Application of linear programming in economics
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The important word in previous sentence is depict. And 100 units of Z can be produced by doubling the inputs A and Y to 6 units of X and 2 units of Y. When you click on the Data tab, on the right you will see Model. Thus the technological constraints take the form of inequalities. The cost of producing Wheat and Barley per hectare is also given to us.

The company will try to produce as many units of A and B to maximize the profit. She spent nine years working in laboratory and clinical research. One of the cause for underutilizing the demand was the poor decision making approach used by the company. Agricultural research institutes are using this technique for crop rotation mix of cash crops, food crops and fertilizer mix. With the same reasoning we can have the constraints in terms of inequalities for inputs В and C. These methods can also be used to anticipate times of increased demand for available workers.

Price system allocates the resources. They usually limit the value of the decision variables. In the columns of the slack activities we insert unity for the corresponding factor of production, and zero for all other factors. The neo-classical theory of the firm analyses the problem of decision-making with one or two variables at a time. How a new entrant to the labor force decides whether to work in a private firm or a government office. But the product of X and Y amounts of the two products cannot be greater than 48 units.

A theoretical perspective undertaken for the present study is review of various different applications of linear programming. This method is used to solve a two variable linear program. This method derives more accurate result than Northwest corner method. At the same time, costs must remain sustainable for profits. We will concentrate here on the dual problem of our earlier example of profit maximisation. Suppose the firm produces two products, X and Y.

This is the area of feasible production within which X and Y can be produced, but there is no possibility of producing any combination at any point outside this area. It is used to calculate the feasible solution for transporting commodities from one place to another. The numbers on the lines indicate the distance between the cities. It is used to determine the optimal product- mix of the firm to maximize its revenue. It was established that the decisions are undertaken by experienced people without use of quantitative people and quantitative method. Similarly, the production of one unit of y requires 1 hour of labour, 1 machine hour and 5 square feet of land.

Maximization of Output: Let us suppose that a firm plans to produce a commodity Z, using X and Y inputs. These are known as structural constraints. The firm, in pursuing the maximisation of its objective function, has several constraints. However, considering the current industry development strategy of the country and the attention given by the government for industry, the company was expecting more demand for its products in the near future. Once we have plotted all the inequalities on a graph the intersecting region gives us a feasible region. Constraints may include dietary guidelines, nutrient guidance, cultural acceptability or some combination thereof.

Particularly, our present study brings out clearly the necessity of using quantitative techniques for utilization in Ethiopian company; a factory situated within Adama about 90 kms. But with a simple assumption, we have reduced the complexity of the problem drastically and are creating a solution which should work in most scenarios. If process С requires 2 units of input Y to every unit of input X, it will produce 50 units of commodity Z If the inputs of X and Y are doubled to 4 units of Y and 2 units of X, output is also doubled to 100 units of Z. In linear programming, we formulate our real life problem into a mathematical model. Any point other than S lies outside the zone of feasible production. For Brazilian telecommunication company, see Telefônica Brasil.

In our example only two boundary lines define the region of feasible solutions. In cell B10, we want the total cost for the diet. And it also gives us the optimal solution. Personnel Assignments Human resources planners can use linear programming methods to determine when to hire more workers, which skill sets the company needs and how much they can offer in compensation. Clearly there will be as many slack variables as there are factors of production.