Evaluating vehicle painting plans in an automobile assembly plant using an integrated AHP-PROMETHEE approach

Detalhes bibliográficos
Autor(a) principal: Oliveira, Márcia
Data de Publicação: 2018
Outros Autores: Fontes, Dalila B. M. M., Pereira, Maria Teresa
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/15809
Resumo: The painting activity is one of the most complex and important activities in automobile manufacturing. The inherent complexity of the painting activity and the frequent need for repainting usually turn the painting process into a bottleneck in automobile assembly plants, which is reflected in higher operating costs and longer overall cycle times. One possible approach for optimizing the performance of the paint shop is to improve the efficiency of the color planning. This can be accomplished by evaluating the relative merits of a set of vehicle painting plans. Since this problem has a multicriteria nature, we resort to the multicriteria decision analysis (MCDA) methodology to tackle it. A recent trend in the MCDA field is the development of hybrid approaches that are used to achieve operational synergies between different methods. Here we apply, for the first time, an integrated approach that combines the strengths of the analytic hierarchy process (AHP) and the Preference Ranking Organization METHod for Enrichment Evaluations (PROMETHEE), aided by Geometrical Analysis for Interactive Aid (GAIA), to the problem of assessing alternative vehicle painting plans. The management of the assembly plant found the results of value and is currently using them in order to schedule the painting activities such that an enhancement of the operational efficiency of the paint shop is obtained. This efficiency gain has allowed the management to bid for a new automobile model to be assembled at this specific plant.
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spelling Evaluating vehicle painting plans in an automobile assembly plant using an integrated AHP-PROMETHEE approachAHPAutomobile paint shopGAIAMulticriteria decision analysisPROMETHEEThe painting activity is one of the most complex and important activities in automobile manufacturing. The inherent complexity of the painting activity and the frequent need for repainting usually turn the painting process into a bottleneck in automobile assembly plants, which is reflected in higher operating costs and longer overall cycle times. One possible approach for optimizing the performance of the paint shop is to improve the efficiency of the color planning. This can be accomplished by evaluating the relative merits of a set of vehicle painting plans. Since this problem has a multicriteria nature, we resort to the multicriteria decision analysis (MCDA) methodology to tackle it. A recent trend in the MCDA field is the development of hybrid approaches that are used to achieve operational synergies between different methods. Here we apply, for the first time, an integrated approach that combines the strengths of the analytic hierarchy process (AHP) and the Preference Ranking Organization METHod for Enrichment Evaluations (PROMETHEE), aided by Geometrical Analysis for Interactive Aid (GAIA), to the problem of assessing alternative vehicle painting plans. The management of the assembly plant found the results of value and is currently using them in order to schedule the painting activities such that an enhancement of the operational efficiency of the paint shop is obtained. This efficiency gain has allowed the management to bid for a new automobile model to be assembled at this specific plant.Repositório Científico do Instituto Politécnico do PortoOliveira, MárciaFontes, Dalila B. M. M.Pereira, Maria Teresa20182119-01-01T00:00:00Z2018-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/15809eng10.1111/itor.12179metadata only accessinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-13T13:00:27Zoai:recipp.ipp.pt:10400.22/15809Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:35:30.965327Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Evaluating vehicle painting plans in an automobile assembly plant using an integrated AHP-PROMETHEE approach
title Evaluating vehicle painting plans in an automobile assembly plant using an integrated AHP-PROMETHEE approach
spellingShingle Evaluating vehicle painting plans in an automobile assembly plant using an integrated AHP-PROMETHEE approach
Oliveira, Márcia
AHP
Automobile paint shop
GAIA
Multicriteria decision analysis
PROMETHEE
title_short Evaluating vehicle painting plans in an automobile assembly plant using an integrated AHP-PROMETHEE approach
title_full Evaluating vehicle painting plans in an automobile assembly plant using an integrated AHP-PROMETHEE approach
title_fullStr Evaluating vehicle painting plans in an automobile assembly plant using an integrated AHP-PROMETHEE approach
title_full_unstemmed Evaluating vehicle painting plans in an automobile assembly plant using an integrated AHP-PROMETHEE approach
title_sort Evaluating vehicle painting plans in an automobile assembly plant using an integrated AHP-PROMETHEE approach
author Oliveira, Márcia
author_facet Oliveira, Márcia
Fontes, Dalila B. M. M.
Pereira, Maria Teresa
author_role author
author2 Fontes, Dalila B. M. M.
Pereira, Maria Teresa
author2_role author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Oliveira, Márcia
Fontes, Dalila B. M. M.
Pereira, Maria Teresa
dc.subject.por.fl_str_mv AHP
Automobile paint shop
GAIA
Multicriteria decision analysis
PROMETHEE
topic AHP
Automobile paint shop
GAIA
Multicriteria decision analysis
PROMETHEE
description The painting activity is one of the most complex and important activities in automobile manufacturing. The inherent complexity of the painting activity and the frequent need for repainting usually turn the painting process into a bottleneck in automobile assembly plants, which is reflected in higher operating costs and longer overall cycle times. One possible approach for optimizing the performance of the paint shop is to improve the efficiency of the color planning. This can be accomplished by evaluating the relative merits of a set of vehicle painting plans. Since this problem has a multicriteria nature, we resort to the multicriteria decision analysis (MCDA) methodology to tackle it. A recent trend in the MCDA field is the development of hybrid approaches that are used to achieve operational synergies between different methods. Here we apply, for the first time, an integrated approach that combines the strengths of the analytic hierarchy process (AHP) and the Preference Ranking Organization METHod for Enrichment Evaluations (PROMETHEE), aided by Geometrical Analysis for Interactive Aid (GAIA), to the problem of assessing alternative vehicle painting plans. The management of the assembly plant found the results of value and is currently using them in order to schedule the painting activities such that an enhancement of the operational efficiency of the paint shop is obtained. This efficiency gain has allowed the management to bid for a new automobile model to be assembled at this specific plant.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-01-01T00:00:00Z
2119-01-01T00:00:00Z
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