Systems Engineering Gap Analysis for Aerospace Digitization
- Conference
- Location
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Arlington, TX, Texas
- Publication Date
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March 9, 2025
- Start Date
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March 9, 2025
- End Date
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March 11, 2025
- Page Count
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2
- DOI
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10.18260/1-2--55080
- Permanent URL
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https://peer.asee.org/55080
- Download Count
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7
Paper Authors
Pedro Cordeiro Povoa Cupertino Wichita State University
PEDRO CORDEIRO POVOA CUPERTINO is pursuing a BS in Aerospace Engineering at Wichita State University. He is a Research Assistant and CAD (Computer Aided Design) Instructor at the National Institute for Aviation Research, with research interests in Lean, CAD/CAM, Systems Engineering, Project Management, and Entrepreneurship. (ORCID 0009-0001-1005-7962)
Adam Carlton Lynch
Wichita State University
orcid.org/0000-0001-9495-1605
ADAM CARLTON LYNCH received the BS and MS degrees in Industrial and Systems Engineering from the University of Southern California. He received his Master of International Management from the Thunderbird School of Management (part of Arizona State University). He completed a PhD in Industrial, Systems, and Manufacturing Engineering (ISME) from Wichita State University (WSU) in Kansas. Dr. Lynch has 30 years of global industry experience, particularly aerospace. Dr. Lynch now serves as an Associate Teaching Professor in the Applied Engineering department and as an Adjunct in ISME at WSU. His research interests include Engineering Education, Leadership, Mentoring and Lean Six Sigma.
Abstract
Objective This study examines the quality control issues at Etezazi Industries and investigates how digital transformation can close these gaps. The aim is to enhance production quality and build a strong culture of quality within the company.
Background In aerospace manufacturing, digital transformation is essential for staying competitive. Modern tools like Unified Modeling Language (UML) can improve efficiency, streamline processes, and strengthen resilience. This study focuses on how UML can support quality control and simplify training.
Methods UML was used to map Etezazi’s quality control processes. This approach identified specific areas where digital transformation could bring measurable improvements to operations and training clarity.
Results The use of UML-driven tools, such as Digital Work Instructions (DWIs), resulted in more consistent training and better operational efficiency.
Conclusions The study shows that integrating UML into digital transformation efforts can significantly improve quality control in aerospace manufacturing. Expanding the use of such tools can sustain these improvements and support systematic quality management in the future.
Cupertino, P. C. P., & Lynch, A. C. (2025, March), Systems Engineering Gap Analysis for Aerospace Digitization Paper presented at 2025 ASEE -GSW Annual Conference, Arlington, TX, Texas. 10.18260/1-2--55080
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