Customer-oriented product design: an integrated decision framework with sentiment analysis and optimisation model

Abstract

In the context of Big Data and Business Intelligence, how to timely mine customer requirements (CRs) and accurately incorporate them into product design is of great significance, while the research concerning this issue is relatively scarce. The purpose of this study is to develop an integrated decision framework with sentiment analysis and optimisation model for customer-oriented product design. In the framework, CRs are firstly extracted by the proposed crawling and mining algorithms, and then they are transferred into corresponding product features (PFs) and product feature specifications (PFSs) based on the idea of QFD. Next, through the consideration of the customer sentiments and the psychological and behavioural factors, the achievements of PFSs towards CRs are measured. Further, a multi-objective product design optimisation model is constructed to generate desirable design schemes. The proposed framework is applied in the design of elderly smart bracelets. The feasibility and effectiveness of the framework are proved.

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