Pizza Store Curve Theory
February 10, 2013
Professor John Quesnel
In this paper the approach is to understand the formulation of learning curve theory and objective is to maximize profits and increasing organizational performance for Mario's Pizzeria. The three fundamental assumptions followed by the learning curve theory are total time for completing a task decreases with the increased repetition, improvement percentage decreases with the increased volume of units, and improvement rate gets predictable after some time (Chase, Jacobs & Aquilano, 2006). Application of learning curve theory is strictly related to the process of improving performance of a system by means of repetitive nature over a particular task, operated by an organization or an individual (Ritter & Schooler, 2002).
Mario's Pizzeria Store Layout Simulation
In the Mario's Pizzeria Store Layout scenario starting from the customer(s) entering the Mario's Pizzeria store and flows through the corresponding activities as follows:
The customer arrival ratio between the groups is 60:40. Average customers arriving in Mario's Pizzeria are groups of two and four every seven to nine minutes during peak hours but the uncomfortable close to the upper tolerance of nine minutes. The manual ovens used to prepare the pizza led to long wait times and unsatisfied customer. Balancing the demand for service and the capacity of the system are the difficultly issues at Mario's Pizzeria and long periods of wait time affect Mario Pizzeria's queue lengths, profits, and operating cost. Several changes have to improve efficiency and the first step of improving the efficiency is changing the distribution of tables. Changing the distribution of tables should lead to customers not waiting longer than they should and customers leaving without service. Below is a metric chart for Mario's Pizzeria. Performance Process...
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