Uma Metodologia de suporte à tomada de decisão de investimentos no setor produtivo da mamona: um enfoque econômico no pequeno produtor

• Ano de defesa: 2008
• Autor(a) principal: Maia, Glawther Lima
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Palavras-chave em Português: Logística; Pesquisa operacional; Análise de investimentos; Cadeia produtiva da mamona; Processo decisório
• Link de acesso: http://www.repositorio.ufc.br/handle/riufc/19031

The castor bean agribusiness is supported by a complex supply chain that involves several inputs, main products and other derived products. Efforts towards the structuring of this incipient chain are essential, aiming to minimize the inefficiencies in its links and maximize benefits generated from it. So, the control of production costs is a basic and extremely important activity for the optimization of management processes and for the guiding of daily decisions regarding the production process and the market-oriented strategies in that chain. In order to have a more accurate evaluation of the costs and revenues, it is necessary to take into account the complete production cycle, involving the acquisition of seeds, fertilizers and toxic substances used in agricultural practices; soil preparation, plantation; harvest; storage; transport and industrial process, in addition to the sale of associated products, derived products and also the revenue coming from the reduction of greenhouse gases. Using literature research, case study and assessment of scenarios, the present work was developed with the objective of conceiving a methodology, based on theoretical and economic aspects, the formation of costs and the revenue forecasting, which is applied with the aid of a computational program for supporting decision taking in the castor small producers agribusiness. The results obtained in the case study show, for example, that about 40% of the projects are considered accepted under the criterion of recovering the invested capital in less than 2 years. Also, it reveals that 75% of the projects contribute for the increase of the producer income and about 63% of the projects provide enough profit to remunerate third capital and proper capital employed in the operations as well as add value to the producer's properties. Finally, it is clear that the proposed methodology makes easier a better agricultural planning, allowing a better utilization of the raw material and it facilitates the analysis of diversifying other derived products and revenue sources in the castor bean chain.