Abstract
A digital twin of an organization (DTO) is a digital replication of an organization used to analyze weaknesses in business processes and support operational decision-making by simulating different scenarios. As a key enabling technology of DTO, business process simulation provides techniques to design and implement simulation models that replicate real-life business processes. Existing approaches have been focusing on providing highly flexible design tools and data-driven evidence to improve the accuracy of simulation models. Provided with such tools and evidence, business analysts are required to reflect comprehensive aspects of reality with subjective judgments, including the design of ERP systems and the organizational interaction with the system. However, given the complexity of ERP systems, it is infeasible and error-prone to manually incorporate the business logic and data restrictions of the system into simulation models, impeding the faithfulness and reliability of the following analysis. In this work, we propose a framework to integrate ERP systems in business process simulation to overcome this limitation and ensure the reliability of the simulation results. The framework is implemented in ProM using the SAP ERP system and CPN Tools.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
van der Aalst, W.M.P.: Data science in action. In: Process Mining, pp. 3–23. Springer, Heidelberg (2016). https://doi.org/10.1007/978-3-662-49851-4_1
Dumas, M., La Rosa, M., Mendling, J., Reijers, H.A.: Fundamentals of Business Process Management. Springer, Heidelberg (2018). https://doi.org/10.1007/978-3-662-56509-4
Rashid, A., Tjahjono, B.: Achieving manufacturing excellence through the integration of enterprise systems and simulation. Prod. Plann. Control 27(10), 837–852 (2016)
Park, G., van der Aalst, W.M.P.: A general framework for action-oriented process mining. In: Del RÃo Ortega, A., Leopold, H., Santoro, F.M. (eds.) BPM 2020. LNBIP, vol. 397, pp. 206–218. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-66498-5_16
Shannon, R., Johannes, J.D.: Systems simulation: the art and science. IEEE Trans. Syst. Man Cybern. SMC-6(10), 723–724 (1976)
van der Aalst, W.M.P.: Business process simulation survival guide. In: vom Brocke, J., Rosemann, M. (eds.) Handbook on Business Process Management 1. IHIS, pp. 337–370. Springer, Heidelberg (2015). https://doi.org/10.1007/978-3-642-45100-3_15
Dahl, O.J., Nygaard, K.: SIMULA: an ALGOL-based simulation language. Commun. ACM 9(9), 671–678 (1966)
Jensen, K., Kristensen, L.M., Wells, L.: Coloured petri nets and CPN tools for modelling and validation of concurrent systems. Int. J. Softw. Tools Technol. Transfer 9(3), 213–254 (2007)
Martin, N., Depaire, B., Caris, A.: The use of process mining in business process simulation model construction: structuring the field. Bus. Inf. Syst. Eng. 58(1), 73–87 (2016)
Mǎruşter, L., van Beest, N.R.T.P.: Redesigning business processes: a methodology based on simulation and process mining techniques. Knowl. Inf. Syst. 21(3), 267–297 (2009)
Rozinat, A., Mans, R., Song, M., van der Aalst, W.M.P.: Discovering simulation models. Inf. Syst. 34(3), 305–327 (2009)
Camargo, M., Dumas, M., González-Rojas, O.: Automated discovery of business process simulation models from event logs. Decis. Support Syst. 134, 113284 (2020)
Leemans, S., Fahland, D., van der Aalst, W.M.P.: Process and deviation exploration with inductive visual miner. In: Limonad, L., Weber, B. (eds.) BPM Demo Sessions, pp. 46–50 (2014)
Acknowledgements
We thank the Alexander von Humboldt (AvH) Stiftung for supporting our research.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Park, G., van der Aalst, W.M.P. (2021). Towards Reliable Business Process Simulation: A Framework to Integrate ERP Systems. In: Augusto, A., Gill, A., Nurcan, S., Reinhartz-Berger, I., Schmidt, R., Zdravkovic, J. (eds) Enterprise, Business-Process and Information Systems Modeling. BPMDS EMMSAD 2021 2021. Lecture Notes in Business Information Processing, vol 421. Springer, Cham. https://doi.org/10.1007/978-3-030-79186-5_8
Download citation
DOI: https://doi.org/10.1007/978-3-030-79186-5_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-79185-8
Online ISBN: 978-3-030-79186-5
eBook Packages: Computer ScienceComputer Science (R0)