Demand Forecasting
Mostrando 1-12 de 47 artigos, teses e dissertações.
-
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
-
2. Two approaches to calculate TVDI in humid subtropical climate of southern Brazil
ABSTRACT: Soybean crops occupy most areas in Rio Grande do Sul State and are highly dependent on rainfall since most of them are non-irrigated. Rainfall during the harvest period is often insufficient to meet the water demand, making water indicators an important tool for the crops. This study compared two approaches in the parameterization process of TVDI (
Sci. agric. (Piracicaba, Braz.). Publicado em: 2018-04
-
3. A Forecasting Tool for Predicting Australia's Domestic Airline Passenger Demand Using a Genetic Algorithm
ABSTRACT: This study has proposed and empirically tested for the first time genetic algorithm optimization models for modelling Australia's domestic airline passenger demand, as measured by enplaned passengers (GAPAXDE model) and revenue passenger kilometres performed (GARPKSDE model). Data was divided into training and testing datasets; 74 training datasets
J. Aerosp. Technol. Manag.. Publicado em: 2015-12
-
4. Using Common Features to Understand the Behavior of Metal-Commodity Prices and Forecast them at Different Horizons
The objective of this article is to study (understand and forecast) spot metal price levels and changes at monthly, quarterly, and annual horizons. The data to be used consists of metal-commodity prices in a monthly frequency from 1957 to 2012 from the International Financial Statistics of the IMF on individual metal series. We will also employ the (relative
Escola de Pós-Graduação em Economia da FGV. Publicado em: 03/01/2013
-
5. INVENTORY MANAGEMENT OF PIECES OF UNIFORMS IN THE BRAZILIAN NAVY / GERENCIAMENTO DE ESTOQUE DE PEÇAS DE UNIFORMES NA MARINHA DO BRASIL
The objective of this dissertation is to develop and establish an inventory management method for uniforms through IT solutions that can be used by all inventory managers at uniform distribution points. With this in mind, studies were conducted on techniques for material classification, short term demand forecasting, inventory management (continuous review m
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 15/06/2012
-
6. A Methodology to forecast air transportation demand with alternative econometric models
This thesis presents a methodology using a portfolio of time-series models, from conventional ARMA to a regime-changing framework. The objective is to develop an air transportation demand modeling to inspect potential structural breaks in the Brazilian market, due to solve underlying issues of new demand creation. Out-of-sample forecasting is used to generat
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 30/05/2012
-
7. 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
-
8. 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
-
9. Previsão de demanda de água na Região Metropolitana de São Paulo com redes neurais e artificiais e condições sócio-ambientais e meteorológicas. / Water demand forecasting in the metropolitan area São Paulo with Artificial Neural Network and socioenvironmental and meteorological conditions.
O presente trabalho apresenta a previsão de demanda de água em sistemas urbanos de abastecimento através de Rede Neural Artificial (RNA) utilizando dados de consumo de água e variáveis meteorológicas e socioambientais. A RNA utilizada foi uma de três camadas chamada de rede de múltiplas camadas alimentadas adiante com o algoritmo de treinamento LLSSI
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 17/05/2011
-
10. PREVENDO O CRESCIMENTO DA PRODUÃÃO INDUSTRIAL: UMA ANÃLISE A PARTIR DA DEMANDA DE ENERGIA ELETRICA NO ESTADO DO CEARÃ / PREDICTING THE GROWTH OF INDUSTRIAL PRODUCTION: AN ANALYSIS FROM THE DEMAND FOR ELECTRIC ENERGY IN THE STATE OF CEARA
A tempestividade com a qual os agentes econÃmicos tomam suas decisÃes estimula o desenvolvimento de ferramentas que permitam antecipar as mudanÃas nos agregados econÃmicos. Deste modo, o estudo realiza uma anÃlise e previsÃo da produÃÃo industrial cearense a partir do consumo de energia elÃtrica mensurado pela COELCE. Modelos Vetoriais Auto-regressi
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 28/02/2011
-
11. FORECASTING THE INDUSTRIAL ELECTRIC ENERGY DEMAND DURING THE POST CRISIS PERIOD USING VAR AND BVAR MODELS: A COMPARISON ANALYSIS / ANÁLISE COMPARATIVA DA PREVISÃO DE DEMANDA DE ENERGIA ELÉTRICA INDUSTRIAL NO PERÍODO PÓS - CRISE: UMA APLICAÇÃO DOS MODELOS VAR E BVAR
Esse estudo tem como objetivo efetuar previsões não condicionadas de demanda de energia elétrica no Brasil para a classe industrial entre os meses de Janeiro e Dezembro de 2010. Para tanto, verificou-se a causalidade entre as variáveis em estudo, em seguida se as mesmas eram estacionárias ou processos integrados. Posteriormente procedeu-se ao teste de c
Publicado em: 2011
-
12. 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