
ISBN13: | 9781032658087 |
ISBN10: | 1032658088 |
Kötéstípus: | Keménykötés |
Terjedelem: | 272 oldal |
Méret: | 234x156 mm |
Nyelv: | angol |
Illusztrációk: | 23 Illustrations, black & white; 2 Halftones, black & white; 21 Line drawings, black & white; 6 Tables, black & white |
700 |
Industrial Engineering Strategy for Constructive Technologies
GBP 115.00
Kattintson ide a feliratkozáshoz
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 (AI). Industrial engineering?s systems-focused approach offers the best mechanism to address this urgent global need.
Industrial Engineering Strategy for Constructive Technologies: A Systems-Based Approach for the Global Economy focuses on managing digital engineering using a systems methodology to ensure that all the parts and pieces fit together. It addresses the role of AI, is cognizant of social concerns about technological encroachment, and highlights the sustainability of operations. This book leverages resilience engineering in technology utilization and, at the same time, recognizes humans in the loop of technology. This book also discusses how to use a systems-based approach for accepting and integrating new technologies. The global market is yearning for new guidelines and strategies for coping with the ever-increasing and changing technological landscape.
This book is an essential read for university students and instructors and those in the fields of engineering as well as industry, business, government, and the military.
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.