Operations Management (OPNSM-430-0)
Analytical Decision Modeling: R (OPNS-451-0)
This course presents methods for improving the quality of a firms' goods and services that lead to greater customer satisfaction, a better competitive position, higher productivity, and lower operating costs. The emphasis is on the development of a comprehensive program of quality planning and control throughout the organization. Topics include: product and process design for quality and reliability; vendor and material selection and inspection, equipment maintenance, and control of process capability, work force, management for defect prevention and early detection; and, finally, product support, customer service, and information feedback. At each stage, the roles of management planning process technology and statistical methods are emphasized.
Applied Advanced Analytics (OPNS-441-0)
In this course we will develop a logical, analytical, practical approach to problem solving. In particular, we will model, analyze, and solve problems in operations management that involve resource allocation and risk analysis. We will apply optimization, simulation, and decision theory methodologies to modeling and analysis on the Excel platform. We will also perform some data analysis and time series analysis for estimation and forecasting model parameters.
Operations Management (OPNS-430-0)
1Ys: This course is typically waived through the admissions process or the equivalent course Operations Management (Turbo) (OPNS-438A) was completed during the Summer term.
MMMs: This course is equivalent to the MMM core course Designing and Managing Business Processes (OPNS-440)
Operations management is the management of business processes--that is, the management of the recurring activities of a firm. This course aims to familiarize students with the problems and issues confronting operations managers, and to provide the language, concepts, insights and tools to deal with these issues to gain competitive advantage through operations. We examine how different business strategies require different business processes and how different operational capabilities allow and support different strategies to gain competitive advantage. A process view of operations is used to analyze different key operational dimensions such as capacity management, cycle time management, supply chain and logistics management, and quality management. Finally, we connect to recent developments such as lean or world-class manufacturing, just-in-time operations, time-based competition and business re-engineering.
