Description:
The digitizing of a production process is a set of tools and approaches that enables:
- The modelling of the production process using standardised process model notation (BPMN) and complementary modelling objects to provide a holistic representation of the digitized process.
- The integration of process log data – provided by legacy systems – and process models in order to represent the current status of the production process.
- The analysis, simulation and visualisation of the current production process status to support decision making or to automatically trigger decisions.
The digitisation of a production process requires several parts from which the following are considered as pre-conditions:
- Digital Sensors, Edge-Infrastructure, Networking and process logs – e.g. in a time series database are considered as legacy systems.
The provision of a digital twin consists of
- Production Process Model is performed via
- Process model notation to describe the sequence of actions
- Key Performance Indicators (KPI) describing the plan vs. actual status of the process
- IT- governance and deployment model describing the relevant parts of the IT and Edge infrastructure for the digitization of the process
- Production Process Status is generated via the configuration of aforementioned Key Performance Indicators that are linked to interfaces that access the legacy log files – e.g. in form of a query accessing the time series database or in form of registering to events on a message bus.
- Decision Support is provided via Analysis, Simulation and Visualization Algorithms in form of a set of services that operate on top of aforementioned model and process status data. Additional external services – e.g. for process mining – may be integrated via interfaces.
Simulation complements the monitoring of the production process by providing a model-based approach to configure both, (a) the monitoring that is based on model-based Production Process KPIs as well as (b) the simulation that is based on weighted multiple parameters to calculate probabilities.
- Based on BPMN 2.0: the business process modelling and notation standard is provided.
- Complementing data-driven or mining approaches can be integrated into the smart and flexible Process Dashboard.
- Collaboration features enable learning cycles and co-creation.
The smart and flexible process dashboard can be integrated into legacy collaboration systems like e.g. Confluence.
ADONIS
- https://www.boc-group.com/en/adonis/
- Community Edition: https://www.adonis-community.com/en/account-registration/
- Get Started: https://www.boc-group.com/de/adonis/get-started/
ADOIT
- https://www.boc-group.com/en/adoit/
- Community Edition: https://www.adoit-community.com/en/account-registration/
ADOGRC
- https://www.boc-group.com/en/adogrc/
- Demo Request: https://www.boc-group.com/de/adogrc/request-a-demo/
Use Case:
Dependencies:
