Abstract
Analysing the current state of a process is a crucial step when improving the process. Four elements are defined during the process analysis: the objective, the process model, the indicators and the blocking points. It is important to well-define all of them when characterizing a process state, however the process model has a more fundamental influence. This model provides a map upon which is done the analysis of the process state, prediction of its evolution and simulation of the impact of the change to be undertaken for improving the process.
In this work we are proposing a strategy for the model consolidation, that combines the process discovery and business process modeling approach. This strategy aims to merge the models derived by these existing approaches in one unique model that is complete, comprehensive, aligned to the reality and useful for in-depth analysis.
This article describes the model consolidation strategy by detailing the steps to be taken and illustrating its usage into a real-life process provided from our industrial collaborator Net Invaders [19].
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Çela, O., Front, A., Rieu, D.: CEFOP: a method for the continual evolution of organisational processes. In: 11th International Conference on Research Challenges in Information Science (RCIS) (2017)
Front, A., Rieu, D., Cela, O., Movahedian, F.: Les méthodes d’évolution continue au sein des organisations: le cadre As-Is/As-If. In: INFORSID (2017)
Dumas, M., La Rosa, M., Mendling, J., Reijers, H.: Fundamentals of Business Process Management, 1st edn. Springer, Berlin (2013). https://doi.org/10.1007/978-3-642-33143-5
Van der Aalst, W.M.P.: What makes a good process model? Softw. Syst. Model 11(4), 557–569 (2012)
Rittgen, P.: End-user involvement and team factors in business process modeling. In: 45th Hawaii International Conference on System Sciences, Hawai, USA (2012)
Buur, J., Ankenbrand, B., Mitchell, R.: Participatory business modelling. CoDesign: Int. J. CoCreation Des. Arts 9(1), 55–71 (2013)
Brown, R., Recker, J., West, S.: Using virtual worlds for collaborative business process modeling. Bus. Process Manag. J. 17(3), 546–564 (2010)
Ribeiro, C., Fernandes, J., Lourenço, A., Borbinha, J., Pereira, J.: Using serious games to teach business process modelling and simulation. In: International Conference of Modelling, Simulation and Visualisation Methods, Las Vegas, USA (2012)
Front, A., Rieu, D., Santorum, M., Movahedian, F.: A participative end-user method for multi-perspective business process elicitation and improvement. Softw. Syst. Model., 1–24 (2017)
Herzberg, N., Kunze, M.: The business process game. In: 7th Central-European Workshop on Services and their Composition (2015)
van Eck, M.L., Lu, X., Leemans, S.J.J., van der Aalst, W.M.P.: PM2: a process mining project methodology. In: Zdravkovic, J., Kirikova, M., Johannesson, P. (eds.) CAiSE 2015. LNCS, vol. 9097, pp. 297–313. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-19069-3_19
Van der Aalst, W.M.P.: Process mining: discovering and improving Spaghetti and Lasagna processes. In: IEEE Symposium on Computational Intelligence and Data Mining (2011)
DISCO tool Homepage. https://fluxicon.com/products/
van der Aalst, W.M.P.: What kind of data does process mining require? http://www.processmining.org/logs/start
Van der Aalst, W.M.P.: Discovery, Conformance and Enhancement of Business Processes, 1st edn. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-19345-3
Tax, N., Sidorova, N., Haakma, R., van der Aalst, W.M.P.: Event abstraction for process mining using supervised learning techniques. In: Bi, Y., Kapoor, S., Bhatia, R. (eds.) IntelliSys 2016. LNNS, vol. 15, pp. 251–269. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-56994-9_18
Mannhardt, F., Tax, N., Unsupervised event abstraction using pattern abstraction and local process models. In: Enabling Business Transformation by Business Process Modeling, Development, and Support Working Conference-BPMDS (2017)
Pro-M tool Homepage. http://www.promtools.org/doku.php
Net Invaders company homepage. https://en.net-invaders.com/
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Çela, O., Front, A., Rieu, D. (2018). Model Consolidation: A Process Modelling Method Combining Process Mining and Business Process Modelling. In: Gulden, J., Reinhartz-Berger, I., Schmidt, R., Guerreiro, S., Guédria, W., Bera, P. (eds) Enterprise, Business-Process and Information Systems Modeling. BPMDS EMMSAD 2018 2018. Lecture Notes in Business Information Processing, vol 318. Springer, Cham. https://doi.org/10.1007/978-3-319-91704-7_8
Download citation
DOI: https://doi.org/10.1007/978-3-319-91704-7_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-91703-0
Online ISBN: 978-3-319-91704-7
eBook Packages: Computer ScienceComputer Science (R0)