Publication
Evaluating vehicle painting plans in an automobile assembly plant using an integrated AHP-PROMETHEE approach
dc.contributor.author | Oliveira, Márcia | |
dc.contributor.author | Fontes, Dalila B. M. M. | |
dc.contributor.author | Pereira, Maria Teresa Ribeiro | |
dc.date.accessioned | 2016-01-19T17:40:25Z | |
dc.date.available | 2016-01-19T17:40:25Z | |
dc.date.issued | 2015 | |
dc.description.abstract | 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. | pt_PT |
dc.description.sponsorship | This work is partially funded by project “NORTE-07-0124-FEDER-000057,” funded by the North Portugal Regional Operational Programme (ON.2 – O Novo Norte), under the National Strategic Reference Framework (NSRF), through the European Regional Development Fund (ERDF); by ERDF (FEDER) through the COMPETE Programme, and by national funds, through the Portuguese funding agency, Fundação para a Ciência e a Tecnologia (FCT) within project FCOMP-01-0124-FEDER-037281. The first author also received funding from the FCT, under Ph.D. grant SFRH/BD/81339/2011. The authors also wish to acknowledge the valuable help of TOYOTA Caetano de Portugal, and in particular of Eng. Carlos Rodrigues, in providing the research scenario and the necessary conditions to conduct this case study. | |
dc.identifier.doi | 10.1111/itor.12179 | pt_PT |
dc.identifier.issn | 1475-3995 | |
dc.identifier.uri | http://hdl.handle.net/10400.22/7414 | |
dc.language.iso | eng | pt_PT |
dc.publisher | Wiley | pt_PT |
dc.relation | NORTE-07-0124-FEDER-000057 | |
dc.relation | FCOMP-01-0124-FEDER-037281 | |
dc.relation | SFRH/BD/81339/2011 | |
dc.relation.publisherversion | http://onlinelibrary.wiley.com/wol1/doi/10.1111/itor.12179/abstract | pt_PT |
dc.subject | AHP | pt_PT |
dc.subject | Automobile paint shop | pt_PT |
dc.subject | GAIA | pt_PT |
dc.subject | Multicriteria decision analysis | pt_PT |
dc.subject | PROMETHEE | pt_PT |
dc.title | Evaluating vehicle painting plans in an automobile assembly plant using an integrated AHP-PROMETHEE approach | pt_PT |
dc.type | journal article | |
dspace.entity.type | Publication | |
oaire.citation.title | International Transactions in Operational Research | pt_PT |
person.familyName | Ribeiro Pereira | |
person.givenName | Maria Teresa | |
person.identifier | U-2265-2018 | |
person.identifier.ciencia-id | 7A16-77DE-410A | |
person.identifier.orcid | 0000-0003-4556-9578 | |
person.identifier.scopus-author-id | 56624034400 | |
rcaap.rights | closedAccess | pt_PT |
rcaap.type | article | pt_PT |
relation.isAuthorOfPublication | 3f7f1146-378f-4f1d-80ba-d499f3bd114b | |
relation.isAuthorOfPublication.latestForDiscovery | 3f7f1146-378f-4f1d-80ba-d499f3bd114b |