Built first for packaging manufacturing complexity
Which plant should run this order? Packaging networks answer that question with experience and spreadsheets — with no visibility into the true landed cost (setup + run + freight) of one site versus another. ConstraintFlow decides across plants first, then turns changeovers, tooling, and delivery pressure into optimized, executable plans.
- Multi-plant production decisions on landed cost
- Frequent, last-minute order changes
- Per-line machine speeds and format constraints
- Costly size, material, and color changeovers
- Tooling and die availability
- Combinatorial SKU complexity
- On-time delivery and service-level pressure
ConstraintFlow runs live across an 11-plant packaging network — recommending cost-optimal site and machine assignments on real orders since June 2026, validated by the customer's own master schedulers.
How we measure results →One intelligence. Many modules. Nine Operational Intelligence Modules on one platform — Production Scheduling runs in production today, and every module plugs into the same operational model, the same learning loop, and the same governance.
Packaging plants run on heroics and spreadsheets
The operational complexity of packaging overwhelms ERP, MES, and the planners trying to hold it together by hand.
Where to produce across plants is a network optimization problem treated as a series of local guesses — nobody sees the true landed cost of setup, run, and freight at one site versus another.
In envelope converting, a die-match changeover can run 2 hours; a full product change can run 21. Most systems treat both as the same constant — and the schedule rarely sequences to avoid the expensive ones.
Volume swings and spec changes force constant manual rebuilds of the production schedule.
Plans that ignore tooling availability look fine on paper and fall apart on the floor.
The number of size/material/color combinations is far beyond what a spreadsheet can optimize.
From order chaos to an optimized, feasible schedule
ConstraintFlow models the real constraints of a packaging plant and continuously optimizes the schedule against them.
Constraint-aware scheduling
Builds schedules that respect line capabilities, tooling, labor, and materials — then re-sequences as orders change.
Changeover minimization
Sequences compatible runs to cut size, material, and color changeovers and reclaim run time.
Line & format matching
Allocates each order to the right line and format based on real machine capabilities and current load.
Multi-plant optimization
Decides where to produce across plants on total landed cost — balancing capacity, setup, freight, and delivery commitments.
Due-date prioritization
Prioritizes orders against due dates and margins so the plant runs what matters most.
Live plan visibility
Gives planners and leadership a live view of the schedule, constraints, and trade-offs.
Outcomes packaging leaders care about
Reclaim capacity from changeovers
When setups range from 2 to 21 hours, smarter sequencing turns setup time back into productive run time.
Lower true landed cost per order
Cross-plant assignment on setup + run + freight, not local guesses — proven in production across an 11-plant network.
Improve on-time delivery
Constraint-aware prioritization helps you hit the dates you've promised.
Reduce planning effort
Replace fragile spreadsheets and constant rework with optimized plans — and keep expert scheduling knowledge as schedulers retire.
The packaging decisions ConstraintFlow optimizes
Packaging plants juggle setups, tooling, materials, and delivery commitments at the same time. ConstraintFlow optimizes across all of them together.
Changeover Optimization
Sequence runs to minimize size, material, and color changeovers and reclaim setup time as run time.
Tooling Constraints
Respect die and tooling availability so plans that look good on paper actually run on the floor.
Multi-Plant Allocation
Decide where to produce across plants to balance capacity, freight, cost, and delivery commitments.
Material Availability
Align schedules with substrate and material availability to avoid stalls and last-minute rework.
Delivery Commitments
Prioritize against promised dates and service levels so the orders that matter ship on time.
Production Sequencing
Build feasible run sequences that respect line capabilities, labor, tooling, and materials at once.
Built for every packaging format
ConstraintFlow models the constraints of the formats packaging plants actually run.
- Envelopes
- Labels
- Folding cartons
- Flexible packaging
- Corrugated
Go deeper
See ConstraintFlow on your packaging operation
Tell us about your operation and we'll map ConstraintFlow to your lines, tooling, and delivery commitments.