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THE IDENTIFICATION, VALIDATION, AND MODELING OF CRITICAL
PARAMETERS IN LEAN SIX SIGMA IMPLEMENTATIONS
by
Arthur J. Dhallin
A Dissertation Presented to the
FACULTY OF THE USC GRADUATE SCHOOL
UNIVERSITY OF SOUTHERN CALIFORNIA
In Partial Fulfillment of the
Requirements for the Degree
DOCTOR OF PHILOSOPHY
(INDUSTRIAL AND SYSTEMS ENGINEERING)
May 2011
Copyright 2011 Arthur J. Dhallin
Object Description
| Title | The identification, validation, and modeling of critical parameters in lean six sigma implementations |
| Author | Dhallin, Arthur James |
| Author email | artdhallin@gmail.com; dhallin@usc.edu |
| Degree | Doctor of Philosophy |
| Document type | Dissertation |
| Degree program | Industrial & Systems Engineering |
| School | Viterbi School of Engineering |
| Date defended/completed | 2011-02-14 |
| Date submitted | 2011 |
| Restricted until | Unrestricted |
| Date published | 2011-05-04 |
| Advisor (committee chair) | Settles, F. Stan |
| Advisor (committee member) |
Moore, James E. Kumar, K. Ravi Friedman, George Meshkati, Najmedin |
| Abstract | The objective of the research project discussed in this document was to develop a theoretical and empirical model that could be used to predict the results of Lean Six Sigma implementation efforts in a knowledge-intensive environment. Some previous research had attempted to develop a theoretical model for quality management. However, the results were narrowly focused around specific tools and emphasized manufacturing environments. This research project developed a generalized manner in which any process could be modeled using the people, process activities, customer, and information sharing elements to describe it. Processes modeled in this manner can then be assessed with respect to Lean Six Sigma implementations and the results of the implementation hypothesized.; To identify potential constructs and variables that operationalize the constructs, a comprehensive literature survey was conducted across a range of academic disciplines. These items were then posed to a series of expert practitioners and evaluated using factor analysis techniques, resulting in statistically validated theoretical constructs that describe a process's susceptibility to process improvement. Finally, historical data from Lean Six Sigma implementations was used to create a valid model from which the return on investment for proposed Lean Six Sigma project could by predicted. |
| Keyword | lean six sigma; process modeling; quality constructs; quality management |
| Language | English |
| Part of collection | University of Southern California dissertations and theses |
| Publisher (of the original version) | University of Southern California |
| Place of publication (of the original version) | Los Angeles, California |
| Publisher (of the digital version) | University of Southern California. Libraries |
| Provenance | Electronically uploaded by the author |
| Type | texts |
| Legacy record ID | usctheses-m3898 |
| Rights | Dhallin, Arthur James |
| Repository name | Libraries, University of Southern California |
| Repository address | Los Angeles, California |
| Repository email | http://www.usc.edu/isd/libraries/services/ask_a_librarian/email/ |
| Filename | etd-Dhallin-4546 |
| Archival file | uscthesesreloadpub_Volume32/etd-Dhallin-4546.pdf |
Description
| Title | Page 1 |
| Full text | THE IDENTIFICATION, VALIDATION, AND MODELING OF CRITICAL PARAMETERS IN LEAN SIX SIGMA IMPLEMENTATIONS by Arthur J. Dhallin A Dissertation Presented to the FACULTY OF THE USC GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Fulfillment of the Requirements for the Degree DOCTOR OF PHILOSOPHY (INDUSTRIAL AND SYSTEMS ENGINEERING) May 2011 Copyright 2011 Arthur J. Dhallin |
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