Three forms of behavior. One operation.
TOKNITH's model is not limited to one simulation methodology. Discrete events, continuous processes, and agent behavior are three forms of behavior within one operational model.
Discrete events represent things that happen at identifiable points in time.
Continuous processes represent things that change through time.
Agents represent entities that behave within the system. They move, interact, make decisions, and respond according to their state, environment, rules, and capabilities.
Discrete events
Things that happen.
- Order release
- Arrival
- Departure
- Job completion
- Machine failure
- Bed assignment
- Shipment cutoff
- Wave release
Continuous processes
Things that change through time.
- Position
- Velocity
- Conveyor movement
- Accumulation
- Temperature
- Fluid level
- Battery charge
- Physical process state
Agents
Entities that behave within the system. Agents can have individual state, location, capabilities, rules, priorities, tasks, interactions, availability, and responses to their environment.
- Workers
- Patients
- Forklifts
- Vehicles
- AMRs
- AGVs
- Robots
- Machines
These are not three independent simulations.
They interact.
A worker moves. A conveyor runs. A tote arrives. A queue forms. A machine completes. An agent responds. An event occurs. The model continues.
Events happen. Processes evolve. Agents act.
Agent-based modeling is not AI.
TOKNITH's use of "agents" refers to agent-based modeling, not artificial intelligence agents. An agent is a modeled participant in the operation. A worker can be an agent. A forklift can be an agent. An AMR can be an agent. A patient can be an agent. A vehicle can be an agent. A robot can be an agent.
Their behavior is part of the operational model. AI may eventually operate on top of TOKNITH. That is a separate capability. The underlying model does not require AI to be valid.
One clock. One model. Many futures. One reality.
Model the operation. Rehearse the change. Connect it to reality.
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