Navegando por Autor "LIMA, Orlem Pinheiro de"

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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.
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 Júnior
This 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.
MODELO PARA AVALIAR O DESEMPENHO DA LOGÍSTICA INTERNA
(Universidade Federal de Santa Catarina, 2017) LIMA, Orlem Pinheiro de; RODRIGUEZ, Carlos Manuel Taboada
The market has demanded efficiency, effectiveness, creativity, and agility from organizations, requiring them to be competitive and sustainable. Logistics is a fundamental strategic link, yet the literature lacks studies on the organization and evaluation of internal logistics. This thesis aims to develop a Model to Evaluate the Level of Internal Logistics Performance, identifying its component parts and how they are structured and measured. The study was based on bibliographical, bibliometric, and empirical research, identifying a gap. A methodology with 16 steps was developed, using multicriteria methods, Solver Excel, and the Fuzzy Logic toolbox (MATLAB). Initially, 15 component parts of internal logistics were established, adjusted, and validated as 13 through interaction with industry specialists. The model was tested in three companies, confirming consistency in the analyses with 95% accuracy. Results include identifying component parts, defining priority weights, properties of components, and a mathematical equation to calculate an index defining the Model, offering both conceptual and practical contributions to the literature and business competitiveness.
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.