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."

#OperationsManagement

https://onlinelibrary.wiley.com/doi/10.1002/we.70130?af=R

Most companies do not have an operational complexity problem.

They have an accumulated improvisation problem. Every workaround that was never revisited.

Kamyar Shah, fractional COO

integratedstrategicexecutive.com/OpsImprovisation

#FractionalCOO #OperationsManagement

The ops manager who starts making decisions unilaterally is not being insubordinate.

He is filling a vacuum. The problem is the vacuum, not the person filling it.

Kamyar Shah, fractional COO

integratedstrategicexecutive.com/OpsDelegate

#FractionalCOO #OperationsManagement

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