Objectives Model a Subway sandwich shop in Simio Perform basic verification analysis o Define experiment “Responses” o Learn how to interpret SMORE plots.

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Presentation transcript:

Objectives Model a Subway sandwich shop in Simio Perform basic verification analysis o Define experiment “Responses” o Learn how to interpret SMORE plots o Modify the initial model to compare alternative operating policies

System Description and Data Arrival rate: 32 customers/hour Service times are all triangularly distributed with the following parameters (Minutes): Bread & Meat: (1, 1.5, 2) Oven: (0.5, 1, 1.5) Veggies: (1, 1.5, 2) Cashier: (0.5, 1, 1.5) Drink: (0.5, 1, 1.5) 70% of the customers want their sandwich toasted and 30% get cold subs The current operating policy requires that FIFO (First In First Out) be maintained throughout the system, i.e., cold sandwiches should also wait in the queue for the oven (if there is one). Bread & Meat Oven Veggies Cashier Drink Exit Enter

Performance Measures Evaluate the performance of the system during lunch rush Performance measures Server utilizations Average Time In System Expected Number in System Bread & Meat Oven Veggies Cashier Drink Exit Enter

SMORE Plot B. L. Nelson, “The MORE Plot: Displaying Measures of Risk & Error from Simulation Output,” in Proceedings of the 2008 Winter Simulation Conference. 2008, pp. 413–416.