Analysis and Extraction of Consumer Information for the Evaluation of Design Requirement Depending on Consumer Involvement

Abstract

In the product design, identification of critical design requirements (DRs) is essential to the success of the product. Usually, DRs are rated according to CRs for allocating resources reasonably as well as improving consumer satisfaction. With the popularization of the Internet, consumers can involve in open design (OD) and describe their requirements freely. It is a challenge to rate DRs due to a great quantity of CRs that are expressed as free text in OD. In existing approaches, CRs are collected by the method of survey or questionnaire in the market, and it cannot amply reflect the CRs in OD. To this end, this paper focuses on analyzing CRs for rating DRs in OD. The CRs are captured and rated in OD by a group-organization approach and a fuzzy Delphi method. Based on the importance weight of CR, a machine learning approach and a fuzzy QFD method are proposed to rate DRs according to the expression of CRs in OD. A case study is presented to demonstrate the effectiveness of the method.