Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/147183
Authors: 
Shad, Zahra
Roghanian, Emad
Mojibian, Fatemeh
Year of Publication: 
2014
Citation: 
[Journal:] Journal of Industrial Engineering International [ISSN:] 2251-712X [Volume:] 10 [Year:] 2014 [Pages:] 1-8
Abstract: 
Quality function deployment (QFD) is a customer-driven approach, widely used to develop or process new product in order to maximize customer satisfaction. Last researches used linear physical programming (LPP) procedure to optimize QFD; however, QFD issue involved uncertainties, or fuzziness, which requires taking them into account for more realistic study. In this paper a set of fuzzy data is used to address linguistic values parameterized by triangular fuzzy numbers. The proposed integrated approach includes analytic hierarchy process (AHP), QFD, and LPP to maximize overall customer satisfaction under uncertain conditions and apply them in the supplier development problem. The fuzzy AHP (FAHP) approach is adopted as a powerful method to obtain the relationship between the customer requirements (CRs) and engineering characteristics (ECs) to construct the house of quality (HOQ) in QFD method. LPP is used to obtain the optimal achievement level of the ECs and subsequently the customer satisfaction level under different degrees of uncertainty. The effectiveness of proposed method will be illustrated by an example.
Subjects: 
Quality function deployment
Fuzzy
Analytic hierarchy process
Linear physical programming
Supplier development
Persistent Identifier of the first edition: 
Creative Commons License: 
http://creativecommons.org/licenses/by/2.0/
Document Type: 
Article

Files in This Item:
File
Size
642.03 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.