Forecasting the design of eco-products by integrating TRIZ evolution patterns with CBR and Simple LCA methods

Cheng Jung Yang, Jahau Lewis Chen

研究成果: Article

68 引文 斯高帕斯(Scopus)

摘要

As is well known in biology, organisms adapt and evolve in response to their surrounding environments, a phenomenon similarly found in product development. Among the factors that may influence product changes include functional improvements, consumer habits, and the emergence of new technologies. Humans must develop products that impact the environment minimally to ensure sustainable living. This work presents a forecasting novel model to acquire innovative ideas more easily to design eco products, followed by evaluation of whether the new design is more effective than currently available ones in the concept design stage. The innovative approach to solving design problems is based on TRIZ evolution patterns, in which the index system of case-based reasoning connects the innovative idea to cases located in a database to accelerate the process. Finally, simple life cycle assessment is introduced to determine whether if the solution is better for the environment than the currently available ones. A novel eco-innovation concept for a cell phone is also presented to demonstrate the effectiveness of the proposed model.

原文English
頁(從 - 到)2884-2892
頁數9
期刊Expert Systems With Applications
39
發行號3
DOIs
出版狀態Published - 2012 二月 15

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Computer Science Applications
  • Artificial Intelligence

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