Description
Book Description
Time is one of our most valuable resources, yet managing it effectively is often one of the toughest challenges. Mastering Time - Innovative Solutions to Complex Scheduling Problems is a comprehensive guide introducing new methods and solutions to solve complex scheduling problems in professional contexts. By mastering these creative solutions, you can gain control over your time. This book presents practical strategies and tools to streamline workflows, optimize resource allocation, and tackle bottlenecks head-on. Whether you are managing multiple projects, balancing competing priorities, or simply seeking to organize your time better, the insights provided in this book will help you unlock new levels of productivity and efficiency. With real-world examples, cutting-edge technologies like artificial intelligence, and time-tested techniques, Mastering Time - Innovative Solutions to Complex Scheduling Problems equips readers with the knowledge and tools to transform even the most challenging schedules into manageable, efficient plans. Dive into the future of scheduling, where complexity is simplified and time is truly mastered.
Table of Contents
1. Introductory Chapter: Mastering Time – Innovative Solutions to Complex Scheduling Problems. 2. Intelligent Scheduling: How AI and Advanced Analytics Are Revolutionizing Time Optimization. 3. IoT Based Automatic Intravenous Bag Data Logging Monitoring and Alert System. 4. An Insertion Procedure to Solve Hybrid Multiobjective Permutation Flowshop Scheduling Problems. 5. Agile Circularity: Reactive Scheduling Approaches. 6. Task Scheduling for Phased Array Multi-Function Radar. 7. Task Allocation Techniques for Real-Time Mixed Criticality Multicore Systems: A Survey.
Editor
Dr. Ali Soofastaei
Biography
​Dr. Ali Soofastaei is a global artificial intelligence (AI) projects leader, an international keynote speaker, and a professional author.
​He completed his Ph.D. and Postdoctoral Research Fellow at The University of Queensland, Australia, in the field of AI applications in mining engineering, where he led a revolution in the use of deep learning and AI methods to increase energy efficiency, reduce operation and maintenance costs, and reduce greenhouse gas emissions in surface mines. As a scientific supervisor, for many years, he has provided practical guidance to undergraduate and postgraduate students in mechanical and mining engineering and information technology.
Dr. Soofastaei has more than fifteen years of academic experience as an Assistant Professor and leader of global research activities. Results from his research and development projects have been published in international journals and keynote presentations; He has presented his practical achievements at conferences in the United States, Europe, Asia, and Australia. He has been involved in industrial research and development projects in several industries, including oil and gas (Royal Dutch Shell); steel (Danieli); and mining (BHP, Rio Tinto, Anglo American, and Vale). His extensive practical experience in the industry has equipped him to work with complex industrial problems in highly technical and multi-disciplinary teams. Dr. Soofastaei is working actively with some prestigious global publishers same as Mc Graw-Hill Education, Intech Open, Springer, and CRC Press as an author and academic editor.
