It is known that mathematical programming model is effective to both farm planning and managerial evaluation of the farming-systems. However, it is true that actual application examples are limited because knowledge and the experience of the mathematical programming model building are required for application. Then, the generalized mathematical programming model for farm planning and farming-systems evaluation is formulated. In the model, the machine work restrictions are considered with the management resource restrictions such as land and man-powers. Moreover, farming risk and various management goals are introduced in the model. This model is assumed that the model coefficient with uncertainties of the work risk and the revenue risk, etc. is the one following to the discrete probability distribution. It is formulated as a stochastic programming model based on goal programming model. Based on the model, an automatic generation method of mathematical programming model for Farming-systems is proposed in this paper. In the method, variables and restrictions of the model are automatically added and deleted by the system to complete the application model. In order to verify the validity of this technique, it mounted in the application system FAPS for end users, and the use experiment by the general user was conducted. Several cases where this model is applied were examined carefully. Effectiveness of the model in farm planning and the evaluation of various farming-systems with a different region and crops are clarified.
|Translated title of the contribution||An Automatic Generation Method of Mathematical Programming Model for Farming-systems Analysis and Planning|
|Number of pages||23|
|Publication status||Published - 2003|