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Numerous illustrative examples are presented. Topics covered in the book include PERT/CPM/PDM and extensions, mathematical project scheduling, heuristic project scheduling, project economics, statistical data analysis for project planning, computer simulation, assignment and transportation problems, and learning curve analysis.
This book presents the mathematical foundation for building and implementing industrial control systems. It contains mathematically rigorous models and techniques for control systems in general with specific orientation toward industrial systems. Industrial control encompasses several types of control systems. This book covers some common elements of industrial control systems, including supervisory control and data acquisition systems, distributed control systems, and other generic control system configurations such as programmable logic controllers, which are often found in industrial operations and engineering infrastructure.
Presenting a step-by-step approach to managing projects in science, technology, and engineering, this book uses time-tested concepts of the Project Management Body of Knowledge. It combines managerial, organizational, and quantitative techniques into a logical sequence of project implementation steps.
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