Lin Fan
Lin Fan will be joining the Operations Department at the Kellogg School of Management in September 2024, after spending one year as a Postdoctoral Scientist at Amazon in Supply Chain Optimization Technologies. He received his PhD in Management Science and Engineering, an MS in Statistics, and an MS in Mechanical Engineering, all from Stanford University. His research interests lie broadly at the interface of applied probability and data-driven operations research, with specializations in multi-armed bandits, reinforcement learning, statistical inference for stochastic processes, and stochastic control.
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.