The decision on the table
Rebuilding the production schedule across grades, changeovers, due dates and capacity took the planning team two to six hours in spreadsheets. By the time the plan was ready, the shift it was made for had moved on.
Chemicals · process manufacturing
A chemicals plant with more than a hundred product grades re-plans its production in one to ten minutes instead of two to six hours, in daily use. Delivered through our platform network with classical optimisation solvers.
Headline result
one to ten minutes including the check of the plan, more than a hundred grades, in daily production use
Platform network
Rebuilding the production schedule across grades, changeovers, due dates and capacity took the planning team two to six hours in spreadsheets. By the time the plan was ready, the shift it was made for had moved on.
The plant’s grades, changeover rules, orders and capacity were written as one constrained scheduling model and solved with the classical optimisation solvers in our platform network, with the check of the plan included in the run time. No quantum hardware was used, and the page says so.
one to ten minutes including the check of the plan, more than a hundred grades, in daily production use
For a client, the next step is the first engagement on this page’s industry: you send one week of plant data: grades, orders, changeovers, capacity. You get back the re-plan and the comparison with your current plan. Two weeks.
Decision it enabled
Re-plan on demand, within the shift
Instead of: two to six hours of manual and spreadsheet planning
Verified by · Delivered through our platform network; classical optimisation; in production use; quoted with its published conditions.
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