Redução de Custos nas Organizações Públicas com Método de Mineração de Processos: um Estudo de Caso no Controle de Férias
Resumo
Percebe-se uma escassez de modelos e métodos que efetivamente ajudem as organizações públicas a reduzir custos e otimizar o uso de recursos nos fluxos de trabalho de gestão de pessoas, em especial no controle de férias. Este artigo descreve um modelo de mineração de processos para a análise do processo de controle de férias de servidores nos órgãos públicos. O método vai ser apresentado através de uma visão geral, uma breve apresentação de ferramentas e a aplicação do modelo em um caso real numa organização judicial, apresentando resultados que respondem a seis questões de pesquisa.
Palavras-chave:
Mineração de processos, método, órgão público, gestão de pessoas, férias
Referências
Amorim, P. R. and Gomes, T. N. P. 2003. Gasto Energético na Atividade Física: Pressupostos, Técnicas de Medida e Aplicabilidade. Shape, Rio de Janeiro.
Android. 2015. Android Wear. Retrieved from http://www.android.com/wear/
Appelboom, G. et al. 2014. Smart wearable body sensors for patient self -assessment and monitoring. Archives of Public Health, 72, 1 (Aug. 2014). London.
Apple. 2015. Apple Watch. Retrieved from http://www.apple.com/watch/health-and-fitness/
Apple. 2015. Health: An entirely new way to use your health and fitness information. Retrieved from https://www.apple.com/ios/whats-new/health
Araújo, R. B. 2003. Computação Ubíqua: Princípios, Tecnologias e Desafios. In Simpósio Brasileiro de Redes de Computadores (SBRC, Natal, 2003). Anais eletrônicos..., UFRN, Natal.
Bort-Roig, J. et al. 2014. Measuring and influencing physical activity with smartphone technology: a systematic review. Sports Medicine. 44, 5 (May 2014), 671-686.
Case, M. et al. 2015. Accuracy of smartphone applications and wearable devices for tracking physical activity data. The Journal of the American Medical Association. 313, 6 (Feb. 2015), 625-626.
Davis, F. D. 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly. 13, 3 (Sep. 1989), 319-340. DOI:http://dx.doi.org/10.2307/249008
Filho, W. P. P. 2000. Engenharia de. Software: fundamentos, métodos e padrões (3th. ed.). LTC, Rio de Janeiro.
Google. 2015. Google Fit. Retrieved from https://developers.google.com/fit/overview
Goulart, L. J. et al. 2006. Saúde e tecnologia da informação: convergência e mobilidade. In Congresso Brasileiro de Informática Em Saúde (CBIS, Florianópolis, 10, 2006). Anais eletrônicos..., USP, São Paulo.
Guedes, G. T. A. 2011. UML 2: uma abordagem prática (2nd. ed.). Novatec, São Paulo.
Guillén, S. et al. 2009. New technologies for promoting a healthy diet and active living. Nutrition reviews. 67, 1 (May 2009), 107-110. DOI= http://dx.doi.org/10.1111/j.1753- 4887.2009.00171
Hu, F., Smeaton, A. and Newman, E. 2014. Periodicity Detection in Lifelog Data with Missingand Irregularly Sampled Data. In Bioinformatics and Biomedicine (BIBM, Belfast, 2014), IEEE International Conference, 16-23 DOI=http://dx.doi.org/10.1109/BIBM.2014.6999284
Institute of Medicine. 2002. Dietary Reference Intakes for Energy, Carbohydrate, Fiber, Fat, Fatty Acids, Cholesterol, Protein, and Amino Acids. National Academy Press, Washington (DC).
Likert, R. 1932. A Technique for the Measurement of Attitudes. Archives of Psychology. 22, 140 (1932), 1-55.
Mell, P. and Grance, T. 2011. The NIST Definition of Cloud Computing. Computer Security Division, Information Technology Laboratory, National Institute of Standards and Technology, United States Department of Commerce. Gaithersburg: National Institute of Standards and Technology – NIST, (Sep. 2011).
Menezes Junior, J. V. et al. 2011. InteliMed: uma experiência de desenvolvimento de sistema móvel de suporte ao diagnóstico médico. Revista Brasileira de Computação Aplicada. 3, 1 (Mar. 2011), 30-42.
Patel, M., Asch, D. and Volpp, K. 2015. Wearable Devices as Facilitators, Not Drivers, of Health Behavior Change. Journal of the American Medical Association. 313, 5 (Feb. 2015), 459-460. DOI:10.1001/jama.2014.14781
Pressman, R. 2010. Software engineering – a practitioner’s approach. (7th. ed.). McGraw-hill, New York.
Price Waterhouse Coopers. 2014. The wearable: future consumer intelligence series. Retrieved from http://www.pwc.com/us/en/retailconsumer/publications/assets/pwc-cis-wearable-future.pdf
Sareen, P. 2013. Cloud Computing: Types, Architecture, Applications, Concerns, Virtualization and Role of IT Governance in Cloud. International Journal of Advanced Research in Computer Science and Software Engineering. 3, 3 (Mar. 2013).
Weiser, M. 1991. The Computer for the 21st Century. Scientific American. 265, 3 (Set. 1991), 94-104
World Health Organization. 2009. Global health risks: mortality and burden of disease attributable to selected major risks. Retrieved from http://www.who.int/healthinfo/global_burden_disease/GlobalHealthRisks_report_full.pdf
World Health Organization. 2010. Global recommendations on physical activity for health. Retrieved from http://whqlibdoc.who.int/publications/2010/9789241599979_eng.pdf
World Health Organization. 2012. Physical activity: Health topics. Retrieved from http://www.who.int/topics/physical_activity/en/
World Health Organization. 2014. Physical activity. Factsheet N°385. Retrieved from http://www.who.int/mediacentre/factsheets/fs385/en/
Android. 2015. Android Wear. Retrieved from http://www.android.com/wear/
Appelboom, G. et al. 2014. Smart wearable body sensors for patient self -assessment and monitoring. Archives of Public Health, 72, 1 (Aug. 2014). London.
