There is an urgent need to develop robust strategies to respond to and leverage new and emerging technologies, particularly those based on Artificial Intelligence. An Industrial Engineering's systems-focused approach offers the best mechanism to address this urgent global need.
There is an urgent need to develop robust strategies to respond to and leverage new and emerging technologies, particularly those based on Artificial Intelligence. An Industrial Engineering's systems-focused approach offers the best mechanism to address this urgent global need.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Adedeji B. Badiru is a retired Professor of Systems Engineering and Dean Emeritus at the Air Force Institute of Technology (AFIT). He is a registered professional engineer, a fellow of the Institute of Industrial Engineers, and a fellow of the Nigerian Academy of Engineering. He has a BS degree in Industrial Engineering, MS in Mathematics, MS in Industrial Engineering from Tennessee Technological University, and Ph.D. Industrial Engineering from the University of Central Florida. He is the author of several books and technical journal articles and has received several awards and recognitions for his accomplishments.
Inhaltsangabe
1. Technology and Systems In A Changing World. 2. Industrial engineering Foundation for Technology Efficiency and Effectiveness. 3. Pervasiveness of AI Technology. 4. AI Control of Complex Systems. 5. Modeling of Kanban Production Systems. 6. Time as a Critical Factor of Production. 7. Technology and Innovation Adoption Template. 8. AI Technology and Predictive Maintenance. 9. Cluster Analysis: A Tool for Technology Management. 10. DEJI Systems Model: A Tool for Industrial Engineering. 11. Back to the Case Study of Space Shuttle Challenger: Technology Decision Disaster. 12. Appendix: 2024 Progress Report on UN's SDGs.
1. Technology and Systems In A Changing World. 2. Industrial engineering Foundation for Technology Efficiency and Effectiveness. 3. Pervasiveness of AI Technology. 4. AI Control of Complex Systems. 5. Modeling of Kanban Production Systems. 6. Time as a Critical Factor of Production. 7. Technology and Innovation Adoption Template. 8. AI Technology and Predictive Maintenance. 9. Cluster Analysis: A Tool for Technology Management. 10. DEJI Systems Model: A Tool for Industrial Engineering. 11. Back to the Case Study of Space Shuttle Challenger: Technology Decision Disaster. 12. Appendix: 2024 Progress Report on UN's SDGs.
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