Navegando por Autor "SANTIAGO, Sandro Breval"

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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 Leite
The 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.
MEDIÇÃO DA INTEROPERABILIDADE LOGÍSTICA COM USO DO MODELO DE EQUAÇÕES ESTRUTURAIS
(Universidade Federal de Santa Catarina, 2017) SANTIAGO, Sandro Breval; RODRIGUEZ, Carlos Manoel Taboada
The logistic interoperability (IOL) measurement model can contribute to improving operations, responsiveness, and costs of organizations in terms of logistics operations. The main objective of this thesis is to contribute to the development of a measurement model of the degree of logistic interoperability, as well as to the theoretical creation and support of the concept of logistic interoperability. Based on the established research method, a portfolio was built serving as a basis for the elaboration of the conceptual model, discussed and legitimized with logistics specialists from the Manaus Industrial Hub (PIM). The conceptual model included the following exogenous latent variables: strategy, inbound logistics, outbound logistics, and internal logistics, along with the endogenous variable: IOL itself. Thirteen indicators and 76 observable variables were constructed. Structural equation modeling (SEM) was applied with the partial least squares technique (PLS-PM) using SmartPLS® software. The results demonstrated the adherence of the proposed model, with convergent and discriminant validity, consistency, and reliability, with effective application in an industrial company of the PIM.
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 Leite
The 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.