A mineração de processos, uma tecnología para automatizar a gestão de processos de negócio
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Publicado:
Ago 29, 2016
Palavras-chave:
gestão de processos de negócio, identificação de falhas, melhoria de processos de negócio, mineração de processos
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Resumo
Ao adotar a abordagem de processos de negócio, as organizações advertiram que administrar estes processos não é uma tarefa trivial. A fim de apoiar a gestão destes processos de negócio, surgiu a mineração de processos - uma tecnologia que permite analisar e melhorar os processos de uma maneira automática. Os benefícios da mineração de processos são amplos, mas muitas organizações, principalmente na América Latina, não conhecem nem utilizam esta tecnologia. Para reduzir este desconhecimento, neste artigo apresentam-se casos reais da aplicação da tecnologia e os resultados positivos das mesmas. Além disso, apresentam-se melhorias de uma técnica especializada de mineração de processos para identificar a origen das falhas nos processos de negócio. 103 Tem sido demonstradas as vantagens de aplicação de mineração de procesos em varias organizações e a eficiência das melhorias implementadas na técnica de identificação de falhas.
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Como Citar
Calderón-Ruiz, G. E., & Velarde-Bedregal, H. R. (2016). A mineração de processos, uma tecnología para automatizar a gestão de processos de negócio. Ingenio Magno, 7(1), 102-115. Recuperado de http://revistas.ustatunja.edu.co/index.php/ingeniomagno/article/view/1169
Seção
Artículos Vol. 7-1
DECLARACIÓN DE ORIGINALIDAD DE ARTÍCULO PRESENTADO
Por medio del presente documento, certifico(amos) que el artículo que se presenta para posible publicación en la revista institucional INGENIO MAGNO del Centro de Investigaciones de Ingeniería Alberto Magno CIIAM de la Universidad Santo Tomás, seccional Tunja, es de mi (nuestra) entera autoría, siendo su contenido producto de mi (nuestra) directa contribución intelectual y aporte al conocimiento.
Todos los datos y referencias a publicaciones hechas están debidamente identificados con su respectiva nota bibliográfica y en las citas que se destacan como tal. De requerir alguna clase de ajuste o corrección, comunicaré(emos) de tal procedimiento con antelación a los responsables de la revista.
Por lo anteriormente expresado, declaro(amos) que el material presentado en su totalidad se encuentra conforme a la legislación aplicable en materia de propiedad intelectual e industrial de ser el caso, y por lo tanto, me(nos) hago (hacemos) absolutamente responsable(s) de cualquier reclamación relacionada a esta.
En caso que el artículo presentado sea publicado, manifiesto(amos) que cedo(emos) plenamente a la Universidad Santo Tomás, seccional Tunja, los derechos de reproducción del mismo.
Referências
Andreu, V. (2013). La gestión por procesos vs. la gestión por funciones. Recuperado de http://www. infocapitalhumano.pe/recursos-humanos/articulos/lagestion-por-procesos-vs-la-gestion-por-funciones/
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.
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.