OC$$\pi $$: Object-Centric Process Insights

Adams, Jan Niklas; Aalst, Wil M. P. van der

doi:10.1007/978-3-031-06653-5_8

Cited by 12 publications

(3 citation statements)

References 13 publications

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“…However, the features were still not available in our Celonis instance at the moment in which the analysis was performed. Prototypal tools supporting the application of object-centric process mining techniques on top of OCELs are OCPM [9] and OCπ [10]. In Fig.…”

Section: • An Examination Of the Interactions Between The Enter Goods...mentioning

confidence: 99%

Analyzing Inter-Connected Processes: Using Object-Centric Process Mining to Analyze Procurement Processes

Berti

Jessen²,

Park

et al. 2023

Preprint

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The Purchase-to-Pay (P2P) process is one of the core business processes in any organization. It ensures the correct and efficient provisioning of materials and services. An efficient P2P process reduces operational costs by ensuring discounts, avoiding late payments, and choosing the optimal supplier for the goods. Process mining techniques help practitioners optimize the execution of P2P processes by analyzing the execution data and providing useful insights. However, existing techniques may result in misleading insights due to many-to-many relationships between business objects (for example, between orders and invoices in the P2P process). Recently, object-centric process mining techniques have been proposed to avoid the limitations of traditional process mining techniques. In this paper, we present a case study on a real-life P2P process using object-centric process mining techniques. To that end, we adopt the well-known PM$^{2}$ process mining project methodology to the object-centric setting and analyze the performance and compliance.

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Section: • An Examination Of the Interactions Between The Enter Goods...mentioning

confidence: 99%

Analyzing Inter-Connected Processes: Using Object-Centric Process Mining to Analyze Procurement Processes

Berti

Jessen²,

Park

et al. 2023

Preprint

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“…Celonis was the first commercial vendor fully supporting OCPM with the release of Process Sphere in 2022 [8]. Before, there were several non-commercial open-source tools supporting object-centricity, e.g., the "OCELStandard" package in ProM (promtools.org), the OC-PM tool (ocpm.info) [20], and Object-Centric Process Insights (ocpi.ai) [16]. A detailed explanation of these tools and the algorithms used is outside the scope of this paper.…”

Section: Object-centric Process Miningmentioning

confidence: 99%

Toward More Realistic Simulation Models Using Object-Centric Process Mining

Aalst¹

2023

ECMS 2023 Proceedings Edited by Enrico Vicario, Romeo Bandinelli, Virginia Fani, Michele Mastroianni

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Discrete-event simulation has been around for over half a century with applications in production, healthcare, logistics, transportation, etc. However, it is still challenging to create a reliable simulation model that mimics the actual process well and allows for “what-if” questions. Process mining allows for the automated discovery of stochastic process models using event data extracted from information systems. This technology is one of the key enablers for creating digital shadows and digital twins of operational processes. However, traditional process mining focuses on individual cases (e.g., an order, a patient, or a train) with events just referring to a single object (the case). Therefore, the discipline is moving to Object-Centric Process Mining (OCPM), where events can refer to any number of objects. Based on research on OCPM and the prototypes developed, now also commercial software vendors are embracing OCPM, as illustrated by Celonis Process Sphere, which allows for the discovery and analysis of object-centric process models. We believe that OCPM will help to create much more realistic simulation models. Whereas process discovery is backward-looking, with object-centric simulation models, we can also support forward-looking forms of process mining. Although such techniques still need to be developed, they provide a unique opportunity to create more realistic digital twins of organizations and their processes.

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“…In [10], the interconnections between different objects in an object-centric event log are used to define variants in the object-centric setting. In particular, the connected components of the object interaction graph are used to identify clusters of related objects.…”

Section: Related Workmentioning

confidence: 99%

Graph-Based Feature Extraction on Object-Centric Event Logs

Berti

Herforth

Qafari

et al. 2022

Preprint

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Process mining techniques are widely used to uncover performance and compliance problems. However, the traditional focus on a single object type (i.e., case) is a limiting factor when considering real-life information systems. Therefore, there is an increased interest in object-centric process mining. This paper proposes a graph-based approach for feature extraction on object-centric event logs. The conversion of the event log to a set of numeric vectors is the starting point for the application of any machine learning technique (classification, prediction, clustering, anomaly detection) on top of the event data. However, while feature extraction on traditional event logs is established, object-centric event logs are more difficult to encode in numeric features because the events are related to several interconnected objects. Here, we try to close this gap and propose techniques and tools implementing feature extraction on object-centric event logs. The usefulness of the proposed features is discussed on top of four problems in a Procure-to-Pay process.

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OC$$\pi $$: Object-Centric Process Insights

Cited by 12 publications

References 13 publications

Analyzing Inter-Connected Processes: Using Object-Centric Process Mining to Analyze Procurement Processes

Analyzing Inter-Connected Processes: Using Object-Centric Process Mining to Analyze Procurement Processes

Toward More Realistic Simulation Models Using Object-Centric Process Mining

Graph-Based Feature Extraction on Object-Centric Event Logs

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