Introduction The basic premise behind the learning curve concept is the improvement in performance of process due to repetitive nature of tasks operated by individual or organization again and again. This theory is based on three fundamental assumptions which is as follows: 1. The time required for completion of task decreases as it is repeated number of times 2. The percentage of improvement decreases with corresponding increase in volume of units, 3. The rate of improvement is predictable over the certain time There has been increment in the process of performance in such a way that units of productions gets doubled in reduced span of time after the certain period of implementation. This is also defined as the rate of learning where constant percentage of reduction in time is taken care of. The slope of the curve is calculated by the difference between the rate of learning and numerical value of one hundred. If the timing between the doubling of units are decreased by 10 percent, then it will be connotated as 90 percent learning curve. Learning Curve Concepts to test the alternative to the process The table for process performance data for the metric identified in the Pizza Store Layout Simulation is as follows:
Table 1 S. No. Weeks No of Customers for Group of 2 No of Customers for Group of 4 Avg. Wait Time(Min) Avg. Queue Length Profit ($) 1 0 70 106 11.67 3.21 1,054 2 1-2 71 105 6.46 2.56 1,120 3 3-4 71 105 5.53 2.67 1,380 4 5-6 100 140 4.93 2.88 1,985 5 7-8 92 147 3.45 2.68 2,081 Learning curve can be developed by many curve fitting methods like arithmetic tables, logarithmic scale or other methods.
The plot for each week denoted by S. No. on X-axis and Avg Wait Time (Min) on Y-axis from above Table. The results of Pizza simulation process is shown above in tabular format. There is definite improvement in average waiting time for customer from first week till the eigth week of pizza simulation process of Mario’s Pizza. It has decerased...