Use Case - Production & Capacity Planning

Turning demand and constraints into a schedule planners trust in Industrial machinery manufacturing

At an industrial machinery company, production scheduling software has existed for years, and planners still end up overriding it by hand within the first week of any new plan. That's not a failure of optimization. The math is usually fine. The problem is that the constraints that actually matter, which machines can flex and which can't, what a changeover really costs versus what it costs on paper, which customer gets priority when two orders compete for the same slot, live in a planner's head, not in the system.

That judgment is real expertise, built over years of watching what actually happens when a schedule ignores it. The trouble is that it's also invisible, un-versioned, un-auditable, and gone the day that planner leaves.

How we built it

Rather than trying to out-optimize the planners, this workflow starts by capturing the constraint logic they already use, changeover costs, machine flexibility, priority rules, as explicit, versioned logic instead of tribal knowledge. Demand signals and current capacity feed into that logic continuously, and the proposed schedule respects the actual tradeoffs a planning team would make, not a textbook optimization that ignores the reasons they'd override it.

We scope this the same way as every FocusNow workflow: one production line first, backtested against a company's own historical scheduling decisions before a proposed schedule is ever trusted with a live shift.

What this changes

A planner still makes the final call on every schedule. What changes is where that judgment starts from: instead of a generic optimization the team immediately overrides, the starting proposal already reflects the constraint logic they'd apply by hand, and every schedule traces back to the specific data and rule that produced it, so the next person doesn't have to reconstruct the reasoning from scratch.

About this workflow

Industry: Industrial Machinery

Cloud Platform: Azure

Use Case: Production & Capacity Planning

Have a workflow like this?

If your team's real scheduling logic lives in one planner's head instead of your system, this is exactly the kind of first workflow we'd scope with you as a pilot.

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