Date of Award
Spring 2002
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Mechanical & Aerospace Engineering
Program/Concentration
Mechanical Engineering
Committee Director
Han P. Bao
Committee Member
Sebastian Bawab
Committee Member
Gene Hou
Committee Member
Resit Unal
Abstract
A major drawback of current cost estimation models is their incapability of embracing effectively complete product development stage. Parametric estimation works well in early stages of design, but in detail design stage, a more complete estimation is provided by process model based and detail estimation techniques. A major paradigm shift is proposed in this work whereby ‘Cost’ is to be considered as a design parameter from scientific perspective, and it is to be treated as a design consequence rather than as an operational outcome. A comprehensive framework using System Analysis fundamentals is designed to study ‘Process Cost’ aspects of part or design. The work gives detailed implementation of this new approach for objects manufactured largely by milling operation. The thesis also suggests a methodology to extend this approach to other operations. The proposed Generic Cost Estimation Model shows good agreement with cost estimation by commercial estimation software. It also promises integration of ‘Cost’ with other disciplines in Multidisciplinary Optimization and Collaborative Engineering. The integration is achievable through new technologies like API, OLE and similar interface tools.
Rights
In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
DOI
10.25777/f9t4-5x21
ISBN
9780493713083
Recommended Citation
Kilkami, Uday A..
"Generic Cost Estimation Framework for Design and Manufacturing Evaluation"
(2002). Doctor of Philosophy (PhD), Dissertation, Mechanical & Aerospace Engineering, Old Dominion University, DOI: 10.25777/f9t4-5x21
https://digitalcommons.odu.edu/mae_etds/242