Logística como suporte de um modelo de transporte para laminados de madeira

• Ano de defesa: 2010
• Autor(a) principal: Scandolara, Neudi Luís
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso embargado
• Idioma: por
• Instituição de defesa: Universidade Tecnológica Federal do Paraná; Ponta Grossa; Brasil; Departamento Acadêmico de Engenharia de Produção; Programa de Pós-Graduação em Engenharia de Produção; UTFPR
• Palavras-chave em Português: Logística; Transportes; Materiais laminados; Logistics; Transportation; Laminated materials; CNPQ::ENGENHARIAS::ENGENHARIA DE PRODUCAO; Engenharia de Produção
• Link de acesso: http://repositorio.utfpr.edu.br/jspui/handle/1/3693

The current business environment is characterized by the frequency and speed of political changes, socioeconomic factors, cultural and technological. On this context of changes, comes the need for organizations to become flexible and adaptable to suit this new environment. This study aims to analyze logistics systems, using a mathematical model for decision making of the best alternative transportation in the physical distribution of products in an industry producing laminated wood. Besides the general purpose, the study also proposes to assess the possibility of physical distribution through the various combinations of transportation modes. Define a logistic network models that facilitates the analysis and definition of the best transportation alternative, and finally, by evaluating the mathematical model, factors related to cost, time and risk of the logistics operation of different transport options. To achieve the objectives of the work, the methodological approach is characterized as inductive, applied, qualitative and quantitative, exploratory and conducted in the form of survey. Through the variables that make up the model (cost, time and risk), the results show the benefit of using the mathematical model that generated reliable data for decision making that possible gains in the transport operation independent of geographical location, and can adapt to meet the seasonality of the market, prioritizing the most important variable for every need of physical distribution.