Sharafi Masouleh, A., Dadgar, N. (2014). An integrated fuzzy multiple objective decision framework to optimal fulfillment of engineering characteristics in quality function development. International Journal of Information, Security and Systems Management, 3(2), 350-363.
Arash Sharafi Masouleh; Nasim Dadgar. "An integrated fuzzy multiple objective decision framework to optimal fulfillment of engineering characteristics in quality function development". International Journal of Information, Security and Systems Management, 3, 2, 2014, 350-363.
Sharafi Masouleh, A., Dadgar, N. (2014). 'An integrated fuzzy multiple objective decision framework to optimal fulfillment of engineering characteristics in quality function development', International Journal of Information, Security and Systems Management, 3(2), pp. 350-363.
Sharafi Masouleh, A., Dadgar, N. An integrated fuzzy multiple objective decision framework to optimal fulfillment of engineering characteristics in quality function development. International Journal of Information, Security and Systems Management, 2014; 3(2): 350-363.
An integrated fuzzy multiple objective decision framework to optimal fulfillment of engineering characteristics in quality function development
1Department of Information Technology management, Electronic Branch, Islamic Azad University, Tehran, Iran
2Department of executive master of business administration, Arak Branch, Islamic Azad University
Abstract
Quality function development (QFD) is a planning tools used to fulfill customer expectation and QFD is a systematic process to translating customer requirement (WHATs) into technical description (HOWs). QFD aims to maximize customer satisfactions related to enterprise satisfaction. The inherent fuzziness of relationships in QFD modeling justifies the use of fuzzy regression for estimating the relationships between both customer needs and engineering characteristics, and among engineering characteristics. This paper present a fuzzy multiple objective method to fulfillment of technical description to maximize customer satisfactions and also maximization of extendibility and minimization of technical difficulty of engineering criteria are another object of this proposed method. In this paper fuzzy regression is used to estimating relationship between customer requirement and technical descriptions. Meanwhile, the fuzzy logic and triangular fuzzy numbers are utilized to deal with vagueness of human thought. Furthermore, a case study is conducted to illustrate the stages of ISP suppliers.
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