An integrated supplier selection methodology incorporating QFD and DEA with imprecise data
作者:
Highlights:
• A novel fuzzy decision framework that integrates QFD and DEA is presented for supplier selection.
• The proposed approach incorporates imprecise data into the analysis using linguistic variables.
• Both relationships among product features and supplier attributes (SAs), and dependencies among SAs are considered.
• FWA is used to compute the lower and upper bounds of the weights of SAs utilizing the data from the HOQ.
• DEA is implemented using weights of SAs computed by FWA and supplier ratings with respect to SAs.
摘要
•A novel fuzzy decision framework that integrates QFD and DEA is presented for supplier selection.•The proposed approach incorporates imprecise data into the analysis using linguistic variables.•Both relationships among product features and supplier attributes (SAs), and dependencies among SAs are considered.•FWA is used to compute the lower and upper bounds of the weights of SAs utilizing the data from the HOQ.•DEA is implemented using weights of SAs computed by FWA and supplier ratings with respect to SAs.
论文关键词:Decision support,Supplier selection,Quality function deployment,Data envelopment analysis,Fuzzy weighted average
论文评审过程:Available online 18 June 2014.
论文官网地址:https://doi.org/10.1016/j.eswa.2014.06.020