Effects of Design Parameters in Cost Estimation and Cost Uncertainty Modeling
Abstract
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. Copyright © 2011 by ASME.
Recommended Citation
K. Banga and S. Takai, "Effects of Design Parameters in Cost Estimation and Cost Uncertainty Modeling," Proceedings of the ASME Design Engineering Technical Conference, American Society of Mechanical Engineers (ASME), Jan 2011.
The definitive version is available at https://doi.org/10.1115/DETC2011-47886
Meeting Name
ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2011
Department(s)
Mechanical and Aerospace Engineering
Keywords and Phrases
Case-Based Reasoning; Clustering; Concept; Cost; Distribution; Histogram; Leave-One-Out Cross Validation
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2011 American Society of Mechanical Engineers (ASME), All rights reserved.
Publication Date
01 Jan 2011
