Knowledge : Based Virtual Product Design Decision Support System

• Autorzy: Ritu W. , Ping L. , Juxian Y. , Lianjun D.
• Konferencja: Sino-Polish Conference on CAD in Machinery (12 ; 10.2003 ; Warsaw, Poland)
• Języki publikacji: EN

Abstrakty

EN

Modern product design process is a highly complex fluxion process of information and knowledge. Therefore, research on how to develop a decision support system being capable of integrating distributed and heterogeneous knowledge would attribute significantly to product development. This paper proposes a product design knowledge supply chain based on view of characteristics of design knowledge. With design repository as it's hardcore, the architecture of integrate product design decision support system is identified. It then sheds more lights on how developing a suitable product design decision support system in web environment according to every participant's requirement during the whole design process. The corresponding modules of such a system are outlined. By integrating different knowledge system, designer not only take advantage of product information and design experience knowledge accumulated in the past, but also can design creative product by utilizing various kinds of computer aided decision system. A primary decision support system of human - machine incorporate optimization for flexible assembly system has been implemented as an example. The whole optimal decision support system can integrate the intelligence of design examples, experts, designer and computer, and it also can support designer utilize the all knowledge resource to design.

Słowa kluczowe

EN

product development; decision support system; design knowledge

• Wydawca: Oficyna Wydawnicza Politechniki Warszawskiej
• Czasopismo: Machine Dynamics Problems
• Rocznik: 2003
• Tom: Vol. 27, No. 4
• Strony: 65--72
• Opis fizyczny: Bibliogr. 8 poz.

Twórcy

autor

Ritu W.

• Inner Mongolia Polytechnic University, Hohhot China

autor

Ping L.

• Inner Mongolia Polytechnic University, Hohhot China

autor

Juxian Y.

• Inner Mongolia Polytechnic University, Hohhot China

autor

Lianjun D.

• Factory of Gas Engine, Xin Xiang Henan, China

Bibliografia

• 1. Szykman, S., Racz, J., Bochenek, C., et al. 2000, A Web-Based System for Design Artifact Modeling, Design Studies, 21, 145-165.
• 2. Noha, J.B., Leeb, K.C., Kimc, J.K., 2000, A Case-based Reasoning Approach to Cognitive Map-Driven Tacit Knowledge Management, Expert Systems with Applications, 19, 249-259.
• 3. Cunngham, P., Bonzano, A., 1999, Knowledge Engineering Issues in Developing a Case- based Reasoning Application, Knowledge-based Systems, 12, 371-379.
• 4. Slonim, T.Y., Schneider, M., 2001, Design lssues in Fuzzy Case - based Reasoning, Fuzzy Sets and Systems, 117, 251-267.
• 5. Shin K.S., Hani, 2001, A Case - Based Approach Using Inductive lndexing for Corporate Bond Rating, Decision Support Systems, 32, 41-52.
• 6. Felix, T.S., Chan, Jiang, B., Nelson, K.H. Tang et al., 2000, The Development of lntelligent Decision Support Tools to Aid the Design of Flexible Manufacturing Systems, Int. J. Production Economics, 65, 73-84.
• 7. Hardinga, J.A., Popplewella, K., 2001, An Intelligent lnformation Framework Relating Customer Requirements and Product Characteristics, Computers in lndustry, 44, 51-65.
• 8. Guoyan, Y., 2001, Study on Methods of Human-Machine lncorporate Optimization Design for Flexible Assembly System (in Chinese), 7.