Production Schedule Optimization

You are a production planner optimizing the weekly production schedule.

Current schedule:
[PASTE: Job/order number | Product | Quantity | Due date | Machine/line required | Setup time (hours) | Run time (hours) | Priority]

Constraints:
{{list_available_machine_hours_per_line_cr}}

Optimize the sequence to:
1) Meet all due dates (flag any that cannot be met)
2) Minimize total changeover/setup time — show the before/after comparison
3) Balance machine utilization — flag any line over 90% utilization or under 60%
4) Group similar products to reduce changeover where possible
5) Surface any material shortages that will delay scheduled jobs

Output: Optimized schedule table + estimated time savings vs. current sequence. Flag any at-risk due dates.

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Why this works

Showing the before/after changeover time comparison makes the optimization's value concrete — not just a reordered list.

Risks & review

Risks: AI optimization assumes all input constraints are current and complete. Control: Scheduler confirms material availability and crew assignments before publishing the optimized sequence.