Nothing close enough? Start from a blank petri net → Describe it in one paragraph.
How to use a petri net template.
- 01Identify places and transitions
List the states (e.g., machine idle, part ready) and events (e.g., start processing, part finished) in your manufacturing workflow.
- 02Draw the Petri net structure
Add places as circles and transitions as rectangles, then connect them with directed arcs to represent the flow.
- 03Set initial marking
Place tokens in the initial places to represent the starting state, resources, or parts in the system.
- 04Model synchronization and conflicts
Use multiple arcs or inhibitor arcs (if needed) to capture parallel processes, resource sharing, or capacity limits.
- 05Review and refine
Check for deadlocks or unreachable states and adjust the net accordingly.
Questions about petri net templates
What is a Petri net used for in manufacturing?
Petri nets are used to model discrete event systems in manufacturing, such as assembly lines, job shops, and automated cells, to analyze concurrency, synchronization, resource allocation, and potential deadlocks.
How do I represent a resource in a Petri net?
Resources are typically modeled as places with tokens indicating availability. When a transition consumes a token (resource) and later returns it, it models the resource being used and released.
Can I edit the example Petri nets to match my process?
Yes, all examples in this collection are fully editable. You can modify places, transitions, arcs, and token markings directly in the editor, then save or export your custom diagram.
What is the difference between a Petri net and a flowchart for manufacturing?
Flowcharts show sequential steps, while Petri nets explicitly model states (places) and events (transitions) along with concurrency and synchronization through token passing, making them better for analyzing complex interactions.
How do I know if my Petri net model is correct?
You can check for properties like liveness (no deadlocks) and boundedness (no unbounded token accumulation). Manually reviewing token flow or using analysis tools can help verify your model.