Subject: Industrial Systems and Simulation.

Solve this in Arena software. And provide screen shots.

Q. Design a model in arena for a restaurant that entertains customers in the following manner, Customers arrive with an inter arrival time of exponential distribution of 1.62 minutes. The arriving customers are of two types. First, there are customers who have already decided their order when they join the queue at the counter. Second, there are customers who decide their order when they arrive at the counter. For the customers who have already decided their order in the queue or before joining the queue, their service (processing) time follows a TRIA distribution of (0.8.13.1.D. The customers who decide their order when they arrive at the servicing counter have a TRIA distribution of (1.5.202.2d) for the service (processing) time. The percentages are 70% and 30%. Which means, 70% have decided their order already and 30% decide the order at the counter. Finally, there is an additional process of preparing the orders in the kitchen which follows a time of UNIF distribution (0.5, 1). Q. Design a model in arena for a restaurant that entertains customers in the following manner, Customers arrive with an inter arrival time of exponential distribution of 1.62 minutes. The arriving customers are of two types. First, there are customers who have already decided their order when they join the queue at the counter. Second, there are customers who decide their order when they arrive at the counter. For the customers who have already decided their order in the queue or before joining the queue, their service (processing) time follows a TRIA distribution of (0.8.13.1.D. The customers who decide their order when they arrive at the servicing counter have a TRIA distribution of (1.5.202.2d) for the service (processing) time. The percentages are 70% and 30%. Which means, 70% have decided their order already and 30% decide the order at the counter. Finally, there is an additional process of preparing the orders in the kitchen which follows a time of UNIF distribution (0.5, 1)