A combined fuzzy linear regression and fuzzy multiple objective programming approach for setting target levels in quality function deployment

Authors:
Zeynep Sener;E. Ertugrul Karsak
Affiliations:
Industrial Engineering Department, Galatasaray University, Ortakoy, Istanbul 80840, Turkey;Industrial Engineering Department, Galatasaray University, Ortakoy, Istanbul 80840, Turkey
Venue:
Expert Systems with Applications: An International Journal
Year:
2011

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Abstract

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.