Desenvolvimento de um sistema de apoio à decisão com acesso pela internet para determinação de custos em unidades armazenadoras

• Autor(a) principal: Valente, Domingos Sárvio Magalhães
• Data de Publicação: 2007
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: LOCUS Repositório Institucional da UFV
• Texto Completo: http://locus.ufv.br/handle/123456789/3679
• topic: Grãos; Armazenamento; Custos; Software de aplicação; Grain; Storage; Costs; Application software; CNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA::ENGENHARIA DE PROCESSAMENTO DE PRODUTOS AGRICOLAS

For grain storage facility management, different unit operations are involved such as: receiving, cleaning, drying, storage and dispatching. To perform these operations, different structures, equipments, labor, energy and inputs are needed. Several research works have being done on analyzing the grain storage facility costs, although few of them take into account the analysis of factors associated to all preprocessing and storage steps. Therefore the objective of this work was to develop an internet decision support system for determining the grain storage facility costs and charging rates in grain store facilities. The costs were determined for each unit operation including depreciation, repair, maintenance, insurance, labor housing, energy, inputs, permanent and temporary labor. For estimating the drying and cleaning systems capacities, technical coefficient values were defined as function of the physical properties of the products. The reception and dispatching costs were calculated in terms of tones of received product by the storage facility assuming the annual capacity occupancy index and its static capacity. The cleaning and drying costs were calculated assuming the type, moisture content and impurity content. In order to estimate the effective processing capacity technical coefficients were applied. The cost of storage operations were calculated in terms of tones per stored product for a period of 15 days assuming the occupational index, the facility static capacity and the bulk density of the product. The CONAB storage facilities located in Uberaba-MG and Ponta Grossa-PR were implemented in the system for generating the results according to their specific characteristics. In applying the decision support system it was observed that the reception and dispatching costs reduced exponentially as tones of received product of the storage facility increased, in another hand the reception cost increased more intensively than the dispatching costs. For the cleaning and drying costs, the costs behavior was approximately linear and increasing as the initial moisture content increased. The drying cost for Ponta Grossa facility presented an increase in the intensity of the cost rising with the drying final moisture content reduction. The Uberaba storage facility presented approximately the same intensity of drying cost rising with drying reduction of the final moisture content. The storage cost increased exponentially with the reduction of occupational index of the storage facility. According to the results it can be concluded that it is important to consider the type of the product, moisture content and product impurities content, occupational index and storage facility turning as well other operational details on storage facility management are considered important for composing the final costs of reception, cleaning, drying, storing and dispatching operations.