simin mohseni

Of major constraints for crop production in arid and semi-arid regions of Iran are the lack of water resources and drought, and due to uncontrolled groundwater abstraction, the quality of agricultural water is declining gradually. Water pricing is one of the tools for water resources planning and water demand management. In this regard, the present study aims to determine the economic value of water in agriculture with respect to its different qualities in conditions of uncertainty in Rafsanjan and Anar provinces. Using interval mathematical programming, the shadow price range for different qualities of water was obtained. The price elasticity of demand was estimated in order to evaluate the effectiveness of pricing, the standard water demand function and to use it more efficiently. The findings show that the shadow price of water varies within different groups, and fresh water, moderately saline water and highly saline water were of the highest economic value, respectively. Comparing the efficiency of the plan in the current and equilibrium modes reveals that although water consumption has decreased by 50%, but the efficiency of activity has decreased by only 13.44%, and this implies that the amount of water consumption can be reduced in the virtue of redistributing water in pistachio orchards with minimal reduction in activity efficiency. This is feasible via eliminating low yield and profit, yet preserving higher yield pistachio orchards, may lead to reducing water consumption and extraction, and it also ensures high economic benefits for farmers.

Introduction:

 Banks are the main suppliers of financial resources to the real sectors of the economy (agriculture, industry and services) and in addition to their main function, the main motivation of banks is to equip and allocate resources and provide diverse services to customers, generating income and profit as other economic institutions. The purpose of this study is to present a mathematical model based on mathematical planning models to find the best combination of facilities and deposits of Keshavarzi Bank that will bring the most profit for the bank.

In this paper, the model is estimated by using of 2 programming

linear and fuzzy linear. To collect data, we used the available information in Agricultural (keshavarzi) bank of Kerman province.

Due to the results, linear programming is more appropriate. So that the profit from payment of facilities using linear planning has increased by two percent (45462 million Rials) compared to fuzzy planning and by 11 percent (288790 million Rials) compared to the current allocation of the bank.

The results suggest that using linear programming could help the managers for allocating resources so that higher yields would be achieved. Linear programming methods are top priority compared to other method.

Banks are financial institutions that must create resources and expenditures through their activities that can continue to increase the efficiency and effectiveness of their financial resources and expenditures. The main motivation of banks in the optimal allocation of resources and varietal services providing to customers like other economic institutions is income creating and profit earning. The aim of this study is to present a mathematical model according to mathematical programming models also to weave the Keshavarzi bank and in the year of 2016 which is the best year of combination of Resources (deposits) and Consumption (facilities) that while customer satisfaction, the most profitable for banks are to be followed. In this research, the sample size is equal to the statistical population and including all branches of Agricultural Bank of Kerman province. In this paper, the model is estimated by using of goal programming method.To collect data, we used the available information in Keshavarzi bank of Kerman province and some Win QSB software was used for analyzing this data. The results of the research showed that the profit from the goal programming method is 10.88% (288790 million Rials) more than the profit allocation in branches of agricultural bank of Kerman province. Therefore, it is recommended to use the results of this method to maximize bank profits.

The aim of this study is to present a mathematical model according to mathematical programming models also to weave the agriculture bank and in the year of 2016 which is the best year of combination of loans and deposits that while customer satisfaction, the most profitable for banks are to be followed. In this research, the sample size is equal to the statistical population and including all branches of Agricultural Bank of Kerman province. Also the model is estimated by using of 3 programming linear, goal and fuzzy. Some soft wares like Excel and Win QSB were used for analyzing this data. Due to the results, linear and goal programming are more allocation and the proceeds of the grant increased by using linear and goal programming than fuzzy programming and the bank current allocation. The results suggest that using linear and goal programming can help the managers for allocating resources so that higher yields will be achieved.