QC Optimisation for Maritime Logistics - Case Studies
summary
Project frames Hamburg tug scheduling as a mixed-integer linear program with objectives to minimize delays, bunker time and active tugs; input derives from a data warehouse covering ~10,000 tow jobs/year and 15 tugs operating under two narrow five-hour windows. The approach uses Benders decomposition to split continuous and discrete parts, casting the discrete master as a QUBO on NISQ devices for hybrid quantum-classical solves; work is early stage (started July/August) with modeling and decomposition validated but no quantum results yet.
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chapters (4)
- 0:00Maritime logistics project intro
- 3:14Quantum scheduling overview
- 8:57Integrating quantum solution
- 14:38Progress and next steps
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