Process Mining in Production Management, Intelligent Control, and Advanced KPI for Dynamic Process Optimization

Abstract

The book chapter is focused on the definition of efficient models to apply to production processes. Specifically, starting to business process modelling and notation (BPMN) approach, are defined rules and methods to integrate artificial intelligence (AI) and innovative key performance indicators (KPIs) for task checkpoints implementing a dynamic and intelligent decision-making approach. The whole theoretical mechanism constitutes a decision support system (DSS) model supporting risk analyses including aspects related to organization, predictive maintenance, and the use of technologies in the era of Industry 5.0. Particular attention is addressed on methods about the efficient monitoring of production processes by means process mining (PM) workflows. Different examples are provided in the book chapter, by enhancing the aspect related to the DSS logics and implementation of logic conditions. The discussed model opens a new topic about intelligent BPMN and process engineering including AI facilities strengthening decisions in operating processes.