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 language | English |
|---|---|
| Pages (from-to) | 68-79 |
| Number of pages | 12 |
| Journal | Computers and Industrial Engineering |
| Volume | 104 |
| DOIs | |
| State | Published - 1 Feb 2017 |
Keywords
- Case indexing
- Case representation
- Product-service system
- Recommender system
- Similarity measurement