A decision-ready model of how the operation actually works.
ConstraintFlow maintains the relationships between orders, machines, materials, capabilities, constraints, schedules and outcomes so operating decisions can be evaluated before they reach the floor.
At platform level, ConstraintFlow maintains a Living Operational Model — a continuously updated representation of the entities, relationships, context, constraints and state required to make decisions. The Operational Digital Twin described on this page is the manufacturing implementation of that abstraction: plants, machines, orders, materials, inventory, labor, capabilities, constraints and production state. In life sciences, the same abstraction becomes a Scientific Context Model representing genes, proteins, targets, diseases, variants, experiments, datasets, publications, evidence, hypotheses and research programs — the term "digital twin" is not forced onto research work.
An operational digital twin is a continuously updated, decision-ready model of a manufacturing operation. Unlike a 3D visualization or a static data warehouse, it captures the relationships and constraints that determine what is feasible: which orders exist, which machines can run them, what materials and tooling are available, what capacity remains and which customer commitments are at risk. ConstraintFlow uses this model to evaluate options and recommend the best available action before it reaches the floor.
Traditional systems record what happened. ConstraintFlow's operational model represents what is happening now, what is possible next and what each decision will affect—so planners can weigh trade-offs instead of rebuilding spreadsheets. Because every capability works from the same model, a change in one area (a late material, an unavailable machine, a new rush order) is immediately visible to scheduling, inventory, purchasing and customer-delivery decisions alike.
The relationships that decisions depend on.
- Orders
- Customers
- Plants
- Machines
- Machine groups
- Capabilities
- Tooling
- Materials
- Inventory
- Labor
- Routes
- Schedules
- Constraints
- Business rules
- Production events
- Outcomes
The model changes as the operation changes.
A decision made against a stale model is a guess. ConstraintFlow keeps the model current as conditions on the floor evolve.
- Orders change
- Inventory changes
- Machines become unavailable
- Production is completed
- New constraints are discovered
- Capabilities are corrected
- Planner feedback is captured
One model, many decisions.
Scheduling
Simulation
Risk detection
Capacity analysis
Inventory decisions
Purchasing prioritization
Customer impact analysis
Cross-plant allocation
Root-cause analysis
A decision-ready model, not a picture of the plant.
- It is not merely a 3D visualization.
- It is not a static data warehouse.
- It is not a copy of ERP records.
- It is a decision-ready operational model.
Scheduling was the first module of the operational digital twin to enter production—not the twin itself. The same model supports inventory, purchasing, capacity and customer-commitment decisions, all available for deployment today.
See the model against your own operation.
Bring one difficult operating decision and we will show how the operational model evaluates feasibility, risk and impact before it reaches the floor.