In this course, students will learn key models, methods and strategies for logistics and supply chain operations management and how to apply them. This course is built upon the course operations 1 where students have learned about basics of optimization in supply chain and logistics planning, demand forecasting, inventory planning, production planning, pricing and capacity planning. Operations 2 extends students’ modelling skills and discusses models and strategies for supply chain network design, facility location, scheduling, project management, dynamic programming and queuing. In addition, they will learn about decision trees, risk pooling, simulation and queuing models to cope with uncertainty in supply chain and operations planning.
- Supply Chain Network Design
- Supply Chain Planning
- Linear Programming and Mixed Integer Programming Models
- Variability and its Impact on Process Performance
- Waiting lines
- Risk Pooling Strategies
- Scheduling and sequencing
Learning outcome knowledge
- Understand the basic trade-offs in supply network design and supply chain planning.
- Understand how the use of LP and MIP models can reduce sub-optimization in such systems.
- Understand how service time variability can affect a process.
- Understand how risk pooling strategies can help to reduce risk.
- Understand the effects of sequencing of tasks on performance
- Written exam: 100%