This concept and tooling seems portable to many other contexts.
Personally have been involved in a number of tube-surfing geographically scattered/challenged tech deployments where a plan would have been better than swatting reactively at a buzzing swarm of asynchronously arriving "it's broke and we need parts and delivery."
I guess this will work best sitting on a rich history of stats.
"The proposed Spare Parts Inventory Policy (SPIP) integrates demand requirements, storage capacity, budget limitations, and service reliability targets into a unified planning model that remains transparent and practically interpretable for managerial use. Variability in component failures and offshore accessibility is incorporated through parameterized demand and service-level inputs, allowing managers to evaluate trade-offs without introducing unnecessary model complexity. Rather than introducing a new optimization algorithm, the contribution lies in translating offshore wind operational realities into a linear programming–based decision-support framework that can be implemented with Python using the PuLP optimization package."




