Abstract
The problem of processes simulation modeling is a significant issue for business analysts. Properly developed process models can be used not only to understand the process at both the operational and management level but also to identify bottlenecks and support in making decisions. The aim of this article was to classify processes from the point of view of simulation modeling using Discrete Event Simulation (DES) and System Dynamics (SD). The mentioned classification of processes is based on the Process Classification Framework (PCF) methodology developed by the American Productivity & Quality Center (APQC) organization. The literature studies of articles were carried out, in which processes were modeled using the methods above. For the DES method, 129 articles were analyzed, and then the processes were assigned to the appropriate category, while in the case of SD, 138 articles were analyzed, which were then also assigned to the proper process category.
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Acknowledgement
The research was carried out as part of the Applied Doctorate Program of the Ministry of Education and Science carried out in the years 2020-2024 (Agreement No. DWD/4/232020).
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Krzywy, J.J., Hell, M. (2022). Classification of Process from the Simulation Modeling Aspect - System Dynamics and Discrete Event Simulation. In: Machado, J., et al. Innovations in Mechatronics Engineering II. icieng 2022. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-09385-2_8
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