Abstract
Business processes are dynamic by their nature, because of changes of their environment and customers’ needs. Therefore, their supporting information systems should be dynamic as well. Although a number of approaches have been proposed to dynamic business process (DBP) modelling, there is lack of theory, implementation or both. This paper proposes a novel rule- and context- based approach of DBP modelling and simulation. The main idea of the approach is that the sequence of activities in a process depends on the environment, which is described as a context of a BP, and activities are selected according to the defined rules at BP instance runtime. The effectiveness of the proposed approach is evaluated with a simulation scenario, and the simulation results indicate that the proposed approach is suitable for DBP simulation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
- 2.
- 3.
- 4.
- 5.
- 6.
Information Systems Research Laboratory, Institute of Applied Computer Science, Faculty of Fundamental Sciences, Vilnius Gediminas Technical University, http://fm.vgtu.lt/faculties/departments/institute-of-applied-computer-science/departaments/information-systems-research-laboratory/73139.
References
Xiao, Z., Cao, D., You, C., Mei, H.: Towards a constraint-based framework for dynamic business process adaptation. In: IEEE International Conference on Services Computing 2011 (SCC 2011), pp. 685–692 (2011)
van der Aalst, W.M.: Business process management: a comprehensive survey. ISRN Softw. Eng. (2013)
Milani, F., Dumas, M., Ahmed, N., Matulevičius, R.: Modelling families of business process variants: a decomposition driven method. Inf. Syst. 56, 55–72 (2016)
van Eijndhoven, T., Iacob, M.E., Ponisio, M.L.: Achieving business process flexibility with business rules. In: 12th International IEEE Enterprise Distributed Object Computing Conference (EDOC 2008), pp. 95–104. IEEE, New York (2008)
Dynamic BPM (business process management). WhatIs.com. http://whatis.techtarget.com/definition/dynamic-BPM-business-process-management
Szelagowski, M.: Static and Dynamic Processes. BPM Leader (2014). http://www.bpmleader.com/2014/08/28/static-and-dynamic-processes/
Mejia Bernal, J.F., Falcarin, P., Morisio, M., Dai, J.: Dynamic context-aware business process: a rule-based approach supported by pattern identification. In: 2010 ACM Symposium on Applied Computing, pp. 470–474. ACM (2010)
Boukhebouze, M., Amghar, Y., Benharkat, A.N., Maamar, Z.: A rule-based approach to model and verify flexible business processes. Int. J. Bus. Process. Integr. Manage. 5(4), 287–307 (2011)
van der Aalst, W.M.: Business process simulation revisited. In: Barjis, J. (ed.) EOMAS 2010. LNBIP, vol. 63, pp. 1–14. Springer, Heidelberg (2010)
Kellner, M.I., Madachy, R.J., Raffo, D.M.: Software process simulation modeling: why? what? how? J. Syst. Softw. 46(2), 91–105 (1999)
Santos, E., Castro, J., Sanchez, J., Pastor, O.: A goal-oriented approach for variability in BPMN. In: WER 2010 (2010)
Saidani, O., Nurcan, S.: Towards context aware business process modelling. In: 8th Workshop on Business Process Modeling, Development, and Support (BPMDS 2007), CAiSE, vol. 7. Springer (2007)
Nunes, V.T., Werner, C.M.L., Santoro, F.M.: Dynamic process adaptation: a context-aware approach. In: 15th International Conference on Computer Supported Cooperative Work in Design (CSCWD), pp. 97–104. IEEE (2011)
Bui, D.V., Iacob, M.E., van Sinderen, M., Zarghami, A.: Achieving flexible process interoperability in the homecare domain through aspect-oriented service composition. In: van Sinderen, M., Oude Luttighuis, P., Folmer, E., Bosems, S. (eds.) IWEI 2013. LNBIP, vol. 144, pp. 50–64. Springer, Heidelberg (2013)
Yao, W., Basu, S., Li, J., Stephenson, B.: Modeling and configuration of process variants for on-boarding customers to IT outsourcing. In: 9th International IEEE Conference on Services Computing (SCC 2012), pp. 415–422. IEEE, New York (2012)
Rosemann, M., Recker, J.C., Flender, C.: Contextualisation of business processes. Int. J. Bus. Process. Integr. Manage. 3(1), 47–60 (2008)
Hu, G., Wu, B., Chen, J.: Dynamic adaptation of business process based on context changes: a rule-oriented approach. In: Lomuscio, A.R., Nepal, S., Patrizi, F., Benatallah, B., Brandić, I. (eds.) ICSOC 2013. LNCS, vol. 8377, pp. 492–504. Springer, Heidelberg (2014)
Hermosillo, G., Seinturier, L., Duchien, L.: Creating context-adaptive business processes. In: Maglio, P.P., Weske, M., Yang, J., Fantinato, M. (eds.) ICSOC 2010. LNCS, vol. 6470, pp. 228–242. Springer, Heidelberg (2010)
Alexopoulou, N., Nikolaidou, M., Kanellis, P., Mantzana, V., Anagnostopoulos, D., Martakos, D.: Infusing agility in business processes through an event-centric approach. Int. J. Bus. Inf. Syst. 6(1), 58–78 (2010)
Chandy, K.M., Schulte, W.R.: Event Processing - Designing IT Systems for Agile Companies. McGraw-Hill (2009)
Hermosillo, G., Seinturier, L., Duchien, L.: Using complex event processing for dynamic business process adaptation. In: IEEE International Conference on Services Computing (SCC), pp. 466–473. IEEE (2010)
Milanovic, M., Gasevic, D., Rocha, L.: Modeling flexible business processes with business rule patterns. In: 15th IEEE International Enterprise Distributed Object Computing Conference (EDOC), pp. 65–74. IEEE (2011)
Kalibatiene, D., Vasilecas, O., Savickas, T., Vysockis, T., Bobrovs, V.: A new approach on rule and context based dynamic business process simulation. Baltic J. Modern Comput. XX (accepted, will be published)
Vasilecas O., Kalibatiene D., Rima A., Birzniece I., Rudzajs P.: A resource model for the rule-based dynamic business process modelling and simulation. In: 29th European Simulation and Modelling Conference (ESM 2015), pp. 36–41. Eurosis Publication (2015)
Acknowledgments
The authors would like to thank the personnel of ISRL (see Footnote 6) for participating in the rule- and context-based DBP simulation system prototype development.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Kalibatiene, D., Vasilecas, O. (2016). Dynamic Business Process Simulation - A Rule- and Context- Based Approach. In: Dregvaite, G., Damasevicius, R. (eds) Information and Software Technologies. ICIST 2016. Communications in Computer and Information Science, vol 639. Springer, Cham. https://doi.org/10.1007/978-3-319-46254-7_16
Download citation
DOI: https://doi.org/10.1007/978-3-319-46254-7_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-46253-0
Online ISBN: 978-3-319-46254-7
eBook Packages: Computer ScienceComputer Science (R0)