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Business Process Modeling and Notation
Published in Vivek Kale, Enterprise Process Management Systems, 2018
The sophistication of executable BPMN and of its supporting BPMS is one of its strengths, especially when compared with the lesser support for process enactment found in other software process modeling notations. A range of BPMS support the enactment of BPMN process models, ranging from sophisticated commercial solutions such as IBM® Business Process Manager (IBM Corp., Armonk, NY); Oracle Business Process Management Suite (Oracle Corp., Redwood City, CA); and Bizagi BPM Studio (Bizagi, Chalfont St. Peter, UK) to open-source alternatives including Bonita BPM and Camunda BPM Platform.
Concept and basic framework prototype for a flexible and intervention-independent situation recognition system in the OR
Published in Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2022
Denise Junger, Bernhard Hirt, Oliver Burgert
The Situation Interpretation contains interpretation modules that map sensor knowledge data to situations (e.g. phases), i.e. recognise the current situation in the OR immediately. For this, situation rules from the internal data storage are used, which contain (learned) interpretation rules for different sensor data. The Knowledge Management component provides Process knowledge via its knowledge handler. The process knowledge is retrieved from the Workflow Engine as well as from data storages (e.g. the actual step, possible next steps). The interpreted situation data (Situation knowledge of phase, step, activity, remaining surgery duration (RSD), and delay, as well as the pre-interpreted knowledge from sensors and process) is persisted and forwarded to the Knowledge Management. Within the Knowledge Management unit, different knowledge is requested for the Situation Interpretation. This includes Process knowledge from the fourth layer, individual surgical process models (SPMs) from the internal data storage, and OR planning data from an external data storage, an OR planning system. In addition, Situation knowledge from the Situation Interpretation component is transferred to the Workflow Management layer. This contains a Workflow Engine (in our case Camunda BPMN Workflow Engine (Camunda 2021)) that manages and controls the workflows of the ORs based on SPMs that represent the intra-operative processes taking place and the transferred Situation knowledge. The SPMs can be created via a Workflow Modeller. In addition, the engine informs Context-aware systems about the current situation in the OR via the Situation Subscription Management component.
An architecture for IoT-enabled intelligent process-aware cloud production platform: a case study in a networked cloud clinical laboratory
Published in International Journal of Production Research, 2020
The core part of the architecture is a BPMS technology that handles managing clinical analysis workflow. In the described case, Camunda workflow engine is used. This engine manages the flow of user-machine interactions through the formed generated by Formio technology. It also supports enacting composed services. The services are developed and run by a Java based Integrated Development Environment (IDE).
The digital twin implementation for linking the virtual representation of human-based production tasks to their physical counterpart in the factory-floor
Published in International Journal of Computer Integrated Manufacturing, 2019
Nikolaos Nikolakis, Kosmas Alexopoulos, Evangelos Xanthakis, George Chryssolouris
The use of Camunda business process management (BPM) engine has enabled the implementation of the ‘closed-loop control’ layer (by integrating the relevant services) along with the ‘digital twin’ layer’s control function into a single workflow resulting in the ‘digital twin’ simulated execution.