Skip to Main Content
Frequently Asked Questions
Submit an ETD
Global Search Box
Need Help?
Keyword Search
Participating Institutions
Advanced Search
School Logo
Files
File List
wright1169057769.pdf (1.87 MB)
ETD Abstract Container
Abstract Header
Multi-Attribute Optimization Based on Conjoint Analysis
Author Info
Amarchinta, Hemanth K.
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=wright1169057769
Abstract Details
Year and Degree
2007, Master of Science in Engineering (MSEgr), Wright State University, Mechanical Engineering.
Abstract
Over the last thirty years, there were tremendous advances in multidisciplinary design optimization in reducing computational cost, developing algorithms for efficient sensitivity analysis in reaching an optimum. Most of these efforts assumed a single objective (attribute) function and a multitude of constraints. Very little work has been done in including the designer's preferences as part of the optimization scheme and in addressing the ability to handle multiple attributes simultaneously. This need to develop a systematic method for including designer's preferences is the main focus of this research work. The concept of modeling preferences among multi-attribute alternatives is prevalent in consumer product marketing, and the current work adopts a widely used marketing method known as conjoint analysis. This method is often implemented to assess the individual part-worth of the attributes, which provides insightful knowledge of the products and is then further used to create new products in the market. Conjoint analysis can be integrated with optimization techniques for engineering applications. In this work, a novel method of combining advances from management science and engineering disciplines is implemented. Details about the conjoint analysis algorithm is discussed with an example of designing a pizza. Furthermore, the method is applied to structural engineering applications such as a cantilever beam, a fixed plate, and a composite lightweight torpedo demonstrating the advantages of the method.
Committee
Ramana Grandhi (Advisor)
Pages
84 p.
Subject Headings
Engineering, Mechanical
Keywords
Attribute
;
Conjoint Analysis
Recommended Citations
Refworks
EndNote
RIS
Mendeley
Citations
Amarchinta, H. K. (2007).
Multi-Attribute Optimization Based on Conjoint Analysis
[Master's thesis, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1169057769
APA Style (7th edition)
Amarchinta, Hemanth.
Multi-Attribute Optimization Based on Conjoint Analysis.
2007. Wright State University, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=wright1169057769.
MLA Style (8th edition)
Amarchinta, Hemanth. "Multi-Attribute Optimization Based on Conjoint Analysis." Master's thesis, Wright State University, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=wright1169057769
Chicago Manual of Style (17th edition)
Abstract Footer
Document number:
wright1169057769
Download Count:
2,323
Copyright Info
© 2006, all rights reserved.
This open access ETD is published by Wright State University and OhioLINK.