23671 research outputs found
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Concepts for a new cyber-physical system: Addressing national defense challenges in UAV operations
No full textPublished in SOAR: Shocker Open Access Repository by the Wichita State University Libraries Technical Services, October 2025.This research introduces a Cyber-Physical System for defense UAVs. Based on DOD research priorities, the solution can improve UAVs. The solution integrates KEEN concepts, aligning the system design with operational and strategic needs. Costs, suppliers, equipment, and compatibility with existing UAVs were analyzed. The Gantt Chart deploys in phases considering manufacturability and cost. This research explores financial and operational benefits to DoD UAVs. Combining systems engineering and KEEN, this research baselines the innovative CPS challenges in defense UAVs
The fallacies and failures of genetic reductionism: An historical review of lessons learned
No full textClick on the DOI link to access this article at the publishers website (may not be free).[No abstract available
Recommender systems impact on Platform’s content and outcomes: the role of providers and algorithm designs
No full textClick on the DOI link to access this article at the publishers website (may not be free).Purpose: The study aims to investigate how recommender systems shape providers’ dynamics and content offerings on platforms, and to provide insights into algorithm designs for achieving better outcomes in platform design. Design/methodology/approach: This study employs a multi-agent simulation framework coupled with reinforcement learning models to examine the influence of different recommender system designs on providers’ perception of demand and platform content. Findings: The study reveals that recommender systems have the potential to introduce biases in providers’ understanding of user preferences, thereby impacting the variety of offerings on platforms. Moreover, it identifies algorithm design as a critical factor, with item-based collaborative filters showcasing superior performance in contexts where customers exhibit selectivity. Conversely, user-based models prove more effective in scenarios where recommendations significantly sway user decisions, ultimately boosting sales. Practical implications: In practical terms, these insights can guide platform developers in making informed decisions regarding the selection and implementation of recommender system algorithms. By tailoring algorithm choices to specific contexts, platforms can enhance user welfare, ultimately leading to improved platform performance and profitability. Originality/value: The findings underscore the importance of integrating provider dynamics and algorithmic biases into the design of recommender systems and platforms. This highlights avenues for future research to explore and refine our understanding of these dynamics. © 2024, Emerald Publishing Limited
Standing committees of the Faculty Senate, 2024-2025
No full textCommittee Chairs -- Academic Affairs -- Academic Integrity Policy Committee -- Accessibility -- Court of Academic Appeals -- Faculty Affairs -- Faculty Support -- General Education -- Library -- Planning and Budget (Two year term) -- Rules -- Scholarship and Student Aid -- Tenure and Promotion -- Undergraduate Research -- University Exception
Instructional lean manufacturing lab design using SMED
No full textPublished in SOAR: Shocker Open Access Repository by Wichita State University Libraries Technical Services, November 2025. 2025 IEMS Officers: Gamal Weheba (Conference Chair); Hesham Mahgoub (Program Chair); Dalia Mahgoub (Technical Director); Ed Sawan (Publications Editor); Wilfredo Moscoso (Proceedings Editor); Abdulaziz G. Abdulaziz (Associate Editor)Lean manufacturing tools such as 5S, Single-Minute Die Exchange (SMED), pull vs. push and Kanban system, etc., are practical tools that help eliminate waste, increase efficiency, and improve quality in various manufacturing and other systems. In higher education, these tools can be taught to students in a traditional lecture-style model or illustrated as lab activities with hands-on simulation. In the undergraduate manufacturing engineering program under study, lean manufacturing concepts are taught in a Manufacturing Process Planning course. This study presents a tool kit design that provides an instructional learning experience on the principles and tools of lean manufacturing through hands-on activities/simulation that can be easily incorporated into the course curriculum. This project specifically focuses on developing and designing a traditional assembly vs. SMED assembly with the appropriate instruction manuals to help the students connect the theory and practice of this important lean concept. A t-shirt press process was proposed to illustrate this learning experience. Two t-shirt press machines were designed/modified for this project's purpose. One machine followed a traditional press process with fasteners and connectors, while the other machine was modified to incorporate SMED. Additionally, the machines were accompanied by examples of different levels of work instructions to demonstrate the importance of quality work instructions, an essential aspect of lean manufacturing, which is another topic covered in this class
