AI integration for complex manufacturing

Most of what happens in a plant is somebody deciding something.

The planning office

Do we have the people and parts for the weeks ahead?

The answer is in the order book, the routings and a spreadsheet that one planner understands.

Put those in one view and the planner sees a gap in labour or material weeks ahead, while there’s still time to act.
The warehouse

Where is there space, and what has to move today?

That picture is spread across the warehouse systems, the morning’s emails and the shift lead’s head.

When it’s drawn from the systems as they stand, the shift starts with it and nobody spends the first hour counting.
Supply to the line

Which stock should go to which order?

Stock, reservations and production orders sit in separate systems, so material moves by habit.

Once the three are matched, stock reaches the orders that will use it before it expires.
The production floor

What does the next shift need to know?

What the last shift learned travels by word of mouth, if it travels at all.

Drafted from the production record and the shift’s own notes, the handover reaches the next shift written down and checked.
Maintenance

Why has this stopped, and who knows the fix?

The fix is in the fault history and in what a few experienced technicians know.

Capture that, and a newer technician has it beside the fault, at the machine.
Quality

Have we seen this before?

Probably. The record of it is in thousands of past reports that nobody has time to read.

With every one read, the person deciding sees the similar cases, with their source, before they decide.
The site lead

Where is it worth starting?

Every room has a case to make, and there’s no shared way to compare them.

Map the decisions across the site and rank them, and there is one list of where to start and what each start is worth.