Manufacturing is currently undergoing a fourth industrial revolution, referred to as Industry 4.0, enabled by digital technologies and advances in our ability to collect and use data. Quality 4.0 is the application of Industry 4.0 to enhance the quality function within an organization. Quality practitioners are uniquely positioned within organizations and already possess data application skillsets. Despite a perception that Quality 4.0 will be critical to future success shared by a majority of industry, most companies have not attempted to implement Quality 4.0 strategy, and those that have report very low rates of success. The goal of this study was to understand the challenges and key factors behind implementation of a Quality 4.0 system and develop a model for implementation, highlighting those key factors. The model was developed through literature review, case study analysis, and expert interviews. The model indicated that four main constructs exist in Quality 4.0 deployment, digital strategy, enabling factors, methodologies, and technology. A top-level strategy should be developed to address key technology development themes as well as nontechnical business process themes. Strategy should then be executed in the domain of enabling factors and methodologies with a clear technology application serving as the output. A successful Quality 4.0 implementation will use the technology application to drive tangible quality improvement activities which add value to the business.
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Doctor of Philosophy (Ph.D.)
College of Engineering and Computer Science
Industrial Engineering and Management Systems
Length of Campus-only Access
Doctoral Dissertation (Open Access)
Jones, Thomas, "A Conceptual Model for Quality 4.0 Deployment in U.S. Based Manufacturing Firms" (2023). Electronic Theses and Dissertations, 2020-. 1584.