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Towards a Formal Framework for Business Process Re-Design Based on Data Mining

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Book cover Enterprise, Business-Process and Information Systems Modeling (BPMDS 2016, EMMSAD 2016)

Abstract

In today’s ever changing world, business processes need to be dynamic. Data accumulated as the processes operate capture the meaning of transactions in the past, which opens a door for the dynamics of the business processes in question. Mining the operational data to explicitly represent this meaning could lead to process re-design to make the business processes more efficient. In this paper, we propose a formal framework for redesigning business processes taking data mining rules and business rules as the driver. We formally represent business processes using the artifact-centric approach put forward by the IBM Research. We devise redesigning algorithms that take classification rules extracted from data mining together with business rules and transform the business process in question by eliminating redundant tasks and/or re-ordering inefficiently placed tasks. We illustrate our algorithms and report experiments that were conducted using a proof-of-concept case-study.

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Notes

  1. 1.

    As opposed to changes made at runtime that are commonly referred to as process adaptation or process reconfiguration.

  2. 2.

    Each business task is described in terms of pre-conditions (i.e., conditions that must be held for the task to be invoked) and post-conditions (i.e., conditions that will be help upon the completion of the task).

  3. 3.

    The running example will be walked through again in Subsect. 4.4 when we make a redesign for the business process in question.

  4. 4.

    BPMN Specification http://www.bpmn.org/.

  5. 5.

    Homepage of Orbital symbolaris.com/orbital.

  6. 6.

    Source code can be downloaded at www.esp-lab.net/images/src.zip.

  7. 7.

    Homepage of Eclipse eclipse.org.

References

  1. Wegener, D., Rüping, S.: On integrating data mining into business processes. In: Abramowicz, W., Tolksdorf, R. (eds.) BIS 2010. LNBIP, vol. 47, pp. 183–194. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  2. Niedermann, F., Radeschütz, S., Mitschang, B.: Design-time process optimization through optimization patterns and process model matching. In: Proceedings of the 12th IEEE Conference on Commerce and Enterprise Computing, Shanghai, China, pp. 48–55. IEEE Computer Society (2010)

    Google Scholar 

  3. Fayyad, U.M., Piatetsky-Shapiro, G., Smyth, P.: From data mining to knowledge discovery in databases. AI Mag. 17(3), 37–54 (1996)

    Google Scholar 

  4. van der Aalst, W.M.: Business process management: a comprehensive survey. ISRN Softw. Eng. 2013, 1–37 (2013)

    Article  Google Scholar 

  5. Mansar, S.L., Reijers, H.A.: Best practices in business process redesign: use and impact. bus. process manag. j. 13(2), 193–213 (2007)

    Article  Google Scholar 

  6. Wegener, D., Rüping, S.: On reusing data mining in business processes - a pattern-based approach. In: Muehlen, M., Su, J. (eds.) BPM 2010 Workshops. LNBIP, vol. 66, pp. 264–276. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  7. van der Aalst, W., van Hee, K.: Business process redesign: a Petri-net-based approach. Comput. Ind. 29(1–2), 15–26 (1996)

    Article  Google Scholar 

  8. Koliadis, G., Ghose, A.: A conceptual framework for business process redesign. In: Halpin, H., Krogstie, J., Nurcan, S., Proper, E., Schmidt, R., Soffer, P., Ukor, R. (eds.) BPMDS 2009 and EMMSAD 2009. LNBIP, vol. 29, pp. 14–26. Springer, Heidelberg (2009)

    Google Scholar 

  9. Han, J., Kamber, M., Pei, J.: Data Mining: Concepts and Techniques, 3rd edn. Morgan Kaufmann, San Francisco (2011)

    Google Scholar 

  10. Rupnik, R., Jaklič, J.: The deployment of data mining into operational business processes. In Ponce, J., Karahoca, A. (eds.) Data Mining and Knowledge Discovery in Real Life Applications. I-Tech Education and Publishing (2009)

    Google Scholar 

  11. Yongchareon, S., Liu, C.: A process view framework for artifact-centric business processes. In: Meersman, R., Dillon, T.S., Herrero, P. (eds.) OTM 2010. LNCS, vol. 6426, pp. 26–43. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  12. Kunchala, J., Yu, J., Yongchareon, S.: A survey on approaches to modeling artifact-centric business processes. In: Benatallah, B., Bestavros, A., Catania, B., Haller, A., Manolopoulos, Y., Vakali, A., Zhang, Y. (eds.) WISE 2014. LNCS, vol. 9051, pp. 117–132. Springer, Heidelberg (2015)

    Chapter  Google Scholar 

  13. Bhattacharya, K., Gerede, C.E., Hull, R., Liu, R., Su, J.: Towards formal analysis of artifact-centric business process models. In: Alonso, G., Dadam, P., Rosemann, M. (eds.) BPM 2007. LNCS, vol. 4714, pp. 288–304. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  14. Estañol, M., Queralt, A., Sancho, M.R., Teniente, E.: Artifact-centric business process models in UML. In: La Rosa, M., Soffer, P. (eds.) BPM 2012 Workshops. LNBIP, vol. 132, pp. 292–303. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  15. Lohmann, N., Nyolt, M.: Artifact-centric modeling using BPMN. In: Pallis, G., et al. (eds.) ICSOC 2011 Workshops. LNCS, vol. 7221, pp. 54–65. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  16. Hinge, K., Ghose, A., Koliadis, G.: Process SEER: a tool for semantic effect annotation of business process models. In: Proceedings of the 13th IEEE International Conference on Enterprise Distributed Object Computing, Auckland, New Zealand, pp. 49–58. IEEE Computer Society, September 2009

    Google Scholar 

  17. Shearer, C.: The CRISP-DM model: the new blueprint for data mining. J. Data Warehousing 5(4), 13–22 (2000)

    Google Scholar 

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Correspondence to Thai-Minh Truong .

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Truong, TM., Lê, LS. (2016). Towards a Formal Framework for Business Process Re-Design Based on Data Mining. In: Schmidt, R., Guédria, W., Bider, I., Guerreiro, S. (eds) Enterprise, Business-Process and Information Systems Modeling. BPMDS EMMSAD 2016 2016. Lecture Notes in Business Information Processing, vol 248. Springer, Cham. https://doi.org/10.1007/978-3-319-39429-9_16

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