Case-based reasoning (CBR) is an approach which uses old cases/experiences to understand and solve new problems. In CBR, a previous case similar to the current case is used to generate a solution for the current case and usually involves adaptation of the generated solution to suit the current case. The CBR approach consists of creating a knowledge-base (or database) containing past cases (products), defining a new case, retrieving cases similar to the new case, and adjusting the solution (cost) of the retrieved cases to the new case. This paper compares CBR approach with regression analysis approach in studying the effects of varying design attribute specifications on cost estimation accuracy and cost distribution reliability. These approaches are compared and effects of defining a concept with varying design attribute specifications are studied by applying leave-one-out cross-validation to a knowledge-base of automobiles.
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ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
August 28–31, 2011
Washington, DC, USA
Conference Sponsors:
- Design Engineering Division and Computers and Information in Engineering Division
ISBN:
978-0-7918-5486-0
PROCEEDINGS PAPER
Effects of Design Parameters in Cost Estimation and Cost Uncertainty Modeling
Karan Banga,
Karan Banga
Missouri University of Science and Technology, Rolla, MO
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Shun Takai
Shun Takai
Missouri University of Science and Technology, Rolla, MO
Search for other works by this author on:
Karan Banga
Missouri University of Science and Technology, Rolla, MO
Shun Takai
Missouri University of Science and Technology, Rolla, MO
Paper No:
DETC2011-47886, pp. 815-825; 11 pages
Published Online:
June 12, 2012
Citation
Banga, K, & Takai, S. "Effects of Design Parameters in Cost Estimation and Cost Uncertainty Modeling." Proceedings of the ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 9: 23rd International Conference on Design Theory and Methodology; 16th Design for Manufacturing and the Life Cycle Conference. Washington, DC, USA. August 28–31, 2011. pp. 815-825. ASME. https://doi.org/10.1115/DETC2011-47886
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