an integrated fuzzy multiple objective decision framework to optimal fulfillment of engineering characteristics in quality function development

نویسندگان

arash sharafi masouleh

nasim dadgar

چکیده

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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An integrated fuzzy multiple objective decision framework to optimal fulfillment of engineering characteristics in quality function development

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عنوان ژورنال:
international journal of information, security and systems management

ناشر: islamic azad university e-branch

ISSN 2251-9335

دوره 3

شماره 2 2014

میزبانی شده توسط پلتفرم ابری doprax.com

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