Operations Management for MBAs provides an introduction to the basic concepts of operations management with a strategic, conceptual, and contemporary approach. Specifically written with the needs of MBA students in mind, current topics such as supply chain management, the balanced scorecard, and yield management, as well as those specific to marketing, finance and other majors are explained.
Chapter 1: Operations Strategy and Global Competitiveness. Operations. Customer Value. Strategy and Competitiveness. From Strategy to Structure. Chapter 2: Process Planning and Design. Forms of Transformation Systems. Selection of a Transformation System. Chapter 3: Controlling Processes. Monitoring and Control. Process Monitoring. Process Control. Controlling Service Quality. Chapter 4: Process Improvement: Minimizing Variation Through Six Sigma. Approaches for Process Improvement. Business Process Design (Reengineering). Six Sigma and the DMAIC Improvement Process. Example Six Sigma Project. The Define Phase. The Measure Phase. The Analyze Phase. The Improve Phase. The Control Phase. Six Sigma In Practice. Chapter 5: Process Improvement: Reducing Waste Through Lean. History and Philosophy of Lean. Traditional Systems Compared with Lean. Specify Value. Identify the Value Stream. Make Value Flow. Pull Value Through the Value Stream. Pursue Perfection. Benefits of Lean. Lean Six Sigma. Chapter 6: Managing Process Improvement Projects. Defining a Project. Planning the Project. Scheduling the Project. Controlling the Project: Earned Value. Chapter 7: Supply Chain Management. Defining Supply Chain Management. Supply Chain Strategy. Supply Chain Design. Outsourcing and Global Sourcing. Inventory Management. Role of Information Technology. Successful Supply Chain Management. The Beer Game. The Economic Order Quantity Model. Chapter 8: Capacity, Scheduling, and Location Planning. Long-term Capacity Planning. Location Planning Strategies. Locating Pure Services. Effectively Utilizing Capacity Through Schedule Management. Short-term Capacity Planning. Forecasting. Forecasting Purposes and Methods. Time Series Analysis. Causal Forecasting with Regression. Cases. Index.