## 5 Results  
In this section, the simulation results for the simulation model for the three scenarios with different POQ and the same demand are presented in the following tables (Tables 1-3). As shown in Table 1, five different POQ are evaluated for the first scenario. As this scenario represents the ideal or theoretical planning that reproduces the supply as expected, the simulation model provides a 100% service level without backlogs for all values of the POQ. In addition, inventories are lower as the POQ reduces, being almost 10 times lower for a POQ of 4 units than for a POQ of 96 units. On the other hand, the number of procurement orders placed follows a contrasting trend with 54 orders for a POQ of 4 and 4 orders for a POQ of 96 units. Moreover, in relation to cost, it can be seen how the minimum inventory costs and also procurement management costs are for a POQ of 24 units, which represents the economic order quantity (EOQ) for the input parameters. \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline  & & & \multicolumn{4}{c}{**Procment Order Quantity (POQ), \# Units**} \\ \cline{3-6}
**No.** & **Key Indicator** & \begin{tabular}{c} **POQ 1** \\ **4 Units** \\ \end{tabular} & \begin{tabular}{c} **POQ 2** \\ **16 Units** \\ \end{tabular} & \begin{tabular}{c} **POQ 3** \\ **EOQ = 24** \\ \end{tabular} & \
\begin{tabular}{c} **POQ 4** \\ **48 Units** \\ \end{tabular} &
\begin{tabular}{c} **POQ 5** \\ **96 Units** \\ \end{tabular} \\ \hline
1 & \(\sum\) Demand (\# products) & 356 & 356 & 356 & 356 & 356 \\
2 & Cumulated Service level (\%, products) & 100.0\% & 100.0\% & 100.0\% & 100.0\% & 100.0\% \\
3 & Cumulated Service level (\%, days) & 100.0\% & 100.0\% & 100.0\% & 100.0\% & 100.0\% \\
4 & \(\sum\) Backlog (\# products) & 0 & 0 & 0 & 0 & 0 \\
5 & \(\sum\) Backlog (\# days) & 0 & 0 & 0 & 0 & 0 \\
6 & \(\overline{O}\) Stocks (\# units) & 6.6 & 12.7 & 16.8 & 30.1 & 57.2 \\
7 & \(\sum\) Procurement Orders (\# orders) & 54 & 22 & 15 & 8 & 4 \\
8 & \(\sum\) Inventory costs (USD) & 216,010 & 214,961 & 214,838 & 215,063 & 215,931 \\
9 & \(\sum\) Procurement management costs (USD) & 2410 & 1361 & 1238 & 1463 & 2331 \\
10 & \(\sum\) Procurement costs (USD) & 215,760 & 214,480 & 214,200 & 213,920 & 213,760 \\
11 & \(\sum\) Warehouse storage costs (USD) & 250 & 481 & 638 & 1143 & 2171 \\
12 & \(\sum\) Capital commitment costs (USD) & 83 & 160 & 213 & 381 & 724 \\
13 & \(\sum\) Storage costs (USD) & 167 & 320 & 425 & 762 & 1447 \\
14 & \(\sum\) Stock-out costs (USD) & 0 & 0 & 0 & 0 & 0 \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Simulation results for scenario 1: A reliable supply behavior. Figure 8: Simulation scenarios based on supply reliability and disruption level (own elaboration). As can be seen in Table 2, five different POQ are also evaluated for the second scenario. As this scenario represents planning that reproduces a reality in which the supply reliability is affected, there are deviations that imply delays reducing the service levels for the different POQ options. Service levels increase, as does the POQ, however, a significant increase in the service levels in the number of products is realized up to POQ that equals the EQQ. In addition, inventories are also lower as the POQ reduces--being almost 10 times lower for a POQ of 4 units than for a POQ of 96 units. Moreover, in relation to cost, it can be seen how the minimum inventory costs and procurement management costs are for a POQ of 96 units. However, the relevant cost reduction occurs in the change from a POQ of 4 units to a POQ of 24 units, almost USD 9000, while the change from 24 to 96 units represents less than USD 4000. As can be seen in Table 3, five different POQ are also evaluated for the third scenario. As this scenario represents planning that reproduces a reality in which the supply reliability is affected, there are deviations that imply delays, reducing the service levels for the different POQ options.