Apple. 2015. Apple Watch. Retrieved from http://www.apple.com/watch/health-and-fitness/
Apple. 2015. Health: An entirely new way to use your health and fitness information. Retrieved from https://www.apple.com/ios/whats-new/health
Araújo, R. B. 2003. Computação Ubíqua: Princípios, Tecnologias e Desafios. In Simpósio Brasileiro de Redes de Computadores (SBRC, Natal, 2003). Anais eletrônicos..., UFRN, Natal.
Bort-Roig, J. et al. 2014. Measuring and influencing physical activity with smartphone technology: a systematic review. Sports Medicine. 44, 5 (May 2014), 671-686.
Case, M. et al. 2015. Accuracy of smartphone applications and wearable devices for tracking physical activity data. The Journal of the American Medical Association. 313, 6 (Feb. 2015), 625-626.
Davis, F. D. 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly. 13, 3 (Sep. 1989), 319-340. DOI:http://dx.doi.org/10.2307/249008
Filho, W. P. P. 2000. Engenharia de. Software: fundamentos, métodos e padrões (3th. ed.). LTC, Rio de Janeiro.
Google. 2015. Google Fit. Retrieved from https://developers.google.com/fit/overview
Goulart, L. J. et al. 2006. Saúde e tecnologia da informação: convergência e mobilidade. In Congresso Brasileiro de Informática Em Saúde (CBIS, Florianópolis, 10, 2006). Anais eletrônicos..., USP, São Paulo.
Guedes, G. T. A. 2011. UML 2: uma abordagem prática (2nd. ed.). Novatec, São Paulo.
Guillén, S. et al. 2009. New technologies for promoting a healthy diet and active living. Nutrition reviews. 67, 1 (May 2009), 107-110. DOI= http://dx.doi.org/10.1111/j.1753- 4887.2009.00171
Hu, F., Smeaton, A. and Newman, E. 2014. Periodicity Detection in Lifelog Data with Missingand Irregularly Sampled Data. In Bioinformatics and Biomedicine (BIBM, Belfast, 2014), IEEE International Conference, 16-23 DOI=http://dx.doi.org/10.1109/BIBM.2014.6999284
Institute of Medicine. 2002. Dietary Reference Intakes for Energy, Carbohydrate, Fiber, Fat, Fatty Acids, Cholesterol, Protein, and Amino Acids. National Academy Press, Washington (DC).
Likert, R. 1932. A Technique for the Measurement of Attitudes. Archives of Psychology. 22, 140 (1932), 1-55.
Mell, P. and Grance, T. 2011. The NIST Definition of Cloud Computing. Computer Security Division, Information Technology Laboratory, National Institute of Standards and Technology, United States Department of Commerce. Gaithersburg: National Institute of Standards and Technology – NIST, (Sep. 2011).
Menezes Junior, J. V. et al. 2011. InteliMed: uma experiência de desenvolvimento de sistema móvel de suporte ao diagnóstico médico. Revista Brasileira de Computação Aplicada. 3, 1 (Mar. 2011), 30-42.
Patel, M., Asch, D. and Volpp, K. 2015. Wearable Devices as Facilitators, Not Drivers, of Health Behavior Change. Journal of the American Medical Association. 313, 5 (Feb. 2015), 459-460. DOI:10.1001/jama.2014.14781
Pressman, R. 2010. Software engineering – a practitioner’s approach. (7th. ed.). McGraw-hill, New York.
Price Waterhouse Coopers. 2014. The wearable: future consumer intelligence series. Retrieved from http://www.pwc.com/us/en/retailconsumer/publications/assets/pwc-cis-wearable-future.pdf
Sareen, P. 2013. Cloud Computing: Types, Architecture, Applications, Concerns, Virtualization and Role of IT Governance in Cloud. International Journal of Advanced Research in Computer Science and Software Engineering. 3, 3 (Mar. 2013).
Weiser, M. 1991. The Computer for the 21st Century. Scientific American. 265, 3 (Set. 1991), 94-104
World Health Organization. 2009. Global health risks: mortality and burden of disease attributable to selected major risks. Retrieved from http://www.who.int/healthinfo/global_burden_disease/GlobalHealthRisks_report_full.pdf
World Health Organization. 2010. Global recommendations on physical activity for health. Retrieved from http://whqlibdoc.who.int/publications/2010/9789241599979_eng.pdf
World Health Organization. 2012. Physical activity: Health topics. Retrieved from http://www.who.int/topics/physical_activity/en/
World Health Organization. 2014. Physical activity. Factsheet N°385. Retrieved from http://www.who.int/mediacentre/factsheets/fs385/en/
Publicado
17/05/2016
Como Citar
GANDULFO, Pablo I.; NUNES, Vanessa T.; RALHA, Celia Ghedini; COIMBRA, Elaine do N..
Redução de Custos nas Organizações Públicas com Método de Mineração de Processos: um Estudo de Caso no Controle de Férias. In: SIMPÓSIO BRASILEIRO DE SISTEMAS DE INFORMAÇÃO (SBSI), 12. , 2016, Florianópolis.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2016
.
p. 589-596.
DOI: https://doi.org/10.5753/sbsi.2016.6010.