PM4Py is a Python library providing a comprehensive array of tools for process mining. This
paper presents an in-depth overview of the PM4Py library, including its integration with other …

The engineering of digital twins and their user interaction parts with explicated processes,
namely process-aware digital twin cockpits (PADTCs), is challenging due to the complexity …

The recent rise of using digital representations for products and processes has created a
movement to use 'digital twins' for organization design. We provide an overview of the notion …

As business environments become more dynamic and complex, it becomes indispensable
for organizations to objectively analyze business processes, monitor the existing and …

Organizations act in dynamic and constantly changing business environments, as the
current times unfortunately illustrate. As a consequence, business processes need to be …

Process mining is advancing as a powerful tool for revealing valuable insights about
process dynamics. Nevertheless, the imperative to employ process mining to enhance …

Modern organizations necessitate continuous business processes improvement to maintain
efficiency, adaptability, and competitiveness. In the last few years, the Internet of Things, via …

Process mining uses event sequences recorded in information systems to discover and
analyze the process models that generated them. Traditional process mining techniques …

Abstract ocpa is a Python library supporting object-centric process mining. Traditional
process mining generates insights for one single process. However, many real-life …

Transformative developments have been brought in across several industries. Digital twin
technologies are one of them. This revolutionary innovation has enhanced efficiency …