of questions related to the criteria is integrated with the proposed algorithm for the development of the warehouse assessment scheme. Validated on 45 warehouses, the proposed scheme has been shown to be able to identify the warehouse competitive advantages and the areas where more improvements can be achieved.
format	article
author	Wafa' H AlAlaween Abdallah H AlAlawin Mahdi Mahfouf Omar H Abdallah Mohammad A Shbool Mahmoud F Mustafa
author_facet	Wafa' H AlAlaween Abdallah H AlAlawin Mahdi Mahfouf Omar H Abdallah Mohammad A Shbool Mahmoud F Mustafa
author_sort	Wafa' H AlAlaween
title	A new framework for warehouse assessment using a Genetic-Algorithm driven analytic network process.
title_short	A new framework for warehouse assessment using a Genetic-Algorithm driven analytic network process.
title_full	A new framework for warehouse assessment using a Genetic-Algorithm driven analytic network process.
title_fullStr	A new framework for warehouse assessment using a Genetic-Algorithm driven analytic network process.
title_full_unstemmed	A new framework for warehouse assessment using a Genetic-Algorithm driven analytic network process.
title_sort	new framework for warehouse assessment using a genetic-algorithm driven analytic network process.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/34e3849eb1e1420a940e2087a39c89e4
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A new framework for warehouse assessment using a Genetic-Algorithm driven analytic network process.

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