# Application of Simulation in the Optimization of the Blood Plasma Storage Process
## 4 Methodology and Analysis of Processes and Subsequent Proposals for Optimization in Bottlenecks
### Optimization of the Application of the Final Layer  
Therefore, if we know that the operations associated with the application of the final layer of the output of the process in question represent a significant bottleneck, it is necessary to optimize these operations in a more significant way. This optimization proposal is radical in a significant way but has the highest potential to produce the desired effects. The chosen optimization criterion in this case was an increase in line production when structural changes were made and the unification of several operations. This step should save the time of moving along the conveyors, between individual operations. Before creating the simulation, a methodological procedure was created for this part of the optimization of this production process (Figure 14). \begin{table}
\begin{tabular}{l l l l l} \hline \hline
**Operation** & **Work (\%)** & **Waiting (\%)** & **Blocking (\%)** & **Speed(m/s)** \\ \hline Cutting 1 & 15.75 & 0.76 & 83.49 & - \\ \hline Pressing spacer layer & 29.67 & 0.31 & 70.03 & - \\ \hline Disinfection 1 & 46.39 & 0.50 & 53.11 & - \\ \hline Pressing separation layer & 26.00 & 6.85 & 67.15 & - \\ \hline Disinfection 2 & 40.28 & 0.94 & 58.78 & - \\ \hline Cutting 2 & 12.17 & 0.78 & 87.06 & - \\ \hline Pressing the final layer & 99.52 & 0.48 & 0.00 & - \\ \hline Position & 13.22 & 86.78 & 0.00 & - \\ \hline Application of the final layer & 65.83 & 34.17 & 0.00 & - \\ \hline Final trimming & 13.11 & 85.58 & 1.31 & - \\ \hline Warming up 1 & 52.22 & 47.78 & 0.00 & - \\ \hline Turning around & 26.06 & 73.94 & 0.00 & - \\ \hline Packaging & 65.00 & 35.00 & 0.00 & - \\ \hline Warming up 2 & 51.87 & 48.13 & 0.00 & - \\ \hline Conveyor belts & - & - & - & 0.5 \\ \hline \hline \end{tabular}
\end{table} 
Table 6: The percentage of activity of the operations after the optimization of the pressing of the final layer. \begin{table}
\begin{tabular}{l l l l} \hline \hline
**Operation** & **Output Name** & **TPH (ks/hod.)** & **Production** & **Transport** \\ \hline Drain & Cobas HIV-1 & 466 & 52.94\% & 47.06\% \\ \hline \hline \end{tabular}
\end{table} 
Table 5: Output values when optimizing the final layer pressing station. In Figure 15, we can see 3D models of all the stations that deal with operations related to the application of the final layer of the product. This is specifically the operation of cutting, pressing, placing in position, and the operation of applying the final layer. Since we know that these operations deal with one type of input and follow each other immediately, it is possible to propose such a design optimization solution in which one station would perform several operations at the same time. This eliminates the need for conveyor belts between individual stations, which significantly saves time. Figure 14: Methodical procedure for solving the optimization during the application of the final layer using the unification of several operations. Figure 15: Operations that are subject to optimization. In Figure 16 we can see the concrete design solution of our optimization proposal. It is a station that can perform all the mentioned operations related to the application of the final layer at the same time. With this optimization, we are able to save an average of up to 30 s per input on the overall application of the final layer. In Figure 17, we can observe significant changes that the optimization caused in the simulations. Compared to the original state of production in Figure 12, before the optimization, there were stations ensuring the treatment of the final layer before its application. After introducing the structural design into the simulation, the stations were unified, which saves time and also space in the production hall. Table 7 shows us the values that the output of the process in question will reach after the introduction of the optimization of the final layer application. Compared to the original state of the process, almost twice as many outputs are produced in the same unit of time, in our case, in an hour.