Optimization Techniques

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Presentation transcript:

Starting with the name of ALLAH, the most beneficent and the most merciful

Optimization Techniques Institute of Business and Management Sciences Optimization Techniques By: Maria Saeed Khattak Shehla afridi Uzma izhar Huma

Optimization: What consumer chooses

Optimization: What the consumer chooses Goal is to understand how a consumer make choices. We have the two pieces necessary for the analysis: 1: the consumer budget constraint. (how much he can afford to spend) 2: the consumer preferences (what he want to spend it on

Optimizaton Maximization and minimization of some functions subject to cost and output (Q) is optimization. Best allocation of resources as resources are limited, consumer will purchase optimal combination of goods.

Optimization Techniques and New Management Tools The first step in presenting optimisation techniques is to examine ways to express economic relationships. Economic relationship can be expressed in the form of equation, tables, or graphs. When the relationship is simple, a table and/ or graph may be sufficient. However, if the relationship is complex, expressing the relationship in equational form may be necessary.

Optimization Techniques and New Management Tools Expressing an economic relationship in equational form is also useful because it allows us to use the powerful techniques of differential calculus in determining the optimal solution of the problem. More importantly, in many cases calculus can be used to solve such problems more easily and with greater insight into the economic principles underlying the solution. This is the most efficient way for the firm or other organization to achieve its objectives or reach its goal.

Example 1 Suppose that the relationship between the total revenue (TR) of a firm and the quantity (Q) of the good and services that firm sells over a given period of time, say, one year, is given by TR= 100Q-10Q2 (Recall: TR= The price per unit of commodity times the quantity sold; TR=f(Q), total revenue is a function of units sold; or TR= P x Q).

Example 1 By substituting into equation 1 various hypothetical values for the quantity sold, we generate the total revenue schedule of the firm, shown in Table 1. Plotting the TR schedule of table 1, we get the TR curve as in graph 1. In this graph, note that the TR curve rises up to Q=5 and declines thereafter.

Example 1 TR = 100Q - 10Q2 Equation1: Table1: Graph1:

Example 2 Suppose that we have a specific relationship between units sold and total revenue is precisely stated by the function: TR= $ 1.50 x Q. The relevant data are given in Table 2 and price is constant at $ 1.50 regardless of the quantity sold. This framework can be illustrated in graph 2.

Example 2   Unit Sold TR Price 1 1.5 2 3   4.5 4 6 5 7.5 9 Graph2: Table2:

Total, average and marginal cost

Total, Average, and Marginal Cost The relationship between total, average, and marginal concepts and measures is crucial in optimisation analysis. The definitions of totals and averages are too well known to warrant restating, but it is perhaps appropriate to define the term marginal. A marginal relationship is defined as the change in the dependent variable of a function associated with a unitary change in one of the independent variables.

Total, Average, and Marginal Cost (Recall: Total cost: total fixed cost plus total variable costs; Marginal cost: the change in total costs or in total variable costs per unit change in output). Table3: AC = TC/Q MC = TC/Q

Total, Average, and Marginal Cost Table3: The first two columns of Table 3 present a hypothetical total cost schedule of a firm, from which the average and marginal cost schedules are derived in columns 3 and 4 of the same table. Note that the total cost (TC) of the firm is $ 20 when output (Q) is zero and rises as output increases (see graph 3 to for the graphical presentation of TC). Average cost (AC) equals total cost divided by output. That is AC=TC/Q. Thus, at Q=1, AC=TC/1= $140/1= $140. At Q=2, AC=TC/Q =160/2= £80 and so on. Note that AC first falls and then rises.

Total, Average, and Marginal Cost Table3: Marginal cost (MC), on the other hand, equals the change in total cost per unit change in output. That is, MC= TC/Q where the delta () refers to “a change”. Since output increases by 1unit at a time in column 1 of table 3, the MC is obtained by subtracting successive values of TC shown in the second column of the same table. For instance, TC increases from $ 20 to $ 140 when the firm produces the first unit of output. Thus MC= $ 120 and so forth. Note that as for the case of the AC and MC also falls first and then rises (see graph 4 for the graphical presentation of both AC and MC). Also, note that at Q=3.5 MC=AC; this is the lowest AC point. At Q=2; that is the point of inflection whereas the point shows MC at the lowest point.

Total, Average, and Marginal Cost Graph3: Graph4: MC=AC

Total,average and marginal revenue:

Average Revenue: Total revenue per unit of output. When all output is sold at the same price, average revenue will be the same as price. AV=TR/units of out put(Q) average revenue curve (AR),is also the market demand curve

Marginal Revenue: Marginal revenue (R') is the additional revenue that will be generated by increasing product sales by 1 unit. It indicates the extra revenue received for selling each extra unit

Total, Average, and Marginal revenue In the total revenue function, marginal revenue is the change in total revenue associated with a one-unit change in units sold. Generally, we analyse an objective function by changing the various independent variables to see what effect these changes have on the dependent variables. In other words, we examine the marginal effect of changes in the independent variable. The purpose of this analysis is to determine that set of values for the independent or decision variables which optimises the decision maker’s objective function.

Total, Average, and Marginal revenue Marginal revenue can be positive, zero or negative When the average revenue (demand) curve is elastic, marginal revenue is positive and total revenue is increasing. When the average revenue (demand) curve is inelastic, marginal revenue is negative and total revenue is decreasing. When average revenue (demand) curve is unit elastic, marginal revenue is zero and total revenue is not changing.

Profit Maximization Table 4 indicates the relationship between TR, TC and Profit. In the top panel of graph 5, the TR curve and the TC curve are taken from the previous graphs. Total Profit () is the difference between total revenue and total cost. That is = TR-TC. The top panel of Table 4 and graph 5 shows that at Q=0, TR=0 but TC=$20. Therefore, = 0-$20= -$20. This means that the firm incurs a loss of $20 at zero output. At Q=1, TR=$90 and TC=$ 140. Therefore, = $90-$140= -$50. This is the largest loss. At Q=2, TR=TC=160. Therefore, = 0 and this means that firm breaks even. Between Q=2 and Q=4, TR exceeds TC and the firm earns a profit. The greatest profit is at Q=3 and equals $30.

Profit Maximization Table 4 indicates the relationship between TR, TC and Profit. In the top panel of graph 5, the TR curve and the TC curve are taken from the previous graphs. Total Profit () is the difference between total revenue and total cost. That is = TR-TC. The top panel of Table 4 and graph 5 shows that at Q=0, TR=0 but TC=$20. Therefore, = 0-$20= -$20. This means that the firm incurs a loss of $20 at zero output. At Q=1, TR=$90 and TC=$ 140. Therefore, = $90-$140= -$50. This is the largest loss. At Q=2, TR=TC=160. Therefore, = 0 and this means that firm breaks even. Between Q=2 and Q=4, TR exceeds TC and the firm earns a profit. The greatest profit is at Q=3 and equals $30. Table 4:

Profit Maximization Graph5: vertical difference between TR and TC is profit

Profit maximization: Two conditions for profit maximization: 1: MC must be equal to MR (this is a necessary condition) 2: slope of MC should be greater than MR (this is sufficient condition)

The End Thanks