Production Planning Copilot
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Quality, Maintenance & Production
Production Planning Copilot
A production schedule that balances due dates, machines and materials, and re-plans when reality changes.
Generates and continuously re-optimises the production schedule from the order book, machine/line capacity, material availability and changeover constraints, and re-plans automatically when a machine goes down or material slips.
10–20%
better on-time delivery
10–15%
higher utilisation
Minutes
to re-plan after a disruption
The impact
Higher on-time delivery and machine utilisation, with a plan that survives contact with the real shop floor.
10–20%
better on-time delivery
10–15%
higher utilisation
Minutes
to re-plan after a disruption
Who it's for
- Plants scheduling by spreadsheet and one veteran planner
- OEMs penalised for missed delivery dates
- Factories with frequent breakdowns or rush orders
- Job shops with heavy changeover and sequencing constraints
What you get
- Optimised daily/shift production schedule
- Changeover- and material-aware sequencing
- Automatic re-plan on breakdown or material slip
- At-risk-order highlighting for customer comms
- Supervisor-ready shift priority sheets
The pipeline
How it works, end to end.
Every step is built, benchmarked, and wired into your stack. Here is exactly what happens.
Read the constraints
It pulls the order book, due dates, machine/line capacity, manning, material availability and changeover/sequence rules.
Optimise the schedule
The copilot sequences jobs to hit due dates while minimising changeovers and idle time, respecting material readiness.
Publish the plan
A clear daily/shift plan goes to supervisors with priorities and expected throughput.
Sense disruptions
A breakdown, urgent order or material delay is detected from shop-floor and supplier signals.
Re-plan
It re-optimises and pushes the updated schedule, highlighting what changed and which orders are now at risk.
Human checkpoint
The planner reviews and approves the plan/re-plan, applying judgement on priority customers.
Read the constraints
It pulls the order book, due dates, machine/line capacity, manning, material availability and changeover/sequence rules.
Optimise the schedule
The copilot sequences jobs to hit due dates while minimising changeovers and idle time, respecting material readiness.
Publish the plan
A clear daily/shift plan goes to supervisors with priorities and expected throughput.
Sense disruptions
A breakdown, urgent order or material delay is detected from shop-floor and supplier signals.
Re-plan
It re-optimises and pushes the updated schedule, highlighting what changed and which orders are now at risk.
Human checkpoint
The planner reviews and approves the plan/re-plan, applying judgement on priority customers.
Under the hood
The data flow, wired into your tools.
Reads
- Order book and due dates
- Machine/line capacity and manning
- Material and component availability
- Changeover and sequence rules
Produces
- Daily/shift production plan
- Re-optimised schedule after disruptions
- At-risk order list
- Expected throughput per line
Before & after
What changes once it ships.
Schedule lives in a spreadsheet and one planner’s head
Optimised, constraint-aware plan published each shift
A breakdown forces hours of manual re-shuffling
Re-plan in minutes with at-risk orders flagged
Jobs scheduled without checking material readiness
Only jobs with material and capacity are scheduled
Why it matters
The business case
When planning lives in one veteran’s head and a spreadsheet, every breakdown or rush order forces a manual re-shuffle that takes hours and quietly pushes other customers late, hurting both on-time delivery and machine utilisation. Late deliveries cost penalties and nominations; idle machines waste fixed cost. A copilot that re-optimises in minutes around due dates, changeovers and material readiness lifts on-time delivery 10–20% and utilisation 10–15%, turning the plan into something that survives the real shop floor instead of collapsing by mid-shift.
FAQ
Production Planning Copilot: your questions, answered.
Do we need an APS or MES already?+
No. It can run off your order book and a capacity model in spreadsheets/ERP to start, and integrate deeper with MES/APS later if you have one. You get planning value without buying heavy systems first.
How does it handle a sudden machine breakdown?+
It re-optimises the schedule in minutes, reshuffling jobs across available machines, and tells you exactly which orders are now at risk so you can warn customers early rather than late.
Can it account for changeovers and sequencing rules?+
Yes. It respects changeover times and sequence-dependent rules (e.g. light-to-dark colours, die changes), grouping similar jobs to cut setup losses.
Does it consider material availability, not just machines?+
Yes. It cross-checks material and component readiness (linked to the inventory and supplier flows) so it doesn’t schedule a job you can’t actually start.
Will supervisors actually follow an AI plan?+
The plan is a recommendation the planner approves, delivered in plain shift-level priorities supervisors can act on. It augments your planner’s judgement rather than overriding the people who know the floor.
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