Learning Curve Concept

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Introduction The notion of the learning curve concept is process improvement. The process improvement transpires as a consequence of the recurring nature of the tasks. This improvement happens on an individual and organizational level. “Learning curve theory is based on three assumptions: 1. The amount of time required to complete a given task or unit of a product will be less each time the task is undertaken. 2. The unit time will decrease at a decreasing rate. 3. The reduction in time will follow a predictable pattern” (Chase, Jacobs, Aquilano, 2006). The process performance data described in the Pizza Store Layout Simulation is as follows: Weeks No of Customers for Group of 2 No of Customers for Group of 4 Avg. Wait Time(Min) Avg. Queue Length Profit ($) 3-4 71 105 4.96 2.50 1,477 5-6 67 109 4.32 2.26 1,695 7-8 96 143 3.32 2.72 2,040 There is positive progress in the typical wait time for customers from weeks 3- 4 through weeks 7 – 8. They have dropped from 11.67 minutes in weeks 1 – 2 down to 3.32 minutes in weeks 7 – 8 after employing optimization strategies, more modern technology and eliminating the blockage in the process. The estimated slope of the learning curve for week eight can be calculated by (11.67-3.32)/(8-0) = 1.04375, so the typical waiting time is declining by 1.04375/11.67 = 0.089439, which is approximately 0.09. One could say that the rate of learning is roughly 9% which means that the learning curve is about 91%. Comparable analysis can be applied to the profit acquired by the developments in the process. There is a substantial improvement of profit when comparing the first week profit of $1,054 to the eighth week profit of $2,040. The profits increase from $1,054 to $2,040 at the end of the eighth week this is almost doubled. The estimated slope of the learning curve for week eight can be

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