ADEDEJI BODUNDE BADIRU is an associate professor of industrial engineering at the University of Oklahoma. He received his BS degree in Industrial Engineering, Ms in Mathematics, and Ms in Industrial Engineering from Tennessee Tech University. He received his Ph.D. degree in Industrial Engineering from the University of Central Flordia. He has authored several technical papers and books including Project Management in Manufacturing and High Technology Operations (1988), Computer Tools, Models, and Techniques for Project Management (1989), Project Management Tools for Engineering and Management Professionals (1991), and Expert Systems Applications in Engineering and Manufacturing (1992). He is a member of IIE, SME, TIMS, ORSA, PMI, and AAAI. He has conducted project management training programs for several organizations including AT&T, Sony, Institute of Industrial Engineers, Tinker Air Force Base, and China Productivity Center.
Quantitative Models for Project Planning, Scheduling, and Controlby Adedeji Bodunde Badiru
Today, a major component of any project management effort is the combined use of qualitative and quantitative tools. While publications on qualitative approaches to project management are widely available, few project management books have focused on the quantitative approaches. This book represents the first major project management book with a practical focus on
Today, a major component of any project management effort is the combined use of qualitative and quantitative tools. While publications on qualitative approaches to project management are widely available, few project management books have focused on the quantitative approaches. This book represents the first major project management book with a practical focus on the quantitative approaches to project management. The book organizes quantitative techniques into an integrated framework for project planning, scheduling, and control. 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. Chapter one gives a brief overview of project management, presenting a general-purpose project management model. Chapter two covers CPM, PERT, and PDM network techniques. Chapter three covers project scheduling subject to resource constraints. Chapter four covers project optimization. Chapter five discusses economic analysis for project planning and control. Chapter six discusses learning curve analysis. Chapter seven covers statistical data analysis for project planning and control. Chapter eight presents techniques for project analysis and selection. Tables and figures are used throughout the book to enhance the effectiveness of the discussions. This book is excellent as a textbook for upper-level undergraduate and graduate courses in Industrial Engineering, Engineering Management, and Business, and as a detailed, comprehensive guide for corporate management.
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