Sales forecasting in a mechanical component manufacturer: comparison between monte carlo simulation and time series analysis
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References
ARENALES, M.; et al. (2015) Pesquisa operacional para cursos de engenharia. 2ª Ed. Rio de Janeiro: Elsevier.
ARMSTRONG, J. S. (Ed.). (2001) Principles of forecasting: a handbook for researchers and practitioners. 1st Ed. New York. Springer Science & Business Media.
CHOPRA, S.; MEINDL, P. (2003) Gerenciamento da Cadeia de Suprimentos: Estratégia, Planejamento, e Operação. São Paulo: Cengage Learning.
DAVIS, M. M.; CHASE, R. B.; AQUILANO, N. J. (2001) Fundamentos da administração da produção. 3ª Ed. São Paulo: Bookman.
DONATELLI, G. D.; KONRATH, A. C. (2005) Simulação de Monte Carlo na avaliação de incertezas de medição. Revista de Ciência e Tecnologia, v. 13, n. 5.
FERNANDES, CAB de A. (2005) Gerenciamento de riscos em projetos: como usar o Microsoft Excel para realizar a simulação Monte Carlo. Fundação Getúlio Vargas.
GARCIA, S.; LUSTOSA, P. R. B.; BARROS, N. R. (2010) Aplicabilidade do método de simulação de Monte Carlo na previsão dos custos de produção de companhias industriais: o caso da Companhia Vale do Rio Doce, Revista de Contabilidade e Organizações, v. 4, n. 10, p. 152-173.
HAACK, V. O.; RODRIGUES, J. T. M. C. (2018) Previsão de demanda. ENPEX-Salão de Ensino, Pesquisa e Extensão do IFRS Campus Canoas, v. 1, n. 7.
HAIR, J. F.; et al. (2009) Multivariate data analysis with readings. Macmillan Publishing Company.1st Ed New York.
HARREL, C.; GHOSH, B. K.; BOWDEN, R. O. (2004) Simulation using Promodel. 2th Ed. MacGrawhill.
HEIZER, J.; RENDER, B. (2004) Operations management. 7ª ed. Upper Saddle River, NJ: Pearson Education.
HELENE, O. (2006) Métodos dos Mínimos Quadrados. 1ª Ed. São Paulo. Editora Livraria da Física.
LEMOS, F. O. (2006) Metodologia para seleção de métodos de previsão de demanda. Dissertação de M.Sc., UFRGS, Porto Alegre, RS.
MAKRIDAKIS, S. (1989) Why combining works? International Journal of Forecasting, v. 5, p. 601-603.
MATIAS JR., R. (2006) Análise quantitativa de risco baseada no método de Monte Carlo: abordagem PMBOK. In: I Congresso Brasileiro de Gerenciamento de Projetos–Florianópolis.
MCKENNA, R. (2005) Marketing de relacionamento. Rio de Janeiro: Elsevier.
MENDES, A. S.; SILVA, A. M.; KAWAMOTO JUNIOR, L. T. (2016) Balance capacity with variability caused by human factor: An application in a line with monte carlo simulation. Independent Journal of Management & Production, v. 7, p. 627-642.
MOREIRA, D. M. (2001) Administração da produção e operações. 1ª Ed. Curitiba. Pioneira Thomson Learning.
MORETTIN, P. A; TOLOI, C. M. C. (1987) Previsão de séries temporais. 2ª ed. São Paulo: Atual editora.
PELLEGRINI, F. R.; FOGLIATTO, F. S. (2001) Passos para implantação de sistemas de previsão de demanda: técnicas e estudo de caso. Production, v. 11, n. 1, p. 43-64.
SEVERINO, A. J. (2017) Metodologia do trabalho científico. 24ª Ed. São Paulo Cortez editora.
TUBINO, D. F. (2009) Planejamento e controle da produção: teoria e prática. 2ª Ed. São Paulo. Atlas.
WERNER, L.; RIBEIRO, J. L. D. (2006) Modelo composto para prever demanda através da integração de previsões. Production, v. 16, n. 3, p. 493-509, 2006.