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dc.contributor.advisorWeheba, Gamal
dc.contributor.authorMerriman, Roger A.
dc.date.accessioned2021-08-25T16:09:32Z
dc.date.available2021-08-25T16:09:32Z
dc.date.issued2021-07
dc.identifier.otherd21025
dc.identifier.urihttps://soar.wichita.edu/handle/10057/21739
dc.descriptionThesis (Ph.D.)-- Wichita State University, College of Engineering, Dept. of Industrial, Systems, and Manufacturing Engineering
dc.description.abstractIn 1931, Walter Shewhart introduced his work in statistical process control (SPC) through his book, Economic Control of Quality of Manufactured Product. A common confusion in the use of SPC is that it does not fit every business or industry. Since Shewhart’s work was published, various companies and industries have implemented such practices as a method to control their manufacturing quality of product, service quality and design quality. In 2017, a supply chain quality organization from a well-known business jet manufacturer discovered that vendors of its supply base were posting ostensibly statistical process control charts on metric walls in their facilities. The charts were not error free. Out of date data placed on the charts, the preponderance appeared to be weeks or months old, and incorrect use of control and specification limits indicated there might be a gap. The purpose of this research was to discover why businesses in the aviation industry are not taking advantage of SPC practices and methodologies. To identify the potential barriers inhibiting the deployment or growth of SPC implementations in the aviation industry, data from a survey of members of the aviation supply base was paired with a review of existing literature. The major challenges to implementing SPC in the aviation supply base were recognized as leadership commitment, cultural mindset and behaviors, understanding the benefits of SPC, and a lack of knowledge. A conceptual framework for the implementation and training systems was constructed after the barriers and gaps were identified. A recommendation for sustaining the system is also proposed.
dc.format.extentxiv, 90 pages
dc.language.isoen_US
dc.publisherWichita State University
dc.rights© Copyright 2021 by Roger Alan Merriman II All Rights Reserved
dc.subject.lcshElectronic dissertation
dc.titleStatistical process control implementations within the aviation industry
dc.typeDissertation


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