Abstract
Quality function deployment (QFD) is an effective method that helps companies analyze customer requirements (CRs). These CRs are then turned into product or service characteristics, which are translated to other attributes. With the QFD method, companies could design or improve the quality of products or services close to CRs. To increase the effectiveness of QFD, we propose an improved method based on Pythagorean fuzzy sets (PFSs). We apply an extended method to obtain the group consensus evaluation matrix. We then use a combined weight determining method to integrate former weights to objective weights derived from the evaluation matrix. To determine the exact score of each PFS in the evaluation matrix, we develop an improved score function. Lastly, we apply the proposed method to a case study on assembly robot design evaluation.
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This work was supported by the National Natural Science Foundation of China (Grant Nos. 71501135, 71771156), the 2018 Key Project of the Key Research Institute of Humanities and Social Sciences in Sichuan Province (Nos. Xq18A01, LYC18-02), the Electronic Commerce and Modern Logistics Research Center Program, the Key Research Base of Humanities and Social Science, Sichuan Provincial Education Department (No. DSWL18-2), and the Spark Project of Innovation at Sichuan University (No. 2018hhs-43), and the Scholarship from China Scholarship Council (No. 201706240012).
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Liao, H., Chang, Y., Wu, D. et al. Improved approach to quality function deployment based on Pythagorean fuzzy sets and application to assembly robot design evaluation. Front. Eng. Manag. 7, 196–203 (2020). https://doi.org/10.1007/s42524-019-0038-z
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DOI: https://doi.org/10.1007/s42524-019-0038-z