## INEN 415 Simulation Lab 6 Fall 2015 Due Date: November 24th, 2015 (Submit via Blackboard) Description A small pizza delivery outlet in a busy metro area opens only for the lunch and dinner hours; for lunch from 11AM to 4PM and for dinner from 6PM to 11PM. Orders for single pizzas (no other orders are accepted) arrive with an inter-arrival time that is exponentially distributed with a mean of 3.25 minutes. (Need to create a rate table, see lab 5) The inside operations are handled by an OrderTaker, two IronChef, and an OvenMeister named Cruz. The outlet has one oven with a capacity of five pizzas. Two drivers driving Mustangs handle the deliveries. Timmy takes orders (for order-taking assume a triangular distribution with parameters 1, 2, 3 minutes). The IronChefs make the pizza including adding of toppings (assume a triangular distribution with parameters 2, 2.5, 3 minutes). When the pizza is made (but not cooked), the IronChefs places it in a Load Area in front of the oven. Cruz picks up the pizza from the Load Area and places the pizza in the oven (assume a triangular distribution with parameters 10, 15, 20 seconds) (Cruz is a worker) The cook time in the oven requires 15 minutes (fixed), and does not require any supervision; a buzzer alerts Cruz whenever any pizza has completed its oven time. When the pizza has cooked in the oven, Cruz takes the pizzas out of the oven (assume a triangular distribution with parameters 10, 15, 20 seconds). He carries the pizza to the Box Area. Where Cruz boxes the pizza (assume a triangular distribution with parameters 30, 45, 60 seconds) and leaves it in an area for the delivery people, who can transport a maximum of 5 pizzas (Triangular 10,20,30). Note: Cruz moves between Load Area, Oven, and Box Area. Assume travel times are negligible. Drivers take the pizza to the sink. Run model for 16 hours to ensure all pizzas are made. Simulate operations for one day using two scenarios: 1. The data as given above. 2. Inter-arrival rate decreases to 3 minutes. Deliverable(s) I. Objectives a. Clearly define the objective(s) of the project. II. System Description / Modeling Approach a. Describe the model (personnel, processes, etc.) III. Input Data Requirements a. Describe the data collected to be used in the model. IV. Simulation Model a. Simulation Model (Screen shot of SIMIO model) V. Results / Conclusions Compare the following statististics for the two scenarios in a table. 1. Number of pizzas delivered. 2. Utilization of the all three personnel types. 3. Time in System for an order. VI. Discussion a. Based on the data provided, will the system have issues? b. As the IE professional, suggest possible changes to the system and clearly explain why such changes may improve the process. Tutorials/Simbits 1. Workers using work schedule (Simbit) 2. Single Vehicle Usage (Simbit) 3. Check on YouTube, they have many videos that can help!

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