Soft Computing for Concurrent Product Design Evolution and Evaluation

Principal Investigator: Associate Professor Chen Chun-Hsien





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Last Update: Jan 2015


In this project, a computer-aided concurrent product design evolution and evaluation approach has been developed. With this method, a product can be designed and evaluated in terms of assemblability, manufacturability, and estimated costs simultaneously through a blackboard architecture. The latest technology and knowledge in soft computing, computer graphics, and knowledge engineering have been investigated and employed to deal with the problems encountered. To validate the proposed approach, a concurrent design evaluation system (CONDENSE) was developed and implemented with a wood golf club head design case study. Basically, CONDENSE is a collaborative knowledge-based system with blackboard architecture that will help the product designers in evaluating possible design solutions and design alternatives during the conceptual design phase without sacrifice designers’ creativity. CONDENSE has been validated in three aspects: consistency and completeness of the rule bases, advantages of the blackboard architecture, and performance in assisting the design of a wood golf club head. The results are promising and indicate the potential of the system. The figures below show a framework of CONDENSE (left) and a case study (right).



  1. Chen, C.-H. and L.G. Occeña. (1999). “A Knowledge Sorting Process for a Product Design Expert System,” Expert Systems, 16(3), 170-182.
  2. Chen, C.-H. and L.G. Occeña. (2000) “Knowledge Decomposition for a Product Design Blackboard Expert System,” Artificial Intelligence in Engineering, 14(1), 71-82.
  3. Chen, C.-H., L.G. Occeña, S.C. Fok. (2001). “CONDENSE – a Concurrent Design Evaluation System for Product Design,” International Journal of Production Research, 39(3), 413-433.
  4. Chen, C.-H., T. Wu and L.G. Occeña. (2002). “Knowledge Organisation of Product Design Blackboard Systems via Graph Decomposition,” Knowledge-Based Systems, 15(7), 423-435.
  5. Qiu, S.L., S.C. Fok, C.-H. Chen and S. Xu. (2002). “Conceptual Design Using Evolutionary Strategy,” International Journal of Advanced Manufacturing Technology, 20(9), 683-691.
  6. Chen, C.-H. and Z.M. Rao. (2008). “MRM: A matrix representation and mapping approach for knowledge acquisition,” Knowledge-Based Systems, 21(4), 284-293.