Methodology to implement project-based learning (PBL) within the context of Operations Management.
- Conference
- Location
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Portland, Oregon
- Publication Date
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June 23, 2024
- Start Date
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June 23, 2024
- End Date
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June 26, 2024
- Conference Session
- Tagged Division
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Industrial Engineering Division (IND)
- Page Count
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10
- DOI
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10.18260/1-2--47775
- Permanent URL
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https://peer.asee.org/47775
- Download Count
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53
Paper Authors
Mahesh Kumar Pallikonda Austin Peay State University
Dr. Mahesh Kumar Pallikonda is a faculty member in the Department of Engineering technology at Austin Peay State University (APSU). Prior to his academic career, he gained valuable industry experience in roles ranging from New Product Development to Process Control. He holds a Ph.D. and a Master's degree in Mechanical Engineering from Cleveland State University, as well as a Bachelor's degree in Manufacturing Engineering from the National Institute of Advanced Manufacturing Technology. Prior to joining APSU, he served as a faculty member at Ohio Northern University, where he taught courses on the fundamentals of electronics, including electrical circuits. At APSU, Dr. Pallikonda instructs courses specializing in Robotics and its applications, Engineering Economics, CAD and Manufacturing processes. Dr. Pallikonda is passionate about educating and inspiring the next generation of engineers, technologists, and innovators through his lectures. He is deeply committed to advancing the fields of robotics and manufacturing through interdisciplinary research in connected devices and Industrial Internet of Things (IIoT). His research interests span Manufacturing, Material Science, pedagogy, Lean Six Sigma, and Industry 4.0
Hossain Ahmed
Austin Peay State University
orcid.org/0000-0002-4539-8468
Hossain Ahmed earned an M.S. in mechanical engineering from Lamar University and a Ph.D. in mechanical and energy engineering from the University of North Texas. Dr. Ahmed is an assistant professor in the Department of Engineering Technology at Austin Peay State University, TN. His research interests are computational fluid dynamics (CFD), corrosion, and structural health monitoring (SHM). Dr. Ahmed has authored many journals, conference articles, and book chapters. He also serves as a reviewer for several international conferences and peer-reviewed journals.
Md. Ali Haider
Austin Peay State University
orcid.org/0000-0002-2110-1025
Dr. Md. Ali Haider is an Assistant Professor at Austin Peay State University, serving as the Electronics and Electrical Engineering Technology concentration coordinator. His research interests include Biomedical Signal Processing, Brain-computer interface, Image processing, Artificial Intelligence, Machine Learning, and the Internet of Things (IoT). Dr. Haider has authored multiple publications on signal and image processing and serves as a reviewer for several international conferences and peer-reviewed journals, including IEEE WF-IoT, IEEE EIT, IEEE Signal Processing Letters, Journal of Signal Processing Systems, and Remote Sensing of Environment.
Ravi C Manimaran Austin Peay State University
Ravi C Manimaran is a Professor and Chair of the Department of Engineering Technology, Austin Peay State University, Clarksville, Tennessee. His education includes two Master of Science degrees in Electrical & Computer Engineering and Electronics and Control Engineering. He has been actively involved in higher education leadership in various capacities as a Dean, Department Chair, PI, Project Director, and a faculty member since 1997. He has served as the PI / Project Director for multiple agencies including NSF, DOL, DOD, and Perkin’s Grant. His research interests include Industrial Automation Systems, VLSI, ASIC, and FPGA. Other areas of interest are Higher Education Leadership and Accreditation including ABET.
Abstract
Operations Management represents a crucial discipline intersecting engineering and business, dedicated to refining processes, optimizing resources, and streamlining systems to elevate overall efficiency and productivity. Traditionally, this course has been delivered through lecture-based classes heavily grounded in mathematical models encompassing forecasting, inventory management, scheduling and operations planning, material requirements planning, and manufacturing resource planning. In pursuit of elevating the students' active learning and knowledge retention, we introduced PBL as an innovative pedagogical strategy. This paper begins with a review of the literature on PBL in engineering education and operations management, highlighting its benefits in fostering critical thinking, teamwork, and real-world problem-solving skills. It also addresses the challenges associated with implementing PBL in this context. The methodology section outlines the design and execution of the PBL approach, results demonstrate the students’ performance in the projects, and discusses the findings of the active learning outcomes. In conclusion, this paper underscores the significance of PBL as an effective instructional method for Operations Management education, lessons learned, and potential future research directions in PBL.
Pallikonda, M. K., & Ahmed, H., & Haider, M. A., & Manimaran, R. C. (2024, June), Methodology to implement project-based learning (PBL) within the context of Operations Management. Paper presented at 2024 ASEE Annual Conference & Exposition, Portland, Oregon. 10.18260/1-2--47775
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