On technology for functional requirement-based reference design retrieval in engineering knowledge management

  • Authors:

  • Yuh-Jen Chen;Yuh-Min Chen;Hui-Chuan Chu;Hao-Yun Kao

  • Affiliations:

  • Department of Accounting and Information Systems, National Kaohsiung First University of Science and Technology, Kaohsiung, Taiwan, ROC;Institute of Manufacturing Engineering, National Cheng Kung University, Tainan, Taiwan, ROC;Department of Special Education, National University of Tainan, Tainan, Taiwan, ROC;Department of Information Management, National Sun Yat-Sen University, Kaohsiung, Taiwan, ROC

  • Venue:
  • Decision Support Systems
  • Year:
  • 2008

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Abstract

Engineering design is a knowledge-intensive process, and includes conceptual design, detailed design, engineering analysis, assembly design, process design, and performance evaluation. Each of these tasks involves various aspects of technical knowledge and experience. Whether this technical knowledge and experience can be effectively shared is key to increasing product development capability and quality, and also to reducing the duration and cost of the development cycle. Consequently, providing engineering designers various query methods for retrieving engineering knowledge is one of the most important tasks in engineering knowledge management. The study develops a technology for functional requirement-based reference design retrieval as a decision support mechanism, which can assist engineering designers to retrieve relevant design and associated knowledge for reference in conducting functional requirements of a product. This study involves the following tasks: (i) designing a functional requirement-based reference design retrieval process, (ii) developing techniques related to the technology for functional requirement-based reference design retrieval, and (iii) implementing a functional requirement-based reference design retrieval mechanism. The retrieval process includes the steps of functional requirement-based query, case searching and matching, and case ranking. The technology involves (i) a structured query model for functional requirements, (ii) an index structures for historical design cases, (iii) functional requirement-based case searching and matching mechanisms, (iv) a functional requirement-based case ranking mechanism, and (v) a case-based representation of designed entities. Finally, the experimental example with indexing and retrieving similar designed entities is conducted to demonstrate the proposed techniques worked efficiently.