Using Linear Physical Programming in Optimizing Fuzzy Quality Function Deployment

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Raoofian A.; AZAR A.; Khodadad Hoseini H.

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Journal: Journal of Operational Research in its Applications Year:2020 | Volume:17 | Issue:1 (64) Page(s): 1-23

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Title

Using Linear Physical Programming in Optimizing Fuzzy Quality Function Deployment

Author(s)

Raoofian A. | AZAR A. | Khodadad Hoseini H. | Issue Writer Certificate

Keywords

Quality Function DeploymentQ1

House of QualityQ1

Fuzzy Expected Value OperatorQ1

Linear Physical ProgrammingQ1

Fuzzy Triangular NumbersQ2

Abstract

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.

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APA: Copy

Raoofian, A., AZAR, A., & Khodadad Hoseini, H.. (2020). Using Linear Physical Programming in Optimizing Fuzzy Quality Function Deployment. JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS), 17(1 (64) ), 1-23. SID. https://sid.ir/paper/164684/en

Vancouver: Copy

Raoofian A., AZAR A., Khodadad Hoseini H.. Using Linear Physical Programming in Optimizing Fuzzy Quality Function Deployment. JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS)[Internet]. 2020;17(1 (64) ):1-23. Available from: https://sid.ir/paper/164684/en

IEEE: Copy

A. Raoofian, A. AZAR, and H. Khodadad Hoseini, “Using Linear Physical Programming in Optimizing Fuzzy Quality Function Deployment,” JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS), vol. 17, no. 1 (64) , pp. 1–23, 2020, [Online]. Available: https://sid.ir/paper/164684/en

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