An APS software selection methodology integrating experts and decisions-maker’s opinions on selection criteria: A case study

With important advancements achieved in information technology, wide varieties of advanced planning and scheduling (APS) software has emerged in recent decades. Each of those APS software uses their own techniques, algorithms and logic to plan and schedule operations, which makes the task of evaluat...

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Autores principales:	Fabrice Chilly Ngamaleu Piengang, Yvan Beauregard, Jean-Pierre Kenné
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2019
Materias:	advanced planning and scheduling (aps) selection multiple criteria decision-making (mcdm) fuzzy ahp fuzzy qfd fuzzy vikor Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/ded6eead8ea64019b312ba38f4d98887
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spelling	oai:doaj.org-article:ded6eead8ea64019b312ba38f4d988872021-11-04T15:51:55ZAn APS software selection methodology integrating experts and decisions-maker’s opinions on selection criteria: A case study2331-191610.1080/23311916.2019.1594509https://doaj.org/article/ded6eead8ea64019b312ba38f4d988872019-01-01T00:00:00Zhttp://dx.doi.org/10.1080/23311916.2019.1594509https://doaj.org/toc/2331-1916With important advancements achieved in information technology, wide varieties of advanced planning and scheduling (APS) software has emerged in recent decades. Each of those APS software uses their own techniques, algorithms and logic to plan and schedule operations, which makes the task of evaluating them very difficult. However, choosing the right APS software is critical for companies because of significant resources engaged and risk of disturbing operations. Presently, a clear, structured and rational approach is lacking in the literature for APS software selection. The main contribution of this paper is to fill this gap by developing an APS software selection methodology. The methodology is based on fuzzy quality function deployment (QFD) and two well-known multiple criteria decision-making (MCDM) techniques, analytic hierarchy process (AHP) and VIKOR. This work considers both company needs and APS selection criteria to build a hybrid hierarchical decision structure. House of quality helps in translating the relevance of the company needs in the evaluation of criteria. Triangular fuzzy numbers are also used to reduce uncertainties in the process. An application of the proposed methodology to an aero-derivative gas turbine case company is carried out to demonstrate the useful and easy implementation of the proposed methodology.Fabrice Chilly Ngamaleu PiengangYvan BeauregardJean-Pierre KennéTaylor & Francis Grouparticleadvanced planning and scheduling (aps)selectionmultiple criteria decision-making (mcdm)fuzzy ahpfuzzy qfdfuzzy vikorEngineering (General). Civil engineering (General)TA1-2040ENCogent Engineering, Vol 6, Iss 1 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	advanced planning and scheduling (aps) selection multiple criteria decision-making (mcdm) fuzzy ahp fuzzy qfd fuzzy vikor Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	advanced planning and scheduling (aps) selection multiple criteria decision-making (mcdm) fuzzy ahp fuzzy qfd fuzzy vikor Engineering (General). Civil engineering (General) TA1-2040 Fabrice Chilly Ngamaleu Piengang Yvan Beauregard Jean-Pierre Kenné An APS software selection methodology integrating experts and decisions-maker’s opinions on selection criteria: A case study
description	With important advancements achieved in information technology, wide varieties of advanced planning and scheduling (APS) software has emerged in recent decades. Each of those APS software uses their own techniques, algorithms and logic to plan and schedule operations, which makes the task of evaluating them very difficult. However, choosing the right APS software is critical for companies because of significant resources engaged and risk of disturbing operations. Presently, a clear, structured and rational approach is lacking in the literature for APS software selection. The main contribution of this paper is to fill this gap by developing an APS software selection methodology. The methodology is based on fuzzy quality function deployment (QFD) and two well-known multiple criteria decision-making (MCDM) techniques, analytic hierarchy process (AHP) and VIKOR. This work considers both company needs and APS selection criteria to build a hybrid hierarchical decision structure. House of quality helps in translating the relevance of the company needs in the evaluation of criteria. Triangular fuzzy numbers are also used to reduce uncertainties in the process. An application of the proposed methodology to an aero-derivative gas turbine case company is carried out to demonstrate the useful and easy implementation of the proposed methodology.
format	article
author	Fabrice Chilly Ngamaleu Piengang Yvan Beauregard Jean-Pierre Kenné
author_facet	Fabrice Chilly Ngamaleu Piengang Yvan Beauregard Jean-Pierre Kenné
author_sort	Fabrice Chilly Ngamaleu Piengang
title	An APS software selection methodology integrating experts and decisions-maker’s opinions on selection criteria: A case study
title_short	An APS software selection methodology integrating experts and decisions-maker’s opinions on selection criteria: A case study
title_full	An APS software selection methodology integrating experts and decisions-maker’s opinions on selection criteria: A case study
title_fullStr	An APS software selection methodology integrating experts and decisions-maker’s opinions on selection criteria: A case study
title_full_unstemmed	An APS software selection methodology integrating experts and decisions-maker’s opinions on selection criteria: A case study
title_sort	aps software selection methodology integrating experts and decisions-maker’s opinions on selection criteria: a case study
publisher	Taylor & Francis Group
publishDate	2019
url	https://doaj.org/article/ded6eead8ea64019b312ba38f4d98887
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An APS software selection methodology integrating experts and decisions-maker’s opinions on selection criteria: A case study

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