Guideline for Manual Process Discovery in Industrial IoT

TL;DR

This paper develops adaptable guidelines for applying process discovery methods to industrial IoT environments, enabling efficient and cost-effective modeling of complex industrial processes.

Contribution

It introduces a standardized approach that adapts classic process discovery methods for industrial IoT, filling a gap in existing techniques.

Findings

Guidelines for adapting process discovery methods to IIoT.

A combined, standardized discovery approach for industrial processes.

Enhanced efficiency and cost-effectiveness in process modeling.

Abstract

In industry, the networking and automation of machines through the Internet of Things (IoT) continues to increase, leading to greater digitalization of production processes. Traditionally, business and production processes are controlled, optimized and monitored using business process management methods that require process discovery. However, these methods cannot be fully applied to industrial production processes. Nevertheless, processes in the industry must also be monitored and discovered for this purpose. The aim of this paper is to develop an approach for process discovery methods and to adapt existing process discovery methods for application to industrial processes. The adaptations of classic discovery methods are presented as universally applicable guidelines specifically for the Industrial Internet of Things (IIoT). In order to create an optimal process model based on process evaluation, different methods are combined into a standardized discovery approach that is both efficient and cost-effective.