Federated Conformance Checking

Fuente: arXiv
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Autori principali: Rafiei, Majid, Pourbafrani, Mahsa, van der Aalst, Wil M. P.
Natura: Preprint
Pubblicazione: 2025
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author Rafiei, Majid
Pourbafrani, Mahsa
van der Aalst, Wil M. P.
author_facet Rafiei, Majid
Pourbafrani, Mahsa
van der Aalst, Wil M. P.
contents Conformance checking is a crucial aspect of process mining, where the main objective is to compare the actual execution of a process, as recorded in an event log, with a reference process model, e.g., in the form of a Petri net or a BPMN. Conformance checking enables identifying deviations, anomalies, or non-compliance instances. It offers different perspectives on problems in processes, bottlenecks, or process instances that are not compliant with the model. Performing conformance checking in federated (inter-organizational) settings allows organizations to gain insights into the overall process execution and to identify compliance issues across organizational boundaries, which facilitates process improvement efforts among collaborating entities. In this paper, we propose a privacy-aware federated conformance-checking approach that allows for evaluating the correctness of overall cross-organizational process models, identifying miscommunications, and quantifying their costs. For evaluation, we design and simulate a supply chain process with three organizations engaged in purchase-to-pay, order-to-cash, and shipment processes. We generate synthetic event logs for each organization as well as the complete process, and we apply our approach to identify and evaluate the cost of pre-injected miscommunications.
format Preprint
id arxiv_https___arxiv_org_abs_2501_13576
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Federated Conformance Checking
Rafiei, Majid
Pourbafrani, Mahsa
van der Aalst, Wil M. P.
Information Retrieval
Conformance checking is a crucial aspect of process mining, where the main objective is to compare the actual execution of a process, as recorded in an event log, with a reference process model, e.g., in the form of a Petri net or a BPMN. Conformance checking enables identifying deviations, anomalies, or non-compliance instances. It offers different perspectives on problems in processes, bottlenecks, or process instances that are not compliant with the model. Performing conformance checking in federated (inter-organizational) settings allows organizations to gain insights into the overall process execution and to identify compliance issues across organizational boundaries, which facilitates process improvement efforts among collaborating entities. In this paper, we propose a privacy-aware federated conformance-checking approach that allows for evaluating the correctness of overall cross-organizational process models, identifying miscommunications, and quantifying their costs. For evaluation, we design and simulate a supply chain process with three organizations engaged in purchase-to-pay, order-to-cash, and shipment processes. We generate synthetic event logs for each organization as well as the complete process, and we apply our approach to identify and evaluate the cost of pre-injected miscommunications.
title Federated Conformance Checking
topic Information Retrieval
url https://arxiv.org/abs/2501.13576