Data/hora: 25/05/2024 17:41:25

Biblioteca(s): | Embrapa Amazônia Oriental; Embrapa Uva e Vinho.
Data corrente: | 16/08/1993
Data da última atualização: | 15/03/2006
Autoria: | PINHEIRO, S. L. G.
Título: | Management of agricultural systems using mathematical programming case study in Santa Catarina State, Brazil.
Ano de publicação: | 1987
Fonte/Imprenta: | [S.l.: s.n.], 1987.
Páginas: | 194p.
Idioma: | Inglês
Notas: | M.Sc. Thesis.
Conteúdo: | The agriculture of Santa Catarina State, South Brazil, is characterised by the predomunance of small and diversified farms. The majority of the food for internal consumption (e.g. maize, black beans, rice milk, cassava, poultry and pork) are produced by small farms, which have a decisive role in the State's agricultural production. O ver recent yares, Santa Catarina has been experiencing a fall in rural population, and the State's rural income per capita/year has decreasing in relativa terms, compared to the urban areas. The factors threaten the future of the small farms, and are accentuated by the limited opportunities for credit, agricultural insurance, land ownership as well as restricted cultural, health and educational services, which diminissh the attractions for rural life. Traditionally, the small farmers in planning year-toyear adjustments use only their intuition, supported by poor informal arithmetic or budget calculations. New technologies (coming from reserach, for exaple) are incorporated into specific aspects of farm, without considering the relationships to other factors within the whole farming system. Even the recorded data obout the performance of exixting farm plans, whe they exist, is disorganised and inaccurate. Therefore, the plan which results from this process will seldom be the best available. This results in inefficient use of the farm's resources. However, it follows that it is important for Santa Catarina Society tat the small farms maintain and increase the production of food internal consumption, in the cheapest possible way. To do it is necessary to have sound management, which makes efficient use of the farm's resources, guarantees better returns to the farmers and reasonable prices to the consumers. This research reviewed farm management analytical techniques using the system's approach, and a computer-based mathematical programming model was developed. The intention was to create a model to assist decisions about the most efficient allocation of the farm resources in order to maximise farmers' o bjectives in the agricultural context of Santa Catarina. The study takes the following form: (1) A description of the agricultural aspects of Santa Catarina. (2) A review of the relevant literature obout farm management analytical technique and systems approach. (3) Development of a mathematical programming model incorporating the information gaind in the above studies. (4) Experimentation with the model in the management of the case study farming system. (5) Discussion of the results. A multi-period linear programming mathematical model was developed incorporating a cash flow format. The experimentation placed emphasis on four aspects considered the most important for this study: (A) gross margins variations; (B and c) changes in cost and availability of capital and labour; and (D) risk programamming, which was formally incorporated into the model, including an analysis of the trade-off between risk and profit. The modelling exercies and results indicated that the multi-period L.P. model developed can useful as a decision-support tool in the management of farming systems. The methedology has proven to be reabily applied and appears to have the potential for widespread use in optimisng management systems in the agricultural context of Santa Catarina.
Palavras-Chave: | Brasil; Estudo de caso; Fator de risco; Metodo MOTAD; Optimization methods; Programa matemático; Programação matemática; Santa Catarina; Sistema de exploração agrícola.
Thesagro: | Administração; Administração Agrícola; Agricultura; Estatística; Planejamento; Programação Linear.
Thesaurus Nal: | agriculture; farm management; farming systems; linear programming; risk.
Categoria do assunto: | --
Registro original: | Embrapa Amazônia Oriental (CPATU)

Exemplares:

CPATU - (31463-1) - ADD - TS - -- - 1987/027 - PIN - 1987/027 - DIS
CNPUV - (2776-1) - ADD - TS - PP - TS00062 -  - TS00062 - DIS