دانلود مقاله ISI انگلیسی شماره 24330
ترجمه فارسی عنوان مقاله

رگرسیون خطی فازی در ترکیب و روش برنامه نویسی چند هدفه فازی برای تعیین سطح هدف در گسترش عملکرد کیفیت

عنوان انگلیسی
A combined fuzzy linear regression and fuzzy multiple objective programming approach for setting target levels in quality function deployment
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
24330 2011 8 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Expert Systems with Applications, Volume 38, Issue 4, April 2011, Pages 3015–3022

ترجمه کلمات کلیدی
گسترش عملکرد کیفیت - رگرسیون خطی فازی - برنامه نویسی هدف چند فازی - خانه کیفیت -
کلمات کلیدی انگلیسی
Quality function deployment, Fuzzy linear regression, Fuzzy multiple objective programming, House of quality,
پیش نمایش مقاله
پیش نمایش مقاله  رگرسیون خطی فازی در ترکیب و روش برنامه نویسی چند هدفه فازی برای تعیین سطح هدف در گسترش عملکرد کیفیت

Quality function deployment (QFD) is a systematic process for translating customer needs into engineering characteristics, and then communicating them throughout the enterprise in a way to ensure that details are quantified and controlled. 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. Albeit QFD aims to maximize customer satisfaction, requirements related to enterprise satisfaction such as cost budget, extendibility, and technical difficulty also need to be considered. This paper presents a fuzzy multiple objective decision framework that includes not only fulfillment of engineering characteristics to maximize customer satisfaction, but also maximization of extendibility and minimization of technical difficulty of engineering characteristics as objectives subject to a financial budget constraint to determine target levels of engineering characteristics in product design. A real-world quality improvement problem is presented to illustrate the application of the decision approach.