The paper is to identify the ‘Pizza Store Layout Simulation’ scenario statistics and seek out the performance metrics. Also an alternative to the process is developed and discussed on the reasons of substitution. The main feature utilized in the context of studies is learning curve concept. Using it, the performance of ‘Pizza Store Layout Simulation’ as well as alternative to it is analyzed. Study on the topic starts with learning curve concept travels through its utilization on current method performance analysis and alternate one as well. The notion behind learning curve concept is to the individuals “monitor who perform repetitive tasks exhibit an improvement in performance as the task is repeated a number of times.” The theory of learning curve concept relies on mainly three basic postulations stated below:  1. “The time required to perform a task decreases as the task is repeated,  2. The amount of improvement decreases as more units are produced, and  3. The rate of improvement has sufficient consistency to allow its use as a prediction tool.” (The learning curve, n.d). It has seen an augmentation in the procedure of efficiency in such an approach so that quantity of goods manufactured is increased to twice the previous production within a shorter period of time due to a considerable time of execution. The same can be reexamined as the pace in which analysis is taken place by giving priority to consistent reduction in delay. The calculations are started with determination of slope of the curve under analysis. It is computed through the calculation of difference between rate of learning and percentage arithmetic cost. “The constant percentage by which the costs of doubled quantities decrease is called the rate of learning.” (The learning curve, n.d). The measurement is in such a way that 90 percent learning curve is said to exist when delay for the units to become twice is lowered by 10 percentage. The fact to be observed is that quantity of decrease in cost can never be made the same but possibility is only on the turning down of effect of cost by considerable increase in mass. The truth of profit and loss is not fully depicted in cost incurred but on quantities dispersed. Now, to start with the analysis of Pizza Store Layout Simulation the table of process performance is shown below. 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      68                              108                             11.24                3.12               1,065      2       1-2    71                              105                             11.06                3.01               1,120      3       3-4    71                              105                             5.09                 2.61               1,427      4       5-6    72                              104                             4.55                 2.67               1,600      5       7-8    94                              145                             3.14                 2.79               2,051       The simulation is being carried out to achieve profit with minimum average waiting time and average queue length. The optimization of resources and managing them with efficient operational management techniques is very much essential in this analysi