Determination of Target Values of Engineering Characteristics in QFD Using Uncertain Programming
نویسندگان
چکیده
*Correspondence: [email protected] 1School of Management, Shanghai University, 99 Shangda Road, 200444 Shanghai, China Full list of author information is available at the end of the article Abstract Quality function deployment (QFD) is a new product development tool remarked with interpreting customer requirements into engineering characteristics of the design process. On account of the inherent imprecise and uncertain elements in the weights of customer requirements, the relationships between customer requirements and engineering characteristics, and the correlations among engineering characteristics, uncertain variables are preferred to be applied in this paper. By taking advantage of expected value modelling to determine the target values of engineering characteristics in handling different practical design scenarios, two uncertain programming models are proposed for optimizing the QFD process in an uncertain environment. Subsequently, the proposed uncertain models are implemented in a motor car design for quality development.
منابع مشابه
Integration of QFD, AHP, and LPP methods in supplier development problems under uncertainty
Quality function deployment (QFD) is a customer-driven approach, widely used to develop or process new product to maximize customer satisfaction. Last researches used linear physical programming (LPP) procedure to optimize QFD; however, QFD issue involved uncertainties, or fuzziness, which requires taking them into account for more realistic study. In this paper, a set of fuzzy data is used to ...
متن کاملDetermination of target values of engineering characteristics in QFD using a fuzzy chance-constrained modelling approach
Quality function deployment (QFD) is a method used for the manufacturing process of a product or service that is devoted to transforming customer requirements (CRs) into appropriate engineering characteristics (ECs) by specifying the importance of the ECs and then setting their target values. Confronting the inherent vagueness or impreciseness in the QFD process, we embed the fuzzy set theory i...
متن کاملA Fuzzy Mixed-integer Goal Programming Model for Determining an Optimal Compromise Mix of Design Requirements in Quality Function Deployment
Quality function deployment is a well-known customer-oriented design procedure for translating the voice of customers into a final production. This is a way that higher customer satisfaction is achieved while the other goals of company may also be met. This method, at the first stage, attempts to determine the best fulfillment levels of design requirements which are emanated by customer needs. ...
متن کاملA DSS-Based Dynamic Programming for Finding Optimal Markets Using Neural Networks and Pricing
One of the substantial challenges in marketing efforts is determining optimal markets, specifically in market segmentation. The problem is more controversial in electronic commerce and electronic marketing. Consumer behaviour is influenced by different factors and thus varies in different time periods. These dynamic impacts lead to the uncertain behaviour of consumers and therefore harden the t...
متن کاملAn integrated fuzzy multiple objective decision framework to optimal fulfillment of engineering characteristics in quality function development
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 r...
متن کامل