definition Economies of Scale vs Learning Curve

First, the rate of increase within the first units is steep, but the rate drops to a steady slope, and then to a horizontal line. Analysis of the learning curve offers businesspersons important insights into the optimization of production systems, cost control, and training strategies. In the diagram on the left, we have a starting situation where two firms compete. Firm B has been in that market for a longer time (or has produced more volume during the same period of time), therefore its average time (or labour cost) per unit is lower than A’s.

On the other hand, if two products have different functionality, then one with a short curve (a short time to learn) and limited functionality may not be as good as one with a long curve (a long time to learn) and greater functionality. As a result, the lower the learning curve percentages, the steeper the slope of graphs. Now that we have the data, we can visualize the learning curve by plotting the time taken to produce each unit. The rate of improvement in labour efficiency tends to be greater (value of the learning-rate coef­ficient tends to be smaller) than the above values if the product is a completely new design. The proportion of labour used in tasks that are not machine-paced is an important deter­minant of the learning rate. However, for an established production process, his­torical cost-output data are available.

Step3: Calculate Time for Multiple Units

If the learning rate is, say, 20% then we can conclude that every time, the quantity of output produced doubles the accumulated average time for all units produced to that point   will be 80% of its former level. E.g. if learning curve economics to produce first 10 units of X, an average of 100 man-hours each are required then to produce first 20 units of X (i.e. inclusive of the first 10 units of X) on an average 80 man-hours each will be required. Companies know how much an employee earns per hour and can derive the cost of producing a single unit of output based on the number of hours needed.

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  • However, for some inputs, there are differences in marginal productivity across units.
  • Suppose the labour requirement is reduced by 10% with each doubling of output.

Productivity is enhanced and these lessons of enhanced productivity lead to greater efficiency which in turn will result in overall reduction in the average cost of production. A comprehensive understanding of the application of learning curve on managerial economics would provide plenty of benefits on strategic level. Demeester and Qi 20 used the learning curve to study the transition between the old products’ eliminating and new products’ introduction. Their results indicated that the optimal switching time is determined by the characteristics of product and process, market factors, and the features of learning curve on this production.

Learning Curve Table

The learning curve typically follows a predictable pattern where the rate of improvement is rapid at first but slows down over time as the task becomes more familiar. Over time, the curve levels off, indicating that further improvements will be marginal as the task becomes routine. Long Run Cost theory suggests that a firm observes fall in its average cost of production in the long run on account of the firm enjoying benefits of ‘Economies of Scale’ and ‘Increasing Returns to Scale’ in the long run. However, the factor of Economies of Scale cannot be the only reason for the fall in the average cost of production as output of a firm increases.

In the visual representation of a learning curve, a steeper slope indicates initial learning translates into higher cost savings, and subsequent learnings result in increasingly slower, more difficult cost savings. Movement from X to Y indicates the impact of ‘Economies of Scale’ on the average cost of production. ‘Economies of Scale’ are leading to the fall in long run average cost of production, whereby, the per unit cost of production is declining as the firm increase its output from ‘Q’ to ‘Q1’. The impact of ‘Economies of Scale’ on the Cost is leading to movement from point X to Y along the same long run average cost curve-‘LAC 1’.On the other hand movement from the point X on ‘LAC 1’ to point Z on ‘LAC 2’ indicates ‘Learning Effect’. The learning curve (not to be confused with experience curve) is a graphical representation of the phenomenon explained by Theodore P. Wright in his “Factors Affecting the Cost of Airplanes”, 1936.

The learning curve works on the principle that as an individual, team, or system repeats a task or process, they become more efficient over time. Initially, the time or cost required to produce the first unit is high due to unfamiliarity with the task. However, as more units are produced or tasks are performed, efficiency increases, resulting in a decrease in the time or cost per unit. This phenomenon occurs due to reduced errors, improved techniques, faster decision-making, and better utilization of resources. A learning curve is a concept that graphically depicts the relationship between cost and output over a defined period of time, normally to represent the repetitive task of an employee or worker. The learning curve was first described by psychologist Hermann Ebbinghaus in 1885 and is used as a way to measure production efficiency and to forecast costs.

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For example, a 20% learning curve means that every time production doubles, the time per unit decreases by 20%. One numerical measure of the impact of learning on average cost is called the doubling rate of reduction. The doubling rate is the reduction in average cost that occurs each time cumulativeproduction doubles. If the average cost declines by 15% each time cumulative production doubles, that would be its doubling rate. A learning curve with a doubling rate of 15% may be called an 85% learning curve to indicate the magnitude of the average cost compared to when cumulative production was only half as large. The learning curve is another key concept that is applied to measure the aspects of experience and efficiency gains in time.

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A well-placed employee who is set up for success should decrease the company’s costs per unit of output over time. Businesses can use the learning curve to inform production planning, cost forecasting, and logistics schedules. However, the graph above fails to demonstrate how the process is becoming more efficient.

For the performance of one person in a series of trials the curve can be erratic, with proficiency increasing, decreasing or leveling out in a plateau.

  • In this case, the least-squares technique of regression analysis can be applied to estimate the parameters.
  • Thus, by taking into account the learning effect over, a budget period, it is possible to forecast company profits.
  • At the other extreme is the UNIX terminal editor vi or Vim, which is difficult to learn, but offers a wide array of features after the user has learned how to use it.
  • If price equals the average cost of A, firm B will have profits while firm A will just survive.
  • If a firm managed to sell 1600 billable hours in 1 year, but only 1500 billable hours in another year, the earlier year indicated higher productivity.

Konstantaras, Skouri, and Jaber 21 applied the learning curve on demand forecasting and the economic order quantity. They found that the buyers obey to a learning curve, and this result is useful for decision-making on inventory management. A learning curve is a mathematical concept that graphically depicts how a process is improved over time due to learning and increased proficiency. The learning curve theory is that tasks will require less time and resources the more they are performed because of proficiencies gained as the process is learned. It must be noted that the learning curve relation be accurately represented only when output scale, technology and input prices are held constant.

The learning curve is often made use of in developing new products and projecting the profitability of such products in the face of rapid technological change. Various other costs such as indirect labour, power, etc. depend on the time re­quired to complete a job. A common form of learning curve is based on reduction of labour hours per extra unit of output by a constant fraction each time the total output is doubled. For this, one has to first determine the values of the log a and b parameters in equation (2). If we do not have any historical cost output data for the production process, we should make subjec­tive estimates of these parameters based on prior ex­perience with similar type of production operations. The learning effect can lead to a learning curve – which represents how average costs of production change over time.

But, with an expansion in this scale of produc­tion, the learning effect will gradually become more and more strong. (a) To determine the relationship between the cumulative number of units completed and cumula­tive average direct labour cost for product L. Coal powered energy is an established industry that has been around for many years, so its learning curve will have been stronger in the industry’s birth.

Businesses can use the learning curve to conduct production planning, cost forecasting and logistic schedules. In many of the manufacturing processes the average costs decline substantially as the cumulative total output increases. This is the outcome of both  labor  and management becoming more knowledgeable about production techniques with growing experience. “There is an element of learning involved through experience.” Practice makes a man perfect.