Timing is part of the operation.
In complex operations, when something happens can matter as much as what happens. TOKNITH uses one temporal model to resolve these interactions.
Small timing differences propagate.
- A truck arriving two minutes earlier can change dock availability.
- A conveyor backing up can change worker productivity.
- A machine failure can alter every downstream operation.
- A patient arriving while no bed is available changes the entire flow.
- A worker reaching a station at the wrong time can create a delay that propagates through the system.
The model advances all of them together.
Discrete events represent changes that occur at identifiable points in time.
Continuous processes represent state that evolves through time.
Agents represent entities whose behavior depends on their state, rules, capabilities, environment, and interactions.
A discrete event cannot be evaluated on its own.
A discrete event cannot be evaluated independently of the continuous processes and agents surrounding it.
A worker reaches a station. A physical process continues running. A queue changes. An event occurs. An agent reacts. Another process changes. The model advances.
Everything remains temporally connected.
One clock resolves the interaction.
Time matters.
Operational interactions occur when they occur, not merely when a reporting system notices them.
One clock. One model. Many futures. One reality.
Model the operation. Rehearse the change. Connect it to reality.
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