This advanced course is designed for professionals and researchers with a background in linear optimisation and Python programming. Over 8 days, participants will dive deep into advanced optimisation techniques, focusing on robust and stochastic optimisation methods used to solve complex real-world problems under uncertainty. The course covers theoretical foundations, algorithmic implementations, and hands-on practice using the Python library Pyomo.
Key Topics:
- Day 1: Review of linear and mixed-integer linear optimisation (case study: Recharging strategy for electric vehicles)
Day 2: Network optimisation: models and heuristics (case study: Arbitrage search in cryptocurrency markets)
Day 3: Accounting for uncertainty: “Optimisation meets reality” (case study: Fleet assignment and delays)
Day 4: Robust optimisation 1 (case study: Production plan accounting for uncertainty)
Day 5: Robust optimisation 2 (case study: City routing accounting for traffic disruptions)
Day 6: Stochastic optimisation 1 (case study: distribution centre stock optimisation)
Day 7: Stochastic optimisation 2 (case study: Investment portfolio optimisation)
Day 8: Stochastic optimisation 3 (case study: Two-stage land allocation problem with uncertain yield)
Participants will leave with the skills to model, solve, and interpret complex optimisation problems in uncertain environments, gaining practical experience with cutting-edge techniques and tools.
Key Deliverables:
- Case studies to connect course concepts to real-world problems
- Daily assignments to reinforce theoretical and practical understanding
This advanced course provides participants with a comprehensive understanding of robust and stochastic optimisation, equipping them with the skills to tackle uncertainty in optimisation problems across diverse industries.
Starting date: 11 April 2025
Tuition fee: € 4,995
Format: This course consists of 8 full days of study.
Participants are expected to work at home for 4 to 8 hours per week
Group size: 8-18
Registration deadline: 7 March 2025.
(The organisation has the right to cancel or postpone the course by 7 March 2025 if there are fewer than 8 admissions)
For more information about this course, please contact: BAforIndustry@vu.nl
This course is part of the Business Analytics for Industry programme.
It includes two other courses:
