Considering the variations in its order book and its modular production lines, our client was facing 2 million daily scheduling possibilities. Despite the tools in place, the solution was necessarily sub-optimal over the long term. We were therefore involved to design and develop a scheduling optimisation engine based on many criteria (scrap, added value, production costs, lead times, etc.)
As the line was composed of many parallel work stations that could interface with each other, we decided on a purely financial cost function model, and an optimisation model per agent to take into account all local constraints and gains. Every work station, product, transfer, product storage or status was modelled as a cost or revenue source to obtain a consistent constraint space coherent with the field. That made it possible to produce an overall solution which was then deployed in all the group plants.
in annual savings, essentially thanks to reduced scrap and line re-injections
through economy of resources
Standardisation of scheduling
practices at the group level