Multi Item Fuzzy Inventory Model with Storage Space, Production Cost and Lot Size Constraints -- A Karush Kuhn Tucker Conditions Approach

In this paper a multi-item inventory model with storage space , number of orders and production cost as constraints has been formulated. A demand dependent unit cost is assumed to minimize the total annual cost and solved using Karush-Kuhn-Tucker condition. In most of the real world situations, the cost parameters, the objective functions and constraints of the decision makers are imprecise in nature. Here the cost parameter is imposed in fuzzy environment .The model is illustrated with numerical example for single item

Budget Deficits and Other Macroeconomic Variables in India

This paper tries to study the interaction of budget deficit of India with other macroeconomic variables such as Nominal effective exchange rate, GDP, Consumer Price Index and money supply (M3) giving special emphasis on the budget deficit-exchange rate relationship using Cointegration approach and Variance Error Correction Models (VECM) for the period 1970-2002. The results reveal that the variables under study are cointegrated and there is a bi-directional causality between budget deficit and nominal effective exchange rates. However, we have not observed any significant relationship between budget deficit and GDP, Money supply & consumer price index. It is also observed that the GDP Granger-causes budget deficit where as budget deficit does not.