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Nata?a Subic, Maja Dimitrijevic,
Pág. 181 - 190
Modern information systems need to be able to deal with uncertainty and variability, as well as to support the evolution of business processes. In this work, we apply two flexible and configurable modeling approaches to model the process of the student e...
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Maria Stoettrup Schioenning Larsen, Astrid Heidemann Lassen and Casper Schou
Despite the promising potential of Industry 4.0, the transition of the manufacturing industry is still very slow-paced. In this article, we argue that one reason for this development is the fact that existing foundational process models of manufacturing ...
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José Brás, Ruben Pereira and Sérgio Moro
Robotic process automation and intelligent process automation have gained a foothold in the automation of business processes, using blocks of software (bots). These agents interact with systems through interfaces, replacing human intervention with the ai...
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Ghada Elkhawaga, Mervat Abuelkheir, Sherif I. Barakat, Alaa M. Riad and Manfred Reichert
Business processes evolve over time to adapt to changing business environments. This requires continuous monitoring of business processes to gain insights into whether they conform to the intended design or deviate from it. The situation when a business ...
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Kwanghoon Pio Kim
In this paper, we propose an integrated approach for seamlessly and effectively providing the mining and the analyzing functionalities to redesigning work for very large-scale and massively parallel process models that are discovered from their enactment...
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Win-Jet Luo, Kuen-Suan Chen, Chun-Min Yu and Ting-Hsin Hsu
Whether it is important components of a machine tool itself or various important components processed by the machine tool, many vital quality characteristics mostly belong to the smaller-the-better type. When the process quality levels of these quality c...
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Krzysztof Krukowski and Magdalena Raczynska
Process management is a concept that is used in public administration units in Poland to an increasing extent. Implementing this concept in public organizations, in line with the assumptions of New Public Management, is directed, among others, to increas...
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Pawel Dymora, Maciej Koryl and Miroslaw Mazurek
Appropriate business processes management (BPM) within an organization can help attain organizational goals. It is particularly important to effectively manage the lifecycle of these processes for organizational effectiveness in improving ever-growing pe...
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Junbao Zhang and Guohua Liu
The adaptability of an in-progress business process is an essential requirement for any business process management system in dynamic business process environments. Over the last two decades, the artifact-centric approach for business process management ...
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Christian Sturm, Myriel Fichtner and Stefan Schönig
Declarative process management has emerged as an alternative solution for describing flexible workflows. In turn, the modelling opportunities with languages such as Declare are less intuitive and hard to implement. The area of process discovery covers th...
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Yutika Amelia Effendi,Nania Nuzulita
Pág. 183 - 194
Background: Nowadays, enterprise computing manages business processes which has grown up rapidly. This situation triggers the production of a massive event log. One type of event log is double timestamp event log. The double timestamp has a start time an...
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Cristina-Claudia Osman
Pág. 91 - 97
Daily activities of companies generate and consume massive amounts of data. Different diagrammatic visualizations can be extracted from this data by using different Process Mining algorithms. ProM Framework provides several discovery Process Mining algor...
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Jih-Jeng Huang and Chin-Yi Chen
Cooperative alternatives need complex multi-criteria decision-making (MCDM) consideration, especially in resource allocation, where the alternatives exhibit interdependent relationships. Traditional MCDM methods like the Analytic Hierarchy Process (AHP) ...
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Liubov O. Elkhovskaya, Alexander D. Kshenin, Marina A. Balakhontceva, Mikhail V. Ionov and Sergey V. Kovalchuk
Within process mining, discovery techniques make it possible to construct business process models automatically from event logs. However, results often do not achieve a balance between model complexity and fitting accuracy, establishing a need for manual...
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Ashish T. S. Ireddy and Sergey V. Kovalchuk
The ideology behind process modelling is to visualise lengthy event logs into simple representations interpretable to the end user. Classifying process models as simple or complex is based on criteria that evaluate attributes of models and quantify them ...
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Fawad Ali Mangi, Guoxin Su and Minjie Zhang
The study of business process analysis and optimisation has attracted significant scholarly interest in the recent past, due to its integral role in boosting organisational performance. A specific area of focus within this broader research field is proce...
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Juergen Mangler, Joscha Grüger, Lukas Malburg, Matthias Ehrendorfer, Yannis Bertrand, Janik-Vasily Benzin, Stefanie Rinderle-Ma, Estefania Serral Asensio and Ralph Bergmann
The Internet of Things (IoT) has been shown to be very valuable for Business Process Management (BPM), for example, to better track and control process executions. While IoT actuators can automatically trigger actions, IoT sensors can monitor the changes...
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Gemma Di Federico and Andrea Burattin
Process mining analyzes events that are logged during the execution of a process, with the aim of gathering useful information and knowledge. Process discovery algorithms derive process models that represent these processes. The level of abstraction at w...
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Flavio Corradini, Sara Pettinari, Barbara Re, Lorenzo Rossi and Francesco Tiezzi
The development of process-driven systems and the advancements in digital twins have led to the birth of new ways of monitoring and analyzing systems, i.e., digital process twins. Specifically, a digital process twin can allow the monitoring of system be...
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Ronny Seiger, Marco Franceschetti and Barbara Weber
The increasing number of IoT devices equipped with sensors and actuators pervading every domain of everyday life allows for improved automated monitoring and analysis of processes executed in IoT-enabled environments. While sophisticated analysis methods...
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