1. Discrete-Event System Simulation Project Simulation of Complex Manufacturing System Cheryl Yale

2. Problem Formulation Data will be obtained on a limited basis from the experimental manufacturing of the first three adapters. The objective is to model the known process and verify the simulation with experimental data. Given the verified known process, individual changes can be made and the results tallied. This will show the options available to ease the manufacturing process.

3. Model Conceptualization Assumptions: –.The model will be representative of the actual manufacturing facility. –Each change in machine will be modeled as one process in ProModel. –.The machines are dedicated to the adapter line (No downtime has been considered). –.If an operation takes place outside this manufacturing floor it will not be in the model (Vendor operations are not modeled).

4. Data Collection

5. Model Translation ProModel V 4.20 Adapter divided into four entities All distributions normally distributed 3 Adapters Every 500 Hours

6. Verification Basic Analysis –Adapter Manufacturing time is 20.03 with a standard deviation of.05

7. Validation Changed –Numbers of Replications –Warm-up Periods –Run Length Final Simulation –15 replications –500 Hours of Warm-up –Run Length of 100,000 Hours

8. Production Runs and Analysis The production run uses two matsuura machines. The addition of the queue on the deburr booth. Time in the system is 22.05 hours with a standard deviation of.057 hours.

9. Conclusions The adapter-manufacturing model has been built, and validated. It is now ready as a baseline to begin modeling different processes.