Beschreibung
In the Quality Function Deployment (QFD) process, determining the importance weights for the customer requirements is an essential and crucial process. The Analytic Hierarchy Process (AHP) has been used to determine the importance weights for product planning, but this has occurred mainly in crisp (non-fuzzy) decision applications. However, human judgment on the importance of customer requirements is always imprecise and vague. To make up for this deficiency in the AHP, a fuzzy AHP with an extent analysis approach is proposed to determine the importance weights for the customer requirements. In the method, triangular fuzzy numbers are used for the comparison of a fuzzy AHP. By using the extent analysis method and the principals for the comparison of fuzzy numbers, one can derive the weight vectors. The new approach can improve the imprecise ranking of customer requirements inherited from studies based on the conventional AHP. Furthermore, the fuzzy AHP with extent analysis is simple and easy to implement to prioritize customer requirements in the QFD process compared with the conventional AHP. The project uses an example of college to illustrate the proposed approach.
Autorenporträt
Dr. Rahul Kshetri has done his Ph.D. and M.Tech. from Govind Ballabh Pant University of Agriculture and Technology Pantnagar (U.S Nagar). He also earned bachelor's degree from Govind Ballabh Pant Engineering College Pauri Garhwal.
Herstellerkennzeichnung:
OmniScriptum SRL
Str. Armeneasca 28/1, office 1
2012 Chisinau
MD
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