Business Process Simulation for Operational Decision Support

  • Moe Thandar Wynn
  • Marlon Dumas
  • Colin J. Fidge
  • Arthur H. M. ter Hofstede
  • Wil M. P. van der Aalst
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4928)

Abstract

Contemporary business process simulation environments are geared towards design-time analysis, rather than operational decision support over already deployed and running processes. In particular, simulation experiments in existing process simulation environments start from an empty execution state. We investigate the requirements for a process simulation environment that allows simulation experiments to start from an intermediate execution state. We propose an architecture addressing these requirements and demonstrate it through a case study conducted using the YAWL workflow engine and CPN simulation tools.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    van der Aalst, W.M.P., ter Hofstede, A.H.M.: YAWL: Yet Another Workflow Language. Information Systems 30(4), 245–275 (2005)CrossRefGoogle Scholar
  2. 2.
    Beaudouin-Lafon, M., Mackay, W., Andersen, P., Janecek, P., Jensen, M., Lassen, H., Lund, K., Mortensen, K., Munck, S., Ratzer, A., Ravn, K., Christensen, S., Jensen, K.: A Tool for Editing and Simulating Coloured Petri Nets. In: Margaria, T., Yi, W. (eds.) ETAPS 2001 and TACAS 2001. LNCS, vol. 2031, pp. 574–577. Springer, Heidelberg (2001)CrossRefGoogle Scholar
  3. 3.
    Drake, G., Smith, J., Peters, B.: Simulation as a planning and scheduling tool for flexible manufacturing systems. In: Proceedings of the 27th conference on Winter simulation, pp. 805–812 (1995)Google Scholar
  4. 4.
    Giaglis, G., Paul, R., Doukidis, G.: Simulation for intra- and inter-organisational business process modelling. In: Proceedings of the 28th conference on Winter simulation, pp. 1297–1308 (1996)Google Scholar
  5. 5.
    Gottschalk, F., van der Aalst, W.M.P., Jansen-Vullers, M.H., Verbeek, H.M.V.: Protos2CPN: Using Colored Petri Nets for Configuring and Testing Business Processes. In: Workshop and Tutorial on Practical Use of Coloured Petri Nets and the CPN Tools, Aarhus, Denmark, (October 2006), Published online at: http://www.daimi.au.dk/CPnets/workshop06/
  6. 6.
    Hlupic, V., Robinson, S.: Business process modelling and analysis using discrete-event simulation. In: Proceedings of conference on Winter simulation, vol. 2, pp. 1363–1369 (1998)Google Scholar
  7. 7.
    Jansen-Vullers, M., Netjes, M.: Business process simulation – a tool survey. In: Workshop and Tutorial on Practical Use of Coloured Petri Nets and the CPN Tools, Aarhus, Denmark (October 2006), Published online at: http://www.daimi.au.dk/CPnets/workshop06/
  8. 8.
    Reijers, H.A., van der Aalst, W.M.P.: Short-term simulation: bridging the gap between operational control and strategic decision making. In: Proceedings of the IASTED Conference on Modeling and Simulation, Philadelphia, USA, pp. 417–421 (1999)Google Scholar
  9. 9.
    Reijers, H.A.: Design and Control of Workflow Processes. Springer, New York (2003)MATHGoogle Scholar
  10. 10.
    Rozinat, A., Mans, R., van der Aalst, W.M.P.: Mining CPN Models: Discovering Process Models with Data from Event Logs. In: Workshop and Tutorial on Practical Use of Coloured Petri Nets and the CPN Tools, Aarhus, Denmark (October 2006), Published online at: http://www.daimi.au.dk/CPnets/workshop06/
  11. 11.
    Smith, J., Wysk, R., Sturrock, D., Ramaswamy, S., Smith, G., Joshi, S.: Discrete event simulation for shop floor control. In: Proceedings of conference on Winter simulation, Lake Buena Vista, FL, vol. 2, pp. 962–969 (1994)Google Scholar
  12. 12.
    Tewoldeberhan, T.W., Verbraeck, A., Msanjila, S.: Simulating process orchestrations in business networks: a case using BPEL4WS. In: Proceedings of the 7th international conference on Electronic commerce, pp. 471–477. ACM Press, New York (2005)CrossRefGoogle Scholar
  13. 13.
    Tumay, K.: Business process simulation. In: Proceedings of the 28th conference on Winter simulation, pp. 93–98 (1996)Google Scholar
  14. 14.
    Verbeek, H.M.V., Hattem, M.: Simulation made accessible. In: Ciardo, G., Darondeau, P. (eds.) ICATPN 2005. LNCS, vol. 3536, pp. 465–474. Springer, Heidelberg (2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Moe Thandar Wynn
    • 1
  • Marlon Dumas
    • 1
  • Colin J. Fidge
    • 1
  • Arthur H. M. ter Hofstede
    • 1
  • Wil M. P. van der Aalst
    • 1
    • 2
  1. 1.Faculty of Information TechnologyQueensland University of TechnologyBrisbaneAustralia
  2. 2.Dept. of Mathematics and Computer ScienceEindhoven University of TechnologyEindhovenThe Netherlands

Personalised recommendations