OC-PM: Analyzing Object-Centric Event Logs and Process Models

TL;DR

This paper introduces object-centric process mining, a new approach for analyzing event logs from systems like SAP that captures interactions among different object types without forcing mutually exclusive event groupings.

Contribution

It presents techniques for exploring, filtering, and modeling object-centric event logs, along with the development of the OC-PM tool for practical application.

Findings

Effective exploration of object lifecycle in logs

Construction of process models for multiple object classes

Implementation of comprehensive tool support

Abstract

Object-centric process mining is a novel branch of process mining that aims to analyze event data from mainstream information systems (such as SAP) more naturally, without being forced to form mutually exclusive groups of events with the specification of a case notion. The development of object-centric process mining is related to exploiting object-centric event logs, which includes exploring and filtering the behavior contained in the logs and constructing process models which can encode the behavior of different classes of objects and their interactions (which can be discovered from object-centric event logs). This paper aims to provide a broad look at the exploration and processing of object-centric event logs to discover information related to the lifecycle of the different objects composing the event log. Also, comprehensive tool support (OC-PM) implementing the proposed techniques is described in the paper.