Volume 17, Issue 1 (3-2020)                   jor 2020, 17(1): 1-23 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Raoofian A, Azar A, Khodadad Hoseini H. Using Linear Physical Programming in Optimizing Fuzzy Quality Function Deployment. jor 2020; 17 (1) :1-23
URL: http://jamlu.liau.ac.ir/article-1-1863-en.html
Using Linear Physical Programming in Optimizing Fuzzy Quality Function Deployment
A. Raoofian , A. Azar * , H. Khodadad Hoseini
Department of Industrial Management, Tarbiat Modares University, Tehran, Iran
Abstract:   (2728 Views)
Quality function deployment (QFD) is a customer-driven quality management and product development system for achieving higher customer satisfaction. It is necessary to determine relationships between customer requirements (CRs) and technical requirements (TRs), as well as correlation among the TRs themselves. Such data are usually ambiguous and fuzzy and people have different judgments about these relations. In this research, to cope with the vague nature of the product development process, a fuzzy group decision-making approach in QFD has been suggested. Also an integrated framework based on QFD and linear physical programming is proposed to determine the fulfillment level of TRs and to maximize overall customer satisfaction. At last, an application for a specific product in ESFARAYEN INSUSTERIAL COMPLEX, which produces heavy steel parts, is presented to illustrate the proposed approach. The results of the model show the optimal level of each technical requirement as well as the allocated budget to each of them so that customer satisfaction of the manufactured product based on four customer requirements has been within ideal and desirable ranges.
Keywords: Quality Function Deployment, House of Quality, Fuzzy Expected Value Operator, Linear Physical Programming, Fuzzy Triangular Numbers
Full-Text [PDF 1090 kb]   (816 Downloads)    
Type of Study: Research | Subject: Special
Received: 2019/05/1 | Accepted: 2020/01/25 | Published: 2020/03/29
Add your comments about this article : Your username or Email:
CAPTCHA
Send email to the article author

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.