Process mining, the automization of business process management technology
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Published:
Aug 29, 2016
Keywords:
business process management, failures identifying, process mining, benefits of process mining
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Abstract
When focusing on business processes, organizations warned that managing these processes was no simple task. With the goal of supporting the management of these business processes, Process Mining has emerged as a technology that allows the automatic analysis and improvement of processes. The benefits of Process Mining are great, but many organizations -especially en Latin America- do not know about or do not use this technology. In order to reduce this lack of knowledge, this article presents real cases of the application of this technology, as well as their positive results. Furthermore, it provides improvements to a specialized Process Mining technique for identifying the source of failures in business processes. It has been possible to demonstrate the advantages of applying Process Mining in diverse organizations, as well as the implemented improvements in the technique for identifying failures.
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Calderón-Ruiz, G. E., & Velarde-Bedregal, H. R. (2016). Process mining, the automization of business process management technology. Ingenio Magno, 7(1), 102-115. Retrieved from http://revistas.ustatunja.edu.co/index.php/ingeniomagno/article/view/1169
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Artículos Vol. 7-1
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References
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Calderón-Ruiz, G. (2011). Identifying potential causes of failures in business processes by Extending Process Mining Techniques (tesis inédita de doctorado). Santiago de Chile: Pontificia Universidad Católica.
Calderón-Ruiz, G. y Sepúlveda, M. (2013). Automatic discovery of failures in business processes using Process Mining techniques. En IX Simposio Brasileiro de Sistemas de Informaçao (pp. 439-450). Recuperado de http://www.lbd.dcc.ufmg.br/colecoes/sbsi/2013/0040.pdf
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Davenport, T. H. (1993). Process innovation: reengineering work through information technology. Boston: Harvard Business School Press.
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Mans, R., Reijers, H., Van Genuchten, M. y Wismeijer, D. (2012). Mining processes in dentistry. En Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium (pp. 379-388). ACM. Recuperado de http:// dl.acm.org/citation.cfm?id=2110407
Mans, R. S., Schonenberg, M. H., Song, M., Van der Aalst, W. M. y Bakker, P. J. (2009). Application of process mining in healthcare–a case study in a Dutch hospital. Berlín: Springer.
Mans, R. S., van der Aalst, W. M., Vanwersch, R. J. y Moleman, A. J. (2013). Process mining in healthcare: Data challenges when answering frequently posed questions. En Process Support and Knowledge Representation in Health Care (pp. 140–153). Berlín: Springer.
McGregor, C., Catley, C. y James, A. (2011). A process mining driven framework for clinical guideline improvement in critical care. Recuperado de http:// www.researchgate.net/profile/Ricardo_Cruz-Correia/ publication/236007672_Improving_clinical_record_ visualization_recommendations_with_bayesian_stream_ learning/links/0deec52f3d55e1a0ef000000.pdf#page=35
Perimal-Lewis, L., De Vries, D. y Thompson, C. H. (2014). Health intelligence: Discovering the process model using process mining by constructing Start-toEnd patient journeys. En Proceedings of the Seventh Australasian Workshop on Health Informatics and Knowledge Management (vol. 153; pp. 59-67).
Quaglini, S. (2009). Process mining in healthcare: a contribution to change the culture of blame. En Business Process Management Workshops (pp. 308-311). Berlín: Springer.
Rozinat, A., De Jong, I. S. M., Günther, C. W. y Van der Aalst, W. M. P. (2007). Process mining of test processes: A case study. Recuperado de http://citeseerx.ist.psu.edu/viewdoc/ download?doi=10.1.1.104.5799&rep=rep1&type=pdf
TU/e (2015). Process mining. Recuperado de http:// www.processmining.org/
Van der Aalst, W. M. P. (2011). Process mining: discovery, conformance and enhancement of business processes. Berlín: Springer.
Van der Aalst, W. et al. (2011). Process mining manifesto. En Business process management workshops (pp. 169194). Berlín: Springer.
Van der Aalst, W. M. P., Reijers, H. A., Weijters, A. J. M. M., Dongen, B. F. van, Medeiros, A. K. A. de, Song, M. y Verbeek, H. M. W. (2007). Business process mining: An industrial application. Information Systems, 32(5), 713-732.
Van der Aalst, W. M. P., Van Hee, K. M., Van Werf, J. M. y Verdonk, M. (2010). Auditing 2.0: using process mining to support tomorrow’s auditor. Computer, 43(3), 90-93.
Van der Aalst, W. M. P. y Weijters, A. J. M. M. (2004). Process mining: a research gagenda. Computers in Industry, 53(3), 231-244.
Bezerra, F., Wainer, J. y Van der Aalst, W. M. P. (2009). Anomaly detection using process mining. Enterprise, Business-Process and Information Systems Modeling, 29, 149-161.
