Artifact-Driven Business Process Monitoring: A Novel Approach to Transparently Monitor Business Processes, Supported by Methods, Tools, and Real-World Applications

Description

This book proposes a novel technique, named artifact-driven process monitoring, by which multi-party processes, involving non-automated activities, can be continuously and autonomously monitored. This technique exploits the Internet of Things (IoT) paradigm to make the physical objects, participating in a process, smart. Being equipped with sensors, a computing device, and a communication interface, such smart objects can then become self-aware of their own conditions and of the process they participate in, and exchange this information with the other smart objects and the involved organizations. To allow organizations to reuse preexisting process models, a method to instruct smart objects given Business Process Model and Notation (BPMN) collaboration diagrams is also presented. The work constitutes a revised version of the PhD dissertation written by the author at the PhD School of Information Engineering of Politecnico di Milano, Italy. In 2019, the PhD dissertation won the “CAiSE PhD award”, granted to outstanding PhD theses in the field of Information Systems Engineering. Front Matter ....Pages i-xiii Introduction (Giovanni Meroni)....Pages 1-11 Related Work (Giovanni Meroni)....Pages 13-36 Artifact-Driven Process Monitoring Overview (Giovanni Meroni)....Pages 37-43 E-GSM: An Artifact-Centric Language for Process Monitoring (Giovanni Meroni)....Pages 45-60 A Method to Easily Configure the Monitoring Platform (Giovanni Meroni)....Pages 61-92 Assessing and Improving Process Monitorability (Giovanni Meroni)....Pages 93-106 Implementing and Evaluating Artifact-Driven Process Monitoring (Giovanni Meroni)....Pages 107-120 Conclusions (Giovanni Meroni)....Pages 121-130 Back Matter ....Pages 131-161