Methods Of Demand Forecasting
Mostrando 1-11 de 11 artigos, teses e dissertações.
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1. Lowering costs for large-scale screening in psychosis: a systematic review and meta-analysis of performance and value of information for speech-based psychiatric evaluation
Objective: Obstacles for computational tools in psychiatry include gathering robust evidence and keeping implementation costs reasonable. We report a systematic review of automated speech evaluation for the psychosis spectrum and analyze the value of information for a screening program in a healthcare system with a limited number of psychiatrists (Maputo, M
Braz. J. Psychiatry. Publicado em: 2020-12
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2. BIAS DETECTION IN DEMAND FORECASTING / DETECÇÃO DE VIÉS NA PREVISÃO DE DEMANDA
The purpose of this dissertation is to propose two new methods for detection of biases in demand forecasting. These methods are adaptations of two statistical process control techniques, the EWMA control chart and the CUSUM control chart (or CUSUM algorithm), to the context of the detection of biases in demand forecasting. The performance of the proposed met
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 14/09/2011
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3. Análise e proposta de melhoria do processo de previsão de demanda em uma pequena empresa do setor de cosméticos
Nowadays, even small-sized enterprises are investing in integrated management systems, called ERP (Enterprise Resource Planning), as a way to solve planning problems and to better control their cash flow. However, these enterprises end up neglecting one of the main inputs to improve the PPC (Production Planning and Control): the demand forecast. Thus, planni
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 06/07/2011
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4. Previsão de demanda de autopeças com redes neurais
This paper presents a methodology for forecasting demand parts based on Artificial Neural Networks (ANN). To validate it, we performed a comparative study on a reference work in the literature, which is based on exponential smoothing and moving average methods. The products are grouped into 10 categories according to proximity, resulting on 72 monthly observ
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 20/08/2010
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5. Previsão de demanda de acessos móveis no sistema de telefonia brasileiro
No presente trabalho são aplicadas ferramentas estatísticas quantitativas clássicas no setor de telefonia móvel brasileiro a fim de comparar os seus resultados. Uma metodologia é proposta para a aplicação destas ferramentas de um modo prático em uma de uma operadora de telefonia celular brasileira. Após são aplicados os métodos de previsão às s�
Publicado em: 2008
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6. Utilização de perfis multi-temporais do NDVI/AVHRR no acompanhamento da safra de soja no oeste do Parana / Use of NDVI/AVHRR time-series profiles for soybean crop monitoring in the west of Parana, Brazil
Crop yield forecasting systems are important sources of information for helping Governrnent and private institutions in agricultural trade matters. The traditional methods of crop yield forecasting norma1ly do not provide precise estimations, due to its subjectivity. The use of Geothecnology has been studied for the development of more efficient crop yield f
Publicado em: 2007
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7. CHOICE OF A FORECASTING DEMAND MODEL FOR NEWSPAPERS AT NEWSTANDS POINTS / DETERMINAÇÃO DE UM MODELO DE PREVISÃO DE DEMANDA POR JORNAIS EM PONTOS DE VENDA / DETERMINACIÓN DE UN MODELO DE PREVISIÓN DE DEMANDA DE PERIÓDICOS EN LOS PUNTOS DE VENTA
This report has analyzed the issue of distributing the newspaper A Gazeta to sales stands. As a first step, a research was done on circulation within the areas of Distribution Systems and Demanding Forecast Methods. Besides, a study on logistic grounds was carried out about the current system of distribution and demanding forecast by S/A A Gazeta, which prod
Publicado em: 1999
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8. Previsão de carga no periodo de demanda de ponta utilizando redes neurais artificiais
The ability to accurately predict the system load is vital to the efficient, economic, and secure operation and planning of a power system. This work investigates the use of artificial neural networks for short and very short-term load peak demand forecasting. Two forecasting algorithms are tested and evaluated based on their precision and computational load
Publicado em: 1996
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9. STATE SPACE MODELS: MULTIVARIATE FORMULATION APPLIED TO LOAD FORECASTING / MODELOS EM ESPAÇO DE ESTADO: FORMULAÇÃO MULTIVARIADA APLICADA À PREVISÃO DE CARGA ELÉTRICA
The analysis of time series is, nowadays one of the most important tools in the decision making process, due mainly to the globalization of the world. As an illustration of that we can mention the recent contract signed between NEC/PUC-Rio and CEPEL/Eletrobrás, where time series techniques are to be used in the planning process of the brazilian sector. The
Publicado em: 1996
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10. Metodos de previsão da demanda mineral
A variety of conceptual and methodological issues as well as data problems are encountered in forecasting metal demand. How these obstacles are handled can significantly affect the final results. The intensity of use of a mineral defined as the consumption of the mineral divided by gross domestic product are commonly used for demand projections. The purpose
Publicado em: 1990
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11. Forecasting demand for long-term care services.
This article analyzes three methods used to forecast the transition of long-term care clients through a variety of possible home and facility placements and levels of care. The test population (N = 1,653) is derived from the larger population of clients admitted in 1978 to British Columbia's newly established Long-Term Care program. The investigators have ac