Skip to main content

Using Process Variants in Design of Flow Management Systems

  • Conference paper
Perspectives in Business Informatics Research (BIR 2013)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 158))

Included in the following conference series:

Abstract

Customer flow management (CFM) systems integrated hardware, sensing, software and data analysis technologies to delivery customer service processes. While the traditional CFM systems focus of managing customer queues independently of the service provided, this paper investigates business processes where flow management is an integral part of the business processes delivered. A method for design of the CFM systems is elaborated. The method focuses on identification and evaluation of business process delivery variants providing the best customer flow management performance. The evaluation is performed using static analysis and simulation, and run-time adjustment algorithms are used to alter process delivery according to the current execution context. The design method is applied in a case study exploring development of interactive museum expositions.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Paschou, M., Sakkopoulos, E., Sourla, E., Tsakalidis, A.: MobiQ: Mobile Based Processes for Efficient Customer Flow Management. In: Bider, I., Halpin, T., Krogstie, J., Nurcan, S., Proper, E., Schmidt, R., Soffer, P., Wrycza, S. (eds.) BPMDS 2012 and EMMSAD 2012. LNBIP, vol. 113, pp. 211–225. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  2. Lampathaki, F., Vlad-Câlcic, D.: Translating Knowledge into Growth: Views from ICT Research to Support Future Business Innovation. In: Future Internet Enterprise Systems (FInES) Workshop, Aalborg, Denmark, May 9 (2012)

    Google Scholar 

  3. Nyhuis, P., Von Cieminski, G., Fischer, A., Feldmann, K.: Applying simulation and analytical models for logistic performance prediction. CIRP Annals - Manufacturing Technology 54, 417–422 (2005)

    Article  Google Scholar 

  4. Van der Aalst, W.M.P., ter Hofstede, A.H.M., Weske, M.: Business process management: A survey. In: van der Aalst, W.M.P., ter Hofstede, A.H.M., Weske, M. (eds.) BPM 2003. LNCS, vol. 2678, pp. 1–12. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  5. Reijers, H.A., Van der Aalst, W.M.P.: The effectiveness of workflow management systems: Predictions and lessons learned. International Journal of Information Management 25, 458–472 (2005)

    Article  Google Scholar 

  6. Smanchat, S., Ling, S., Indrawan, M.: A survey on context-aware workflow adaptations. In: 6th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2008. Linz, Austria, pp. 414–417 (2008)

    Google Scholar 

  7. Elzinga, D.J., Horak, T., Lee, C., Bruner, C.: Business process management: Survey and methodology. IEEE Transactions on Engineering Management 42, 119–128 (1995)

    Article  Google Scholar 

  8. Reijers, H.A., Liman Mansar, S.: Best practices in business process redesign: An overview and qualitative evaluation of successful redesign heuristics. Omega 33, 283–306 (2005)

    Article  Google Scholar 

  9. Barros, O.: Business process patterns and frameworks: Reusing knowledge in process innovation. Business Process Management Journal 13, 47–69 (2007)

    Article  Google Scholar 

  10. Vergidis, K., Saxena, D., Tiwari, A.: An evolutionary multi-objective framework for business process optimization. Applied Soft Computing Journal 12, 2638–2653 (2012)

    Article  Google Scholar 

  11. Limam Mansar, S., Reijers, H.A., Ounnar, F.: Development of a decision-making strategy to improve the efficiency of BPR. Expert Systems with Applications 36, 3248–3262 (2009)

    Article  Google Scholar 

  12. Glykas, M.M.: Effort based performance measurement in business process management. Knowledge and Process Management 18, 10–33 (2011)

    Article  Google Scholar 

  13. Tan, W., Shen, W., Zhao, J.: A methodology for dynamic enterprise process performance evaluation. Computers in Industry 58, 474–485 (2007)

    Article  Google Scholar 

  14. Kamrani, F., Ayani, R., Moradi, F.: A framework for simulation-based optimization of business process models. Simulation 88, 852–869 (2012)

    Article  Google Scholar 

  15. Damij, N., Damij, T., Grad, J., Jelenc, F.: A methodology for business process improvement and IS development. Information and Software Technology 50, 1127–1141 (2008)

    Article  Google Scholar 

  16. Oliveira, C.A.L., Lima, R.M.F., Reijers, H.A., Ribeiro, J.T.S.: Quantitative analysis of resource-constrained business processes. IEEE Transactions on Systems, Man, and Cybernetics Part A: Systems and Humans 42, 669–684 (2012)

    Article  Google Scholar 

  17. Hallerbach, A., Bauer, T., Reichert, M.: Capturing variability in business process models: The Provop approach. Journal of Software Maintenance and Evolution 22, 519–546 (2010)

    Article  Google Scholar 

  18. Lu, R., Sadiq, S., Governatori, G.: On managing business processes variants. Data and Knowledge Engineering 68, 642–664 (2009)

    Article  Google Scholar 

  19. Becker, M., Klingner, S.: Towards Customer-Individual Configurations of Business Process Models. In: Bider, I., Halpin, T., Krogstie, J., Nurcan, S., Proper, E., Schmidt, R., Soffer, P., Wrycza, S. (eds.) BPMDS 2012 and EMMSAD 2012. LNBIP, vol. 113, pp. 121–135. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  20. Kumar, A., Yao, W.: Design and management of flexible process variants using templates and rules. Computers in Industry 63, 112–130 (2012)

    Article  Google Scholar 

  21. Anupindi, R., Chopra, S., Deshmukh, S.D., Van Mieghem, J.A., Zemel, E.: Managing Business Process Flows Principles of Operations Management. Pearson Prentice Hall, Upper Saddle River (2011)

    Google Scholar 

  22. Su, Q., Yao, X., Su, P., Shi, J., Zhu, Y., Xue, L.: Hospital registration process reengineering using simulation method. Journal of Healthcare Engineering 1, 67–82 (2010)

    Article  Google Scholar 

  23. Muller, R., Greiner, U., Rahm, E.: AGENT WORK: a workflow system supporting rule-based workflow adaptation. Data Knowledge Engineering 51, 223–256 (2004)

    Article  Google Scholar 

  24. Weber, B., Reichert, M., Rinderle-Ma, S.: Change patterns and change support features - Enhancing flexibility in process-aware information systems. Data and Knowledge Engineering 66, 438–466 (2008)

    Article  Google Scholar 

  25. Dijkman, R.M., Dumas, M., van Dongen, B.F., Käärik, R., Mendling, J.: Similarity of business process models: Metrics and evaluation. Information Systems 36, 498–516 (2011)

    Article  Google Scholar 

  26. Canfora, G., Di Penta, M., Esposito, R., Villani, M.L.: A framework for QoS-aware binding and re-binding of composite web services. Journal of Systems and Software 81, 1754–1769 (2005)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Grabis, J. (2013). Using Process Variants in Design of Flow Management Systems. In: Kobyliński, A., Sobczak, A. (eds) Perspectives in Business Informatics Research. BIR 2013. Lecture Notes in Business Information Processing, vol 158. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40823-6_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-40823-6_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40822-9

  • Online ISBN: 978-3-642-40823-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics