Cost engineering with quality function deployment
ICC&IE Selected papers from the 22nd ICC&IE conference on Computers & industrial engineering
Computers and Industrial Engineering
Using the analytic network process (ANP) in a SWOT analysis - A case study for a textile firm
Information Sciences: an International Journal
Improvement of 3P and 6R mechanical robots reliability and quality applying FMEA and QFD approaches
Robotics and Computer-Integrated Manufacturing
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Quality function deployment (QFD) is a customer-oriented design approach in processing new product developments in order to reach maximum customer satisfaction. Design requirements (DRs) and part characteristics are important decision making problems during QFD activity processes for new product development. Here a Fuzzy decision-making system (FDMS) considering customer needs (CNs) as factors is proposed to formulate the problem. The structure of the FDMS is based on fuzzy control rules. Thus, CNs are determined as input variables and fuzzified using membership function concept. Weights of these factors are then fuzzified to ensure the consistency of the decision maker when assigning the importance of each factor over another. By applying IF-THEN decision rules, DRs of the firm are scored. This paper also uses Fuzzy analytic-network process (FANP) to determine the fulfillment levels of DRs of the firm. The comparison of FDMS with Fuzzy analytical network process (FAHP) is also presented.