Supply Chain Analytics
Efficient management of modern supply chains requires data-driven decision making. In this course, students will learn how to create separate optimization models to support decision making for transportation and production planning, as well as integrated models for coordinated decision making across multiple stages in a supply chain. Most of the deterministic modelling will be performed through the use of linear, mixed-integer and non-linear programming models, which are solved by standard solvers. However, also some basic heuristic methods are discussed in the course.
- Overview of supply chain optimization models
- Supply network design
- Lot-sizing models for supply chain planning
- Operations scheduling
- Vehicle routing
- Demand forecasting
- Safety stock analysis
- Integrated decision making in supply chains
This is an excerpt from the complete course description for the course. If you are an active student at BI, you can find the complete course descriptions with information on eg. learning goals, learning process, curriculum and exam at portal.bi.no. We reserve the right to make changes to this description.