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Business Process Simulation (BPS) is a common approach to estimate the impact of changes to a business process on its performance measures. For example, it allows us to estimate what would be the cycle time of a process if we automated one…

Software Engineering · Computer Science 2024-02-05 David Chapela-Campa , Marlon Dumas

Business Process Simulation (BPS) is an approach to analyze the performance of business processes under different scenarios. For example, BPS allows us to estimate what would be the cycle time of a process if one or more resources became…

Software Engineering · Computer Science 2023-03-31 David Chapela-Campa , Ismail Benchekroun , Opher Baron , Marlon Dumas , Dmitry Krass , Arik Senderovich

Simulation is a common approach to predict the effect of business process changes on quantitative performance. The starting point of Business Process Simulation (BPS) is a process model enriched with simulation parameters. To cope with the…

Software Engineering · Computer Science 2024-08-27 Orlenys López-Pintado , Serhii Murashko , Marlon Dumas

Business process simulation (BPS) is a key tool for analyzing and optimizing organizational workflows, supporting decision-making by estimating the impact of process changes. The reliability of such estimates depends on the ability of a BPS…

Machine Learning · Computer Science 2025-05-29 Konrad Özdemir , Lukas Kirchdorfer , Keyvan Amiri Elyasi , Han van der Aa , Heiner Stuckenschmidt

Business Process Simulation (BPS) refers to techniques designed to replicate the dynamic behavior of a business process. Many approaches have been proposed to automatically discover simulation models from historical event logs, reducing the…

Software Engineering · Computer Science 2025-06-25 Francesco Vinci , Gyunam Park , Wil van der Aalst , Massimiliano de Leoni

Business process simulation is a versatile technique for analyzing business processes from a quantitative perspective. A well-known limitation of process simulation is that the accuracy of the simulation results is limited by the…

Software Engineering · Computer Science 2020-04-21 Bedilia Estrada-Torres , Manuel Camargo , Marlon Dumas , Maksym Yerokhin

Business process simulation is an approach to evaluate business process changes prior to implementation. Existing methods in this field primarily support tactical decision-making, where simulations start from an empty state and aim to…

Software Engineering · Computer Science 2025-09-10 Maksym Avramenko , David Chapela-Campa , Marlon Dumas , Fredrik Milani

Business process simulation (BPS) is a versatile technique for estimating process performance across various scenarios. Traditionally, BPS approaches employ a control-flow-first perspective by enriching a process model with simulation…

Multiagent Systems · Computer Science 2024-08-19 Lukas Kirchdorfer , Robert Blümel , Timotheus Kampik , Han van der Aa , Heiner Stuckenschmidt

Business process simulation is a versatile technique to predict the impact of one or more changes on the performance of a process. Mainstream approaches in this space suffer from various limitations, some stemming from the fact that they…

Other Computer Science · Computer Science 2022-08-18 Orlenys Lopez-Pintado , Marlon Dumas

In business process simulation, resource availability is typically modeled by assigning a calendar to each resource, e.g., Monday-Friday, 9:00-18:00. Resources are assumed to be always available during each time slot in their availability…

Machine Learning · Computer Science 2024-10-23 Orlenys López-Pintado , Marlon Dumas

Business process simulation is a versatile technique to estimate the performance of a process under multiple scenarios. This, in turn, allows analysts to compare alternative options to improve a business process. A common roadblock for…

Software Engineering · Computer Science 2020-03-30 Manuel Camargo , Marlon Dumas , Oscar González-Rojas

Predictive business process monitoring (PBPM) aims to predict future process behavior during ongoing process executions based on event log data. Especially, techniques for the next activity and timestamp prediction can help to improve the…

Machine Learning · Computer Science 2020-11-06 An Nguyen , Srijeet Chatterjee , Sven Weinzierl , Leo Schwinn , Martin Matzner , Bjoern Eskofier

Waiting times in a business process often arise when a case transitions from one activity to another. Accordingly, analyzing the causes of waiting times of activity transitions can help analysts to identify opportunities for reducing the…

Databases · Computer Science 2022-12-06 Katsiaryna Lashkevich , Fredrik Milani , David Chapela-Campa , Ihar Suvorau , Marlon Dumas

A business process model represents the expected behavior of a set of process instances (cases). The process instances may be executed in parallel and may affect each other through data or resources. In particular, changes in values of data…

Software Engineering · Computer Science 2024-01-31 Yotam Evron , Arava Tsoury , Anna Zamansky , Iris Reinhartz-Berger , Pnina Soffer

The traditional approach used to implement a business process (BP) in today's information systems (IS) no longer covers the actual needs of the dynamically changing business. Therefore, a necessity for a new approach of dynamic business…

Software Engineering · Computer Science 2018-07-11 Olegas Vasilecas , Diana Kalibatiene , Dejan Lavbič

Process mining techniques including process discovery, conformance checking, and process enhancement provide extensive knowledge about processes. Discovering running processes and deviations as well as detecting performance problems and…

Other Computer Science · Computer Science 2021-08-05 Mahsa Pourbafrani , Shuai Jiao , Wil M. P. van der Aalst

Business Process Management (BPM) has the potential to help companies manage and reduce their activities' negative social and environmental impacts. However, so far, only limited capabilities for analysing the sustainability impacts of…

Software Engineering · Computer Science 2025-03-19 Andreas Fritsch

The ability to know in advance the trend of running process instances, with respect to different features, such as the expected completion time, would allow business managers to timely counteract to undesired situations, in order to prevent…

Artificial Intelligence · Computer Science 2016-02-25 Mirko Polato , Alessandro Sperduti , Andrea Burattin , Massimiliano de Leoni

Predictive business process monitoring methods exploit historical process execution logs to generate predictions about running instances (called cases) of a business process, such as the prediction of the outcome, next activity or remaining…

Artificial Intelligence · Computer Science 2018-05-14 Ilya Verenich , Marlon Dumas , Marcello La Rosa , Fabrizio Maggi , Irene Teinemaa

Business Process Simulation (BPS) is a critical tool for analyzing and improving organizational processes by estimating the impact of process changes. A key component of BPS is the case-arrival model, which determines the pattern of new…

Machine Learning · Computer Science 2025-05-29 Lukas Kirchdorfer , Konrad Özdemir , Stjepan Kusenic , Han van der Aa , Heiner Stuckenschmidt
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