Austin, Texas
June 14, 2009
June 14, 2009
June 17, 2009
2153-5965
11
14.563.1 - 14.563.11
10.18260/1-2--5748
https://peer.asee.org/5748
481
Dr. Tseng’s educational background is in IE with an emphasis on artificial intelligence and web based technologies in manufacturing. In addition to his many years of industrial experience, he has taught many different engineering courses at undergraduate and graduate levels. His areas of teaching emphasis include internet-based techniques to manufacturing, computer integrated manufacturing, design of experiment and simulation. In the classroom, his teaching methods emphasize creativity and active hands-on based learning. Dr. Tseng is also a Certified Manufacturing Engineer from Society of Manufacturing Engineers since 2002. He has secured many research and education grants from the National Science Foundation, Kentucky Science & Engineering Foundation, Department of Education and industries.
Dr. Sarkodie-Gyan obtained the B.S. and M.S degrees in Electrical Engineering and Cybernetics from the Technical University Magdeburg, and the PhD in Process Measurement and Control from the Technical University Berlin, respectively. He has worked both in the industry and in academia, and has been very involved in industrial research. Dr. Sarkodie-Gyan also specializes in biomedical engineering. He has several peer review publications and many patents in this area. In 2004 and 2005, the ASME appointed him the course director within the Institute for Continuing Education. He has recently published the novel book on Neurorehabilitation Devices that depicts a definitive guide to developing neurorehabilitation devices. Among the accolades of Dr. Sarkodie-Gyan involves his academic and professional activities in Europe, in Germany, in the United Kingdom, and also in the USA.
Dr. Zhang graduated from Kansas State University with a PhD degree in Industrial Engineering. She teaches courses in reliability and maintainability, manufacturing system modeling, and tooling engineering. Her areas of technical expertise include nondestructive evaluation (NDE), manufacturing process control and optimization, and industrial engineering applications. She has a number of papers published in the international journals and conference proceedings. As a new woman faculty, after Dr. Zhang joined UTEP in fall 2006, she has participated in a NSF CCLI Phase II proposal and NSF Advance Program. Her previous experience in course enhancement and strong desire for teaching excellence will be significant contribution toward the success of the project.
Enhancement of Network Based Manufacturing Education: A Quasi-Web Based Instruction Approach
Abstract
The objective of the paper is to design, implement, and further enhance a set of network based manufacturing (NBM) courses on the topics of automation, production and advanced manufacturing within the established programs. The aforementioned courses constitute the foundation of what is commonly known as e-manufacturing systems, in which the remote monitoring, diagnosis and control of distributed manufacturing operations are the key characteristics. This paper aims at developing an effective learning model to facilitate student’s learning through a quasi-web based approach. The finding from the collected data provides an indication of how to effectively study this problem in further investigations. This paper forms the basis for solving many other similar problems that occur in manufacturing industries.
Introduction
The objective of this paper is to design, implement, and further enhance a set of network based manufacturing (NBM) courses on the topics of automation, production and micro- manufacturing within the established programs. The aforementioned courses constitute the foundation of what is commonly known as e-manufacturing systems, in which the remote monitoring, diagnosis and control of distributed manufacturing operations are the key characteristics. With the trend of rapid globalization across almost all types of manufacturing industries, it is foreseen that the network based manufacturing will become a significant activity in coming years. According to literatures 1-6, the NBM is one of the fast growing businesses in the manufacturing sector. A distinguishing characteristic on the delivery of the curriculum will be student involvement in “hands-on” laboratory activities and experiences. Furthermore, graduates from the program will be well-prepared with high-tech skills in the areas of automation, production and micro- manufacturing technology. It is expected that nationally this curriculum reform will become a national model of teaching network based manufacturing technology and management, while locally it will provide much of the needed manufacturing professionals for the industries.
Background
Globalization has changed the landscape of manufacturing industry. Many manufacturing activities are performed at geographically dispersed locations, while coordinated and integrated by Internet-Based communication and control software. Hence, topics on distributed manufacturing are of a lot of interests in both academia and the business world. The current state-of-the-art practice includes the multinational engineering teams for product design and the global business coordination, such as supply chain management. We foresee, however, that with the advance of automation and sensing technology, integration of physical manufacturing processes into the global business and engineering functions will be the next stage of the foregoing manufacturing evolution.
1
Tseng, T., & Sarkodie-Gyan, T., & Zhang, J. (2009, June), Enhancement Of Network Based Manufacturing Education: A Quasi Web Based Instruction Approach Paper presented at 2009 Annual Conference & Exposition, Austin, Texas. 10.18260/1-2--5748
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