Building a computer-assisted process planning system using the hierarchical case-based reasoning approach

  • Authors:

  • Huan-Yu Lin;Jun-Ming Su;Shian-Shyong Tseng;Chi-Chun Hsu;Chung-Chao Ku;Jui-Pin Tsai

  • Affiliations:

  • Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan;Department of Information and Learning Technology, National University of Tainan, Tainan, Taiwan;Department of Applied Informatics and Multimedia, Asia University, Taichung, Taiwan;Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan;Mechanical and Systems Research Laboratories, Industrial Technology Research Institute, Hsinchu, Taiwan;Mechanical and Systems Research Laboratories, Industrial Technology Research Institute, Hsinchu, Taiwan

  • Venue:
  • Journal of Computational Methods in Sciences and Engineering
  • Year:
  • 2011

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Abstract

With recent globalization development in manufacturing industries, the traditional manufacturing strategy, Economies of Scale, is not suitable to meet the current globalization market. A significant challenge for the manufacturing sector is how to efficiently design manufacturing processes to meet the product customization. Manufacturing process design knowledge, at the product-level, process-level, and machine-level, is difficult to be managed and adopted by most existing computer-assisted process planning systems due to flat case structures and one-shot adaptation manners. Therefore, in this paper, a Hierarchical Case-Based Computer-Assisted Process Planning (HCB-CAPP) system is proposed, where manufacturing process design knowledge is represented by hierarchical case trees to manage the multi-level knowledge. Additionally, an interactive, multi-level case tree adaptation mechanism is proposed to assist designers in recursively retrieving and adapting case trees from product-level to machine-level to reuse and integrate previous design knowledge. According to the experimental result, novice designers agreed that this mechanism could realistically facilitate the manufacturing process design.