A similarity measurement framework of product-service system design cases based on context-based activity model

  • Yu Wu
  • , Ji Hyun Lee
  • , Yong Se Kim
  • , Sang Won Lee
  • , Sun Joong Kim
  • , Xiaofang Yuan

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

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.

Original languageEnglish
Pages (from-to)68-79
Number of pages12
JournalComputers and Industrial Engineering
Volume104
DOIs
StatePublished - 1 Feb 2017

Keywords

  • Case indexing
  • Case representation
  • Product-service system
  • Recommender system
  • Similarity measurement

Fingerprint

Dive into the research topics of 'A similarity measurement framework of product-service system design cases based on context-based activity model'. Together they form a unique fingerprint.

Cite this