Abstract
Case based design is an intelligent method which involves retrieving the most similar previous case to provide a solution of a new decision problem. However, conventional case based design approaches are too reliant on experts’ experiences. A new case retrieval method SOMEDGRA that combines Self-organizing map (SOM) and Euclidean distance (ED) method as well as Grey relational analysis (GRA) method is proposed in case based design. SOM is used to reduce the retrieval range and increase the retrieval efficiency, and ED is used to evaluate the similarity of cases comprehensively. To ensure that the final case has the best overall performance, an evaluation method of similar cases based on GRA is proposed to evaluate similar cases to select the most suitable case. The case study and result on an HTC series machine tool product show that the proposed method is effective, accurate and rapid in the process of product configuration.
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Recommended by Associate Editor Hyung Wook Park
Pengjia Wang, born in 1985, is currently a Ph.D. candidate at School of Mechanical Engineering and Automation, Northeastern University, China. He received his master degree from Northeastern University, China, in 2011. His research interests include modular design, rapid response design, CAD/CAM, CIMS, Manufacturing information and Product lifecycle management.
Yadong Gong, born in 1958, is currently a full professor at School of Mechanical Engineering and Automation, Northeastern University, China. He received his Ph.D. degree from Northeastern University, China, in 2004. His main research interests include grinding mechanism, rapid response design, digital manufacturing and micro-precision process.
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Wang, P., Gong, Y., Xie, H. et al. SOMEDGRA: A case retrieval method for machine tool product configuration design. J Mech Sci Technol 30, 3283–3293 (2016). https://doi.org/10.1007/s12206-016-0637-0
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DOI: https://doi.org/10.1007/s12206-016-0637-0