"This thesis presents case-based reasoning approach for estimating the cost and modeling cost uncertainty of a new product in the concept selection stage. Case-based reasoning (CBR) is an approach which uses old cases/experiences to understand and solve new problems. The CBR approach consists of creating a knowledge-base (or database) containing past cases (products), defining a new case (concept), retrieving cases similar to the new case, and adjusting the solution of the retrieved cases to the new case. The first paper compares case-based reasoning, in studying the effects of varying design attribute specifications on cost estimation accuracy and cost distribution reliability. Case-based reasoning with cost estimation is compared with three methods: analogy-based cost estimation, case-based reasoning without cost adjustment, and regression analysis. Four automobile concepts with similar performance attribute specifications but varying design attribute specifications are defined and the comparison is made using leave-one-out cross-validation technique to a knowledge-base of 345 automobiles. The second paper further establishes case-based reasoning with cost adjustment by studying the optimum number of design attributes for specifying a concept. The results show that case-based reasoning and with cost adjustment performed best for cost estimation accuracy and cost distribution reliability when one design attribute is specified for the concept in addition to performance attributes"--Abstract, page iv.
Liou, Frank W.
Mechanical and Aerospace Engineering
M.S. in Mechanical Engineering
Missouri University of Science and Technology
Journal article titles appearing in thesis/dissertation
- Comparison of cost estimation and cost uncertainty modeling approaches
- Optimum number of design attributes for cost estimation and cost uncertainty modeling
x, 78 pages
© 2010 Karan Banga, All rights reserved.
Thesis - Open Access
Library of Congress Subject Headings
Automobiles -- Design
Manufacturing processes -- Dosts -- Estimates
Print OCLC #
Electronic OCLC #
Link to Catalog Recordhttp://laurel.lso.missouri.edu/record=b8228712~S5
Banga, Karan, "A comparison of case-based reasoning and regression analysis approaches for cost uncertainty modeling" (2010). Masters Theses. 4986.