The Factory of Constraints · Co-founder · industrial decision support
Deltara — making factory plans feasible
A low-waste cutting plan is not automatically a schedule a factory can run.
Slitting optimizer demonstrated · APS proposed · MRP future
The situation
In a flexible-film plant, giant jumbo rolls are slit into narrower rolls for customer orders. Sales wants to keep delivery promises. PPIC needs a schedule that can actually run. Production needs stable machine runs.
Their goals collide whenever urgent orders, changing film specifications and finite machine capacity meet. The design problem is to make those physical and organizational constraints visible, so people can approve a plan that works.
- Sales teams keeping customer promises
- PPIC planners building schedules
- Production running the machines
What I did
I co-founded Deltara. Its work with a flexible-film manufacturer centres on this planning problem, in three layers at three different stages: a slitting optimizer that has been demonstrated, a proposed planning and scheduling system, and a possible later phase for materials.
Which parts I personally designed, led or built is being documented, and the client is not named until permission is confirmed.
- Optimization
- Production planning
- Systems architecture
- Data integration
Decisions that shaped it
Treat cutting and scheduling as one problem
A pattern that minimises trim can still break child-station limits, core and width rules, or the sequence downstream. Slitting and scheduling may need to feed back into each other rather than run one-way.
Documented
Model the constraints people actually live with
Finite machine capacity, changeovers, jumbo-roll availability and cooling, aging and transfer times all shape what is feasible — so they are first-class inputs, not afterthoughts.
Documented
Keep a human approval step
The proposed system presents schedule options and delivery risk. Planners approve or override, and only approved plans are exported toward ERP-compatible execution templates.
Proposed
What was made
Where it stands
Slitting / trim optimization
DemonstratedJumbo-to-child roll pattern choices with machine-specific feasibility checks.
Demonstrated in meeting materials. No plant-scale savings are claimed.
Advanced planning & scheduling (APS)
Proposed / scopedFinite scheduling across machines with changeovers, availability and approval.
A proposed implementation — not deployed software.
Materials & inventory planning (MRP)
Future phaseAvailability, safety stock and replenishment questions.
A possible later phase, outside the confirmed initial scope.
Results
Not claimed yet. Results appear here only once they are documented — until then, this page shows what was designed, built or proposed.
Limits and honest caveats
- No go-live, throughput gain or trim saving is claimed.
- Working assumptions discussed during scoping (such as a frozen pre-production window and typical lead times) are not validated policies.
- An indicative project timeline from the scoping document is not a committed delivery date.
In the Living Mind
This world feeds these lessons: