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Dissertation/Thesis Abstract

Lean Six Sigma Methodology Used to Improve Machine Availability in a Manufacturing Process
by Huval, Ory P., M.S., University of Louisiana at Lafayette, 2016, 61; 10247041
Abstract (Summary)

This research lays out a strategic process improvement plan that can be used for similar processes that have machine availability problems. Lean Six Sigma will be used as the primary source of tools and methodology for implementation of a successful process improvement. A case study is used to show a successful implementation of the Lean Six Sigma DMAIC approach, how statistical analysis can be used to identify the problem area, and how statistical tools are used to see if improvements are significant. This approach uniquely identifies on what areas to focus attention to gain a better understanding of where the root of the problem occurs. By using the Lean Six Sigma DMAIC method, a systematic process is established to make a significant positive change to the process’ machine availability, which increased production and revenue. Several statistical and problem solving tools from Lean Six Sigma were used in this study, which aided in analyzing and implementing process improvements in the process to reach a savings of $618,884.00.

Indexing (document details)
Advisor: Lee, Jimm, Dupuy, Corinne
Commitee: Houston, Shelton, Khattab, Ahmed
School: University of Louisiana at Lafayette
Department: Systems Engineering
School Location: United States -- Louisiana
Source: MAI 56/05M(E), Masters Abstracts International
Subjects: Sustainability, Systems science
Keywords: DMAIC method, Lean Six Sigma, Machine availability, Process improvement
Publication Number: 10247041
ISBN: 978-0-355-11324-2
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