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Applying the Learning Curve
The Mario’s Pizzeria Simulation is a great example of how the learning curve affects individuals and organizations. According to the simulation, Mario is giving you, his only grandchild, two months to gain Mario’s confidence in running the 61 year old Palm Springs pizzeria. Mario will hand over the restaurant at the end of the two months if you are able to accomplish this task. The purpose of the simulation is to identify bottlenecks in the queue and select a solution that improves profit and efficiency. With changes made during the simulation, the learning curve will also apply. In this paper, the learning curve will be defined, discuss the alternative approach, and discus total quality management (TQM) approach to continuously improve the processes set forth in the Mario’s Pizzeria Simulation.
The learning curve is “a line displaying the relationship between unit production time and the cumulative number of units produced” (Chase, Jacobs, & Aquilano,
2006, p.134). This means there is a decrease in the time to produce a unit as the number of units produced increases. It 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, and 3. the reduction in time will follow a predictable pattern” (Chase, Jacobs, & Aquilano, 2006, p.134). The efficiency of the service provided after a change is made will improve as the service is repeated. Mario’s Pizzeria’s metrics to gauge the efficiency of the restaurant is the percent utilization of the two-person tables, four-person tables, wait staff, kitchen staff, ovens; average wait time; average queue length; number of two and four person group who balked and were served; and lost sales. These metrics shown in Table 1 shows how the changes made in the simulation improved customer satisfaction.

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