## 4 Reference Scenario
### Results of Simulation: Performance Analysis
\begin{table}
\begin{tabular}{l c c c c c c} \hline \hline
**Name** & **Total In** & **Total Out** & **Avg Size** & **Avg Time** & **Min Time** & **Max Time** \\ \hline Assemblay\_Queue & 34 & 134 & 0.000 & 0.000 & 0.000 & 0.000 \\ \hline Base\_Xtig & 138 & 138 & 0.312 & 1.035.764 & 0.000 & 2.261.599 \\ \hline Cabinet\_Final & 134 & 134 & 0.000 & 0.143 & 0.000 & 5.885 \\ \hline Leveling & 134 & 134 & 0.000 & 0.053 & 0.000 & 2.611 \\ \hline Painting\_D & 549 & 449 & 99.359 & 82.797.515 & 0.000 & 454.048.464 \\ \hline Painting\_In & 134 & 134 & 0.000 & 0.022 & 0.000 & 1.168 \\ \hline Painting\_Out & 134 & 134 & 0.000 & 1.000 & 1.000 & 1.000 \\ \hline Queue\_Insertion & 134 & 134 & 0.000 & 0.000 & 0.000 & 0.000 \\ \hline Queue\_Tf & 134 & 134 & 0.000 & 0.000 & 0.000 & 0.000 \\ \hline Queue\_Wt & 134 & 134 & 0.000 & 0.000 & 0.000 & 0.000 \\ \hline Racker & 651 & 601 & 49.478 & 34.770.525 & 0.000 & 452.893.952 \\ \hline Racker01 & 600 & 550 & 49.542 & 37.774.961 & 0.000 & 453.277.756 \\ \hline Racker\_Cover & 120 & 90 & 29.931 & 114.108.955 & 0.000 & 454.371.994 \\ \hline Racker\_Cover01 & 165 & 135 & 30.000 & 83.179.062 & 0.000 & 453.853.964 \\ \hline Racker\_Front & 111 & 90 & 20.976 & 86.452.493 & 0.000 & 454.294.951 \\ \hline Racker\_Front01 & 165 & 135 & 30.000 & 83.180.000 & 0.000 & 453.853.964 \\ \hline Racker\_Left & 105 & 91 & 14.024 & 61.103.115 & 0.000 & 453.889.478 \\ \hline Racker\_Left01 & 165 & 135 & 30.000 & 83.180.000 & 0.000 & 453.853.964 \\ \hline Racker\_Right & 112 & 91 & 21.020 & 85.861.002 & 0.000 & 454.098.632 \\ \hline Racker\_Right01 & 165 & 135 & 30.000 & 83.180.000 & 0.000 & 453.853.964 \\ \hline Repair\_Cabinet & 17 & 17 & 0.007 & 180.000 & 180.00 & 180.000 \\ \hline Repair\_D & 18 & 18 & 0.007 & 180.602 & 180.00 & 190.828 \\ \hline Repair\_S & 11 & 11 & 0.004 & 180.000 & 180.00 & 180.000 \\ \hline Roof\_Accessories & 50 & 0 & 49.971 & 457.224.350 & 0.000 & 457.479.370 \\ \hline Roof\_Xinsertion & 104 & 104 & 0.010 & 45.437 & 0.000 & 116.460 \\ \hline Roof\_Xtig & 134 & 134 & 0.259 & 885.210 & 0.000 & 2.231.831 \\ \hline Storage\_Structure & 134 & 134 & 0.126 & 428.535 & 0.000 & 540.141 \\ \hline Structure\_Xassembly & 134 & 134 & 0.137 & 468.667 & 0.000 & 962.199 \\ \hline Warehouse\_Base & 108 & 108 & 0.006 & 25.042 & 0.000 & 119.712 \\ \hline Warehouse\_Conseole & 184 & 134 & 49.99 & 124.310.91 & 121.198 & 454.590.00 \\ \hline Warehouse\_Cutting & 128 & 53 & 74.866 & 267.581.01 & 0.000 & 457.018.00 \\ \hline Warehouse\_Extraction & 212 & 212 & 0.035 & 76.160 & 0.000 & 135.026 \\ \hline Warehouse\_Profile & 0 & 0.000 & 0.000 & 0.000 & 0.000 \\ \hline Warehouse\_Roof & 104 & 104 & 0.007 & 30.619 & 0.000 & 82.941 \\ \hline \hline \end{tabular}
\end{table} 
Table 9: Statistics of buffers. Therefore, studying the simulation results for one month of work activity, the following is observed:  
* Need for significant setup time to reach maximum capacity: The daily production of 30 lockers, compared to the monthly production of 550 lockers, indicates a significant initial ramp-up period. Comparing the outputs obtained at different time intervals, the production process needs significant setup time to reach maximum capacity. * Inadequacy of storage systems compared to production capacity: Buffer saturation, as evidenced by parameters such as the difference between inputs-outputs and a maximum processing time, clearly shows that storage systems are undersized compared to production outputs. * Inefficiencies in the production process and bottle necks: The idle and blocked state of the machines shows the inefficiency of the process. In particular, the significant percentage of blocking of the machines preceding the welding and adjusting machines, which instead turn out to be 80% busy in the simulation, identify these as bottlenecks in the process. In fact, a study of the model input data shows that these take about an hour to run, a significant amount of time compared to the rest of the process activities, which are around 20 min.