ABSTRACT
BPMN is a standard business process modeling notation. The Internet of Things Digital Twin – Business Process Model Notation (IoTDT-BPMN) expands this BPMN standard by enabling the modeling of tasks performed by IoT devices within these processes using the concept of a digital twin. The proposed metamodel, based on the JADE multi-agent platform, allows for a more accurate representation of system behaviors based on the operation of the multi-agent system. This enables more effective planning, monitoring, and optimizing processes involving interactions with intelligent devices and systems. The application of multi-agent systems in constructing digital twins is inherently linked to the concept of Explainable Artificial Intelligence (XAI). In such systems, collaborating agents make decisions based on consensus. To elucidate the decisions made by individual agents, it is essential to understand how their actions influence each other and the system as a whole. The theoretical objective of this chapter is to analyze the literature on the integration of digital twin theory in supporting the operation of medical laboratories and the processes that occur within them. The practical aim of this chapter is to demonstrate the potential use of IoTDT-BPMN in automating the operation of a robotic arm, for which a digital twin will be developed, along with sample processes demonstrating its application within medical laboratory workflows.
