AIOct 21, 2022

Monitoring Constraints in Business Processes Using Object-Centric Constraint Graphs

arXiv:2210.12080v18 citationsh-index: 159
Originality Incremental advance
AI Analysis

This addresses the issue of misleading insights from existing single-case monitoring techniques for businesses with complex, object-centric processes.

The paper tackles the problem of monitoring constraints in business processes where multiple interacting objects exist, such as in Order-To-Cash processes, by proposing Object-Centric Constraint Graphs (OCCGs) and evaluating them using real-life SAP ERP data.

Constraint monitoring aims to monitor the violation of constraints in business processes, e.g., an invoice should be cleared within 48 hours after the corresponding goods receipt, by analyzing event data. Existing techniques for constraint monitoring assume that a single case notion exists in a business process, e.g., a patient in a healthcare process, and each event is associated with the case notion. However, in reality, business processes are object-centric, i.e., multiple case notions (objects) exist, and an event may be associated with multiple objects. For instance, an Order-To-Cash (O2C) process involves order, item, delivery, etc., and they interact when executing an event, e.g., packing multiple items together for a delivery. The existing techniques produce misleading insights when applied to such object-centric business processes. In this work, we propose an approach to monitoring constraints in object-centric business processes. To this end, we introduce Object-Centric Constraint Graphs (OCCGs) to represent constraints that consider the interaction of objects. Next, we evaluate the constraints represented by OCCGs by analyzing Object-Centric Event Logs (OCELs) that store the interaction of different objects in events. We have implemented a web application to support the proposed approach and conducted two case studies using a real-life SAP ERP system.

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