Artigos
URI permanente para esta coleçãohttps://rigalileo.itegam.org.br/handle/123456789/219
Artigos produzidos de convênios e parcerias com IES
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Resultados da Pesquisa
Item Uso do Método Holt-Winters para Previsão do PU de Títulos Públicos Federais do Brasil(INSTITUTO DE TECNOLOGIA, 2015) SANTIAGO, Sandro Breval; LIMA, Orlem Pinheiro de; RODRÍGUEZ, Carlos Manuel Taboada; Jandecy Cabral LeiteThe article evaluates the predictive capability of the Holt-Winters exponential smoothing method for forecasting the Unit Prices (PU) of Brazilian National Treasury Notes – type B (NTN-B) in the secondary market. The sample comprises daily PU quotations from January to December 2012. Results, analyzed using MAPE (0.33%) and Theil’s U (0.928) metrics, demonstrate that the additive Holt-Winters method is effective for pricing these securities, serving as a valuable tool for financial market trading decisions.Item La importancia de las funciones de planificación y control de la producción en fabricación(INSTITUTO DE TECNOLOGIA, 2013) LIMA, Orlem Pinheiro de; MADURO, Márcia Ribeiro; LEITE, Jandecy Cabral; SILVA, Carlos Américo de Souza; Prof. Dr. Carlos Tavares da Costa JúniorThis article analyzes the importance of the functions of production planning and control (PPC) in the manufacturing sector. Based on a literature review of 14 national and international authors, the study identifies differences in the approaches to PPC functions, but emphasizes a general agreement on its relevance for coordinating planning and operational execution. It concludes that, regardless of the industry type, PPC plays a strategic role in identifying deviations, proposing corrections, and ensuring process efficiency.Item Análisis del Pronóstico de Ventas del Sector de Dos Ruedas Utilizando Métodos Estadísticos de Suavizado Exponencial(INSTITUTO DE TECNOLOGIA, 2015) LIMA, Orlem Pinheiro de; SANTIAGO, Sandro Breval; RODRÍGUEZ, Carlos Manuel Taboada; Jandecy Cabral LeiteThe study presents a demand forecasting analysis for a plastic injection industry in the Manaus Industrial Pole (PIM), using the Holt-Winters exponential smoothing method. Monthly sales data over 36 months (2010-2012) were analyzed, identifying additive seasonality patterns. The model was evaluated using Mean Absolute Percentage Error (MAPE) and Theil's U coefficient, demonstrating forecasting efficacy and emphasizing the importance of error analysis for continuous improvements.