Bozkaya, M., Gabriels, J. y Werf, J. (2009). Process Diagnostics: a method based on process mining. En Information, Process, and Knowledge Management, 2009. eKNOW ’09. International Conference on (pp. 22-27). Doi: 10.1109/eKNOW.2009.29
Calderón-Ruiz, G. (2011). Identifying potential causes of failures in business processes by Extending Process Mining Techniques (tesis inédita de doctorado). Santiago de Chile: Pontificia Universidad Católica.
Calderón-Ruiz, G. y Sepúlveda, M. (2013). Automatic discovery of failures in business processes using Process Mining techniques. En IX Simposio Brasileiro de Sistemas de Informaçao (pp. 439-450). Recuperado de http://www.lbd.dcc.ufmg.br/colecoes/sbsi/2013/0040.pdf
Claes, J. y Poels, G. (2013). Process mining and the ProM framework: an exploratory survey. En Business process management workshops (pp. 187-198). Recuperado de http://link.springer.com/ chapter/10.1007/978 3-642-36285-9_19
Davenport, T. H. (1993). Process innovation: reengineering work through information technology. Boston: Harvard Business School Press.
Dumas, M., La Rosa, M., Mendling, J. y Reijers, H. A. (2013). Fundamentals of business process management. Berlín: Springer.
Fernández, M. A. (2003). El control, fundamento de la gestión por procesos. Madrid: ESIC Editorial.
Fluxicon. (2015). 4 Challenges for process mining in healthcare — flux capacitor. Recuperado de http:// fluxicon.com/blog/2011/05/4-challenges-for-processmining-in-healthcare/
Hammer, M. (1990). Reengineering work: don’t automate, obliterate. Recuperado de https://hbr.org/1990/07/ reengineering-work-dont-automate-obliterate
Hornix, P. T. (2007). Performance analysis of business processes through process mining (tesis inédita de maestría). Eindhoven: Eindhoven University of Technology.
Jans, M., van der Werf, J. M., Lybaert, N. y Vanhoof, K. (2011). A business process mining application for internal transaction fraud mitigation. Expert Systems with Applications, 38(10), 13351-13359.
Mans, R., Reijers, H., Van Genuchten, M. y Wismeijer, D. (2012). Mining processes in dentistry. En Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium (pp. 379-388). ACM. Recuperado de http:// dl.acm.org/citation.cfm?id=2110407
Mans, R. S., Schonenberg, M. H., Song, M., Van der Aalst, W. M. y Bakker, P. J. (2009). Application of process mining in healthcare–a case study in a Dutch hospital. Berlín: Springer.
Mans, R. S., van der Aalst, W. M., Vanwersch, R. J. y Moleman, A. J. (2013). Process mining in healthcare: Data challenges when answering frequently posed questions. En Process Support and Knowledge Representation in Health Care (pp. 140–153). Berlín: Springer.
McGregor, C., Catley, C. y James, A. (2011). A process mining driven framework for clinical guideline improvement in critical care. Recuperado de http:// www.researchgate.net/profile/Ricardo_Cruz-Correia/ publication/236007672_Improving_clinical_record_ visualization_recommendations_with_bayesian_stream_ learning/links/0deec52f3d55e1a0ef000000.pdf#page=35
Perimal-Lewis, L., De Vries, D. y Thompson, C. H. (2014). Health intelligence: Discovering the process model using process mining by constructing Start-toEnd patient journeys. En Proceedings of the Seventh Australasian Workshop on Health Informatics and Knowledge Management (vol. 153; pp. 59-67).
Quaglini, S. (2009). Process mining in healthcare: a contribution to change the culture of blame. En Business Process Management Workshops (pp. 308-311). Berlín: Springer.
Rozinat, A., De Jong, I. S. M., Günther, C. W. y Van der Aalst, W. M. P. (2007). Process mining of test processes: A case study. Recuperado de http://citeseerx.ist.psu.edu/viewdoc/ download?doi=10.1.1.104.5799&rep=rep1&type=pdf
TU/e (2015). Process mining. Recuperado de http:// www.processmining.org/
Van der Aalst, W. M. P. (2011). Process mining: discovery, conformance and enhancement of business processes. Berlín: Springer.
Van der Aalst, W. et al. (2011). Process mining manifesto. En Business process management workshops (pp. 169194). Berlín: Springer.
Van der Aalst, W. M. P., Reijers, H. A., Weijters, A. J. M. M., Dongen, B. F. van, Medeiros, A. K. A. de, Song, M. y Verbeek, H. M. W. (2007). Business process mining: An industrial application. Information Systems, 32(5), 713-732.
Van der Aalst, W. M. P., Van Hee, K. M., Van Werf, J. M. y Verdonk, M. (2010). Auditing 2.0: using process mining to support tomorrow’s auditor. Computer, 43(3), 90-93.
Van der Aalst, W. M. P. y Weijters, A. J. M. M. (2004). Process mining: a research gagenda. Computers in Industry, 53(3), 231-244.