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Welcome to the Open Manufacturing Model (OMM) documentation! OMM is a standardized data model designed to facilitate communication within and between manufacturing systems. It provides a lightweight, flexible framework for representing manufacturing entities, processes, and relationships. OMM also provides a standardized approach to model manufacturing systems for Digital Twins, as exemplified by our object-oriented reference implementation in Python.

What is OMM?​

The Open Manufacturing Model (OMM) is a data modeling framework that enables:

  • Standardized representation of manufacturing entities and processes
  • Easy integration of different manufacturing components
  • Enables full transparancy and traceability of the manufacturing system
  • Foundation for building Digital Models, Digital Shadows, and Digital Twins
  • Lightweight and flexible implementation

Inspired by the Open Trip Model used in logistics, OMM adapts similar principles to address the specific needs of manufacturing systems. See OTM versus OMM for more details.

Core Concepts​

OMM is built around several key concepts that represent different aspects of a manufacturing system:

Physical Entities​

  • Resources: Physical assets used in manufacturing (machines, tools, vehicles)
  • Locations: Physical spaces where manufacturing activities occur
  • Products: Items being manufactured
  • Parts: Components and materials used in manufacturing

Operational Entities​

  • Actions: Manufacturing operations and processes
  • Jobs: Scheduled manufacturing tasks
  • Workers: Human operators and technicians
  • Routes: Paths for material and resource movement

For a quick start on the entities in OMM, please see OMM in 5 Minutes. For technical details about specific components, refer to the Python Reference section.

Getting Started​

To start using OMM in modelling, simulating, or controlling your manufacturing system:

  1. Understand the Model: Review the documentation to understand OMM's core concepts
  2. Identify Components: Map your manufacturing system's components to OMM entities
  3. Implement Classes: Use the provided Python implementation or create your own
  4. Define Relationships: Establish connections between different entities
  5. Monitor States: Track and update entity states through data-exchange with the (simulated) manufacturing system

Python Implementation​

OMM includes a Python Reference Implementation that demonstrates how to implement the model:

# Create a manufacturing location
manufacturing_site = Location(
    name="Fraunhofer Innovation Platform at the University of Twente",
    georeference=[52.23766202998197, 6.848024162213785],
    location_type=LocationType.EXTERNAL
)

# Create a manufacturing resource
printer = Machine(
    name='Bambu_X1C_01',
    machine_type='Bambu Lab X1C 3D Printer',
    georeference=[10.0, 20.0, 0.9], # internal coordinates
    capabilities=[
        'multi_material_printing',
        'abs_printing',
        'pla_printing',
        'petg_printing'
    ],
    sensors=[
        Sensor('nozzle_temperature'),
        Sensor('bed_temperature'),
        Sensor('chamber_temperature'),
        Sensor('filament_flow')
    ]
)

# Define a manufacturing action
print_action = Action(
    name='Print Pikachu',
    action_type=ActionType.PROCESS,
    description='3D print miniature Pikachu with multiple colors',
    duration=8.0,  # 8 hours estimated print time
    sequence_nr=1,
    location=printer # location where action is performed
)

Benefits of Using OMM​

  • Standardization: Common language for describing manufacturing systems
  • Interoperability: Easy integration between different systems
  • Flexibility: Adaptable to various manufacturing scenarios
  • Digital Twin Ready: Reference implementation in Python to model or simulate real-world systems
  • Maintainability: Clear structure and relationships
  • Scalability: Can represent both simple and complex systems

Learn by Example​

Various tutorials are provided to learn how to use OMM.

Next Steps​

The Open Manufacturing Model, the accompying Python implementation, and this documentation is still very much under active development. If you want to be involved, please contact Berry Gerrits or visit the GitHub page.

note

To fully appreciate the standardized data model of OMM, a standardized API based on OMM should be developed. This is currently not yet available. A first hint on how a (json-formatted) response of a Get request could look like, is demonstrated in the to_dict methods of the various classes in the Python Reference Implementation.

Acknowledgments​

The Open Manufacturing Model is being developed by dr. ir. Berry Gerrits. The development of OMM is part of the NXTGEN Hightech Growth Fund, financed by the Dutch Government. More specially, the Open Manufacturing Model is the result of activities carred out in the Smart Industry 02 Autonomous Factory - Industrieel Cluster Oost. Or for brevity, Factory2030.