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Platform for Business Process Management

App related to Business Consultancy in the context of IT & Computing

Provided by BOC Group 7 months, 1 week ago (last modified 7 months, 1 week ago); viewed 248 times


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.


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