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The integration of sustainability and automation to enhance manufacturing in Industry 4.0

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Conference

2024 ASEE Annual Conference & Exposition

Location

Portland, Oregon

Publication Date

June 23, 2024

Start Date

June 23, 2024

End Date

July 12, 2024

Conference Session

Four Pillars of Manufacturing Knowledge

Tagged Division

Manufacturing Division (MFG)

Permanent URL

https://peer.asee.org/48117

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Paper Authors

biography

Hossain Ahmed Austin Peay State University Orcid 16x16 orcid.org/0000-0002-4539-8468

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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.

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Mahesh Kumar Pallikonda Austin Peay State University

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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

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Md. Ali Haider Austin Peay State University Orcid 16x16 orcid.org/0000-0002-2110-1025

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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.

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Ravi C Manimaran Austin Peay State University

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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.

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Abstract

The dawn of Industry 4.0 has brought about unprecedented opportunities and challenges in the manufacturing sector. One of the significant challenges is the seamless integration of sustainability measures alongside rapid advancements in automation. This paper aims to provide an academic discourse on how sustainability and automation can be synergistically integrated to enhance manufacturing processes in the context of Industry 4.0. This paper presents a conceptual framework that aligns sustainable practices with automation technologies such as robotics, artificial intelligence, and machine learning. Furthermore, this paper discusses this integration's barriers and ethical considerations. The findings suggest that thoughtful incorporation of both sustainability and automation boosts productivity and economic benefits and leads to environmentally and socially responsible manufacturing. This paper is intended for academics and researchers interested in the future directions of sustainable manufacturing in the era of Industry 4.0.

Ahmed, H., & Pallikonda, M. K., & Haider, M. A., & Manimaran, R. C. (2024, June), The integration of sustainability and automation to enhance manufacturing in Industry 4.0 Paper presented at 2024 ASEE Annual Conference & Exposition, Portland, Oregon. https://peer.asee.org/48117

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