WorkLead-time prediction for machined parts
Lead-time prediction for machined parts
A machine-learning model that predicts the finish date and time of a machined part from the moment the ERP declares it to be made.
- Context
- Professional
- Role
- Apprentice, Industrial IT Innovation
- Status
- In development
- Organisation
- Safran Landing Systems
- Period
- Apprenticeship, 2024–present
- Stack
- Links
- None: internal work, described from public facts only.
Problem
Once the ERP declares a part to be made, the people who plan production need to know when it will be finished: the date and the time. How long each operation takes depends on the load on the machines and on which operators are available.
What I built
During my apprenticeship at Safran Landing Systems, I am building a machine-learning model that predicts the finish date and time of a part from the moment the ERP declares it to be made. It learns operation times against machine load and operator availability.
I am building it with my department, which knows the network, the environment and the services it can reach; with operators, for the features and screens they need and the data they produce; with production planners; and with the operators’ managers.
Where it stands
It is in development: I am still building it, and it is not in production. This work is confidential, so this page names no internal system and shows no architecture, URL or screenshot.