In the last years, the Internet of Things has been adopted in several sectors, influencing and enhancing how people and organisations work leading to the establishment of the term IoT-aware business process. Such a concept is now pushed forward by the rise of digital twins that have become more affordable and promise to drive the future of business processes.
Advanced ways of managing and maintaining business processes come within reach as there is a Digital Process Twin of the real process with real-time capabilities. A digital process twin is a virtual replica of the near-time process occurrences in an organization. Thousands of sensors are being placed to monitor physical processes, all collecting data from different dimensions, such as environmental conditions, behavioural characteristics of machines and their users, and work that is being performed. All this data is continuously collected, elaborated and exchanged in such a way to guide day-to-day organization activities.
Digital process twins, together with the advancement in artificial intelligence, cloud, and edge computing, offer a great amount of business potential by predicting the future instead of analyzing the past of the processes. The representation of reality created by digital process twins allows us to evolve towards ex-ante business practices.
The objective of the DT4BP workshop is to attract researchers and industry practitioners to discuss the continuous enhancement of business processes including IoT aspects, up to the concept of Digital Process Twin, and present open challenges, state of the art, in-progress research, and practical experiences, including case studies.
During the workshop we will have brainstorming sessions which conclusions might be of inspiration for the co-creation of a manifesto regarding the integration of Business Processes and Digital Twins.
The workshop is co-located with the 21st International Conference on Business Process Management .
The topics of the workshop include, but are not limited to:
Business Process Management and Digital Twins
Design and Management of Digital Process Twins
Conceptual Modelling of Digital Process Twins
Framework Definition for Digital Process Twins
Digital Process Twins Simulation
Digital Process Twins for What-if Process Analysis
Quality Assurance of Digital Process Twins
Enactment of Digital Process Twins
Collaboration among Digital Process Twins
Interaction and cooperation between Digital Process Twins and Humans
Practical validation and case studies of Digital Process Twins
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