Engenharia de Produção
URI permanente desta comunidadehttps://repositorio.fei.edu.br/handle/FEI/19
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4 resultados
Resultados da Pesquisa
- Scatter search for a real-life heterogeneous fleet vehicle routing problem with time windows and split deliveries in Brazil(2009-12-05) BELFIORE, P.; YOSHIZAKI, H. T. Y.In this paper, we consider a real-life heterogeneous fleet vehicle routing problem with time windows and split deliveries that occurs in a major Brazilian retail group. A single depot attends 519 stores of the group distributed in 11 Brazilian states. To find good solutions to this problem, we propose heuristics as initial solutions and a scatter search (SS) approach. Next, the produced solutions are compared with the routes actually covered by the company. Our results show that the total distribution cost can be reduced significantly when such methods are used. Experimental testing with benchmark instances is used to assess the merit of our proposed procedure. © 2008.
- Demand forecasting methods in the Brazilian food industries O uso de métodos de previsão de demanda nas indústrias alimentícias Brasileiras(2015) CECATTO, C.; BELFIORE, P.This study aims to better understand the demand forecasting methods used by the Brazilian food industry. A questionnaire was developed and sent to a sample of 450 companies from ABIA (Brazilian Association of Food Industries) which represents 70% of the industry.Tthe response rate was 14.4%. The goal of this research is to detect which and how the demand forecasting methods have been used by these companies, the main factors influencing the choice of method and what are the main obstacles that they face. The data was analyzed by multivariate statistical techniques such as correspondence analysis and discriminant analysis using the statistical software SPSS. The results show that the historical analysis model is the most used; that the main factors influencing the choice of models are the type of product and the time spent, and the main obstacles are the software availability and difficulty in understanding.
- An empirical analysis of a neural network model for the time series forecasting of different industrial segments(2015) ZOUCAS, F. A. M.; BELFIORE, P.Copyright © 2015 Inderscience Enterprises Ltd.This paper aims to propose a neural network model for forecasting the production time series of 11 different industries in Brazil. The data was collected from Brazilian Institute of Geography and Statistics (IBGE). Firstly, we study different networks topologies that have been implemented in the literature in recent years, such as perceptron, linear networks, multi-layer perceptron (MLP), probabilistic network, Hopfield model, Kohonen model, time delay neural network (TDNN), Elman and Jordan network, in addition to the backpropagation and Levenberg-Marquadt algorithms. Studying the behaviour of these time series and the main characteristics of the each network topology, we conclude that the TDNN with multi-layer perceptron is the best to estimate the production time series of 11 industrial segments. The neural network was then applied considering two different strategies of structural model. We conclude that the neural network model proposed was effective for forecasting production time series in these industries.
Artigo The supply chain of fresh vegetables in Brazil: the relations between retailers and fresh vegetable suppliers(2016) Souza, Roberta de Castro; SCUR, Gabriela;SCUR, GABRIELA; BELFIORE, P.; Chang