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dc.contributor.authorRamanathan, Ramakrishnanen_GB
dc.contributor.authorYunfeng, J.en_GB
dc.date.accessioned2013-07-03T07:58:55Z
dc.date.available2013-07-03T07:58:55Z
dc.date.issued2009
dc.identifier.citationRamakrishnan, R. & Yunfeng, J. (2009) 'Incorporating cost and environmental factors in Quality Function Deployment using Data Envelopment Analysis', Omega: The International Journal of Management Science, 37(3), pp. 711-723.en_GB
dc.identifier.issn0305-0483
dc.identifier.doi10.1016/j.omega.2007.12.003
dc.identifier.urihttp://hdl.handle.net/10547/295099
dc.description.abstractQuality function deployment (QFD) is an important tool available to organizations for efficient product design and development. Traditionally, QFD rates the design requirements (DRs) with respect to customer needs, and aggregates the ratings to get relative importance scores of DRs. An increasing number of studies stress on the need to incorporate additional factors, such as cost and environmental impact, while calculating the relative importance of DRs. However, there is a paucity of methodologies for deriving the relative importance of DRs when several additional factors are considered. In this paper, data envelopment analysis (DEA) is suggested for the purpose. It is proved that the relative importance values computed by DEA coincide with traditional QFD calculations when only the ratings of DRs with respect to customer needs are considered, and when only one additional factor, namely cost, is considered. DEA provides a general framework facilitating QFD computations when more factors need to be considered. The calculations are explained using a step-by-step procedure and illustrations. The proposed QFD–DEA methodology is applied to the design of security fasteners for a Chinese company. Though traditional QFD calculations consider the ratings as cardinal numbers, DEA has the flexibility to treat the ratings as qualitative variables. This aspect is illustrated in a separate section.
dc.language.isoenen
dc.publisherElsevieren_GB
dc.relation.urlhttp://linkinghub.elsevier.com/retrieve/pii/S0305048307001272en_GB
dc.rightsArchived with thanks to Omegaen_GB
dc.subjectquality function deploymenten_GB
dc.subjectqualitative and quantitative factorsen_GB
dc.subjectdesign of security fastenersen_GB
dc.titleIncorporating cost and environmental factors in quality function deployment using data envelopment analysisen
dc.typeArticleen
dc.identifier.journalOmegaen_GB
html.description.abstractQuality function deployment (QFD) is an important tool available to organizations for efficient product design and development. Traditionally, QFD rates the design requirements (DRs) with respect to customer needs, and aggregates the ratings to get relative importance scores of DRs. An increasing number of studies stress on the need to incorporate additional factors, such as cost and environmental impact, while calculating the relative importance of DRs. However, there is a paucity of methodologies for deriving the relative importance of DRs when several additional factors are considered. In this paper, data envelopment analysis (DEA) is suggested for the purpose. It is proved that the relative importance values computed by DEA coincide with traditional QFD calculations when only the ratings of DRs with respect to customer needs are considered, and when only one additional factor, namely cost, is considered. DEA provides a general framework facilitating QFD computations when more factors need to be considered. The calculations are explained using a step-by-step procedure and illustrations. The proposed QFD–DEA methodology is applied to the design of security fasteners for a Chinese company. Though traditional QFD calculations consider the ratings as cardinal numbers, DEA has the flexibility to treat the ratings as qualitative variables. This aspect is illustrated in a separate section.


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