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Massachusetts Institute of Technology

A multi-attribute value assessment method for the early product development phase with application to the business airplane industry

Abstract

dc:description.abstract

(cont.) market. The method is also used to extract quantitative evidence indicating the existence of enterprise-related attributes for consumer value in products. Marking the first independent review of the loss function-based value method, this study finds that the Relative Value Index is superior to existing value methods at retaining simplicity of implementation and minimal data requirements while maintaining a firm grounding in economics and consumer choice theory. The method is shown to be useful for estimation, though robustness of the results is not certain when used in this manner, and may also be extended to the analysis of large-scale engineering systems and their value to society.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Engineering Systems Division.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2005

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Downen, Troy Douglas
Advisor dc:contributor.advisor
  • Deborah J. Nightingale.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
en_US

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/28839
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/28839

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Downen, Troy Douglas. A multi-attribute value assessment method for the early product development phase with application to the business airplane industry. Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/28839