Welcome to SOAR: Shocker Open Access Repository!
SOAR is the institutional repository of Wichita State University. Its primary purpose is to make the University’s digital scholarship available to a global audience and to serve as a reliable digital storage solution. SOAR functions dually as both a publication platform and a digital archive. University faculty and staff are encouraged to publish their research works, data, or documents in SOAR. For student submissions, a recommendation from their professors is required.
- About SOAR
- Policies and Guidelines
- Submission and Workflow
- ISSN: 2997-3686
- Contact us: soar@wichita.edu
Recent Submissions
Item Reducing occupational hazards in manufacturing through additive manufacturing: A safety centric approach(Industry, Engineering & Management Systems Conference, 2025-03-07)Additive Manufacturing (AM) is a novel field that has revolutionary advantages when compared with traditional reductive manufacturing processes, specifically in terms of safety in the workplace. The more AM technologies are integrated into manufacturing and industrial applications; the greater the value of understanding the safety implications will be. Research indicates that AM reduces mechanical, chemical, thermal and physical risks, which reduces the occurrence of injuries. AM control systems are largely digitized, reducing the probability of human error and reducing material waste. This paper examines the role of AM in reducing manufacturing hazards while comparing it with traditional manufacturing practices, while reviewing case studies, limitations and the future of manufacturing with AM and its adoption in Industry 4.0.Item Higher education student success: A system to evaluate degree completion(Industry, Engineering & Management Systems Conference, 2025-03-07)Higher education institutions must cultivate a technically skilled workforce to meet increasing job demands. However, graduation rates remain low, with 40% of first-year students not completing their degrees. This research proposes an integrated system using machine learning, particularly neural networks, to predict student success based on multifaceted interactions. The model demonstrates a systematic approach to improving degree completion outcomes.Item Measuring calibration of internal food safety auditors in a food manufacturing plant(Industry, Engineering & Management Systems Conference, 2025-03-07)The author of this case study collaborated with a food manufacturing facility that produces a range of food products. Food safety audits are crucial for identifying risks and creating a robust food safety culture. An internal food safety audit serves as a continuous improvement tool and prepares for food safety certifications or other standards; however, if auditors are not proficient, food safety audits may be less effective. Measuring internal auditors' calibration can provide value, ensuring that auditors understand the standards and associated food safety risks. This case study analyzed metrics to measure the calibration of internal food safety auditors.Item Additive manufacturing supercharging automotive parts for maximum reliability(Industry, Engineering & Management Systems Conference, 2025-03-07)Additive manufacturing (AM) is reshaping the automotive industry by offering design flexibility, reduced component weight, & streamlining assembly processes. This paper explores how AM technologies advance the automotive industry through case studies and real-world applications. With AM utilization, automotive industries have achieved improvements in mechanical robustness, system performance, and overall reliability. The paper specifically examines AM's role in prototyping, tooling, material handling, vehicle performance, streamlined assembly, and sustainability within the automotive industry. Challenges such as production speed, material costs, and standardization are also addressed, offering a balanced view of AM's current and future potential.Item Aircraft spar production: Materials, methods, and production management using linear programming(Industry, Engineering & Management Systems Conference, 2025-03-07)The design and manufacturing of aircraft wing spars are extremely important to aerospace manufacturing, particularly in enhancing manufacturing efficiency and sustainability. In the past, when creating spar production plans, engineers approached material selection and manufacturing process optimization as separate decisions, which often resulted in higher costs. This study presents a mixed-integer linear programming (MILP) framework that takes a more united approach to spar production. Several production case studies were developed using different material and process combinations. To support this analysis, data comparing dissimilar materials and their properties were compiled from existing literature. These case studies were assessed using the MILP framework to see how well they performed. The results show that an integrated approach to manufacturing can help engineers reduce waste, improve sustainability, and use materials more efficiently.
Communities in SOAR
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