A similarity measurement framework of product-service system design cases based on context-based activity model. (February 2017)

• Record Type: Journal Article
• Authors: Wu, Yu; Lee, Ji-Hyun; Kim, Yong Se; Lee, Sang Won; Kim, Sun-Joong; Yuan, Xiaofang
• Is Part Of: Computers & industrial engineering. Volume 104(2017)
• Page Start: 68
• Page End: 79
• Publication Date: 2017-02
• Subjects: Product-service system -- Recommender system -- Case representation -- Case indexing -- Similarity measurement; Engineering -- Data processing -- Periodicals; Industrial engineering -- Periodicals; 620.00285
• DOI: 10.1016/j.cie.2016.12.015
• Languages: English
• ISSNs: 0360-8352

Abstract

Graphical abstract: Highlights: PSS design activities, designer, design object, tools and context, are represented. Built a PSS design knowledge representation framework and case retrieval methods. Validated the framework by the combination of quantitative and qualitative analysis. Abstract: Design experience from previous design cases could help designers solving current design problems. Therefore, a case-based recommender system can recall suitable design cases for designers based on a similarity measurement mechanism. In the context of Product-Service System (PSS) design, the measurement of similarity between different cases becomes more challenging because of the complex nature of the PSS design. In this research, we propose a similarity measurement framework of PSS design cases based on the context-based activity model. In the proposed framework, a PSS design case is indexed and quantified by design activity element, design process, and function requirement. Ways to measure similarity between design indexes and design cases are also specified. A case study along with an empirical validation was conducted to validate the framework.