Case study: multi-partner and multi-year collaborative research program with the company Thales
Objective: Refit Optimization for ship maintenance
As a component part of the AJISS program (Arctic and Offshore Patrol Ship and Joint Support Ship In-Service Support) of the Canadian Navy:
- Increase ship availability by reducing maintenance period duration, eliminating conflicts and identifying risk drivers.
- Decrease in-service cost by optimizing activities in a specified maintenance period, preventing conflicts and re-work, and minimizing overtime.
Problem
Resource-constrained project scheduling problem (RCPSP).
Technology used
Combination of Local Neighbourhood Search (LNS) and Constraint Programming (CP).
Participants
Funding Partners
Impact
- Ongoing research program that has been renewed 4 times since September 2018.
- 15 MITACS blocs used at Polytechnique Montreal for students training.
- Since January 2021, extension of this solution to hospital operating room schedule optimization thanks to further funding from Thales and Scale AI.