Journal
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
Volume 68, Issue 2, Pages 442-451Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TEM.2018.2864103
Keywords
Quality function deployment; Linguistics; Decision making; Manufacturing; Planning; Electric vehicles; Companies; Electric vehicle; extended hesitant fuzzy linguistic term set; prospect theory; quality function deployment
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Funding
- National Natural Science Foundation of China [61773250, 71671125, 71402090]
- Program for Shanghai Youth Top-Notch Talent
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This paper introduces a novel QFD method integrating EHFLTSs and prospect theory to overcome the limitations of traditional QFD. By using Choquet integral and extended prospect theory, the ranking orders of ECs are determined effectively.
Quality function deployment (QFD) is an efficient planning and problem-solving method to convert customer requirements (CRs) into the engineering characteristics (ECs) of a product or service. Nevertheless, in the traditional QFD, the assessment of relationships between CRs and ECs and the prioritization of ECs have been criticized for various reasons in previous studies. This paper aims to propose a novel QFD method integrating extended hesitant fuzzy linguistic term sets (EHFLTSs) and prospect theory to overcome the limitations of the traditional QFD. First, EHFLTSs are used for the elicitation of hesitant linguistic assessment information of QFD team members. Considering the interrelations between CRs, Choquet integral is applied to obtain the aggregated relationship evaluation results. An extended prospect theory is suggested to derive the ranking orders of ECs. Finally, the efficiency and effectiveness of the presented QFD method are illustrated by an example of an electric vehicle manufacturing company.
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