Operations Engineering and Management: Concepts, Analytics and Principles for Improvement

Discover how to apply engineering thinking and data analytics in your business operations

This hands-on textbook shows, step by step, how to use the engineering problem solving approach and data analytics techniques to drive effective tactical and control-level decision making in operations systems and supply chains. Operations Engineering and Management: Concepts, Analytics and Principles for Improvement is based on the author's successful classes in both business and engineering. The book presents concepts and principles of operations management, with a strong emphasis on analytics and operations improvement. You will also get full details on the classic management approach to operations and supply chain management.

Coverage includes:

• Operations strategy
• Process-flow analysis
• Forecasting and variability
• Capacity concepts and measures
• Throughput improvement
• Flow time analysis and improvement
• Inventory management for deterministic and stochastic demand
• Inventory improvement
• Aggregate planning and lean operations
• Operations scheduling and flexible operations
• Quality management and control
• Quality improvement and Six Sigma

Seyed M.R. Iravani, Ph.D., is a professor of industrial engineering and management sciences at the McCormick School of Engineering and Professor of Operations Management (Courtesy) at the Kellogg School of Management at Northwestern University. He received his B.S. and M. S. in Industrial and System Engineering at the Iran University of Science and Technology, and his Ph. D. in Industrial Engineering at the University of Toronto.