## 5 Results  
The most relevant results of the UCLM social project to fight against the COVID-19 pandemic in Castilla-La Mancha (Spain) via 3D printing of PPEs will be presented in this section. These results will be analyzed considering the impact of switching organizational models between an initial centralized model and a decentralized model assisted by a collaborative web information system for the stabilization stage. These two organizational models have been analyzed by QGIS (QGIS Geographic Information System, Open Source Geospatial Foundation, v3.12) considering lineal spatial interpolation, \(P\) coefficient of 2, and the value of 0.001 for both \(X\) and \(Y\) resolutions. During the first 40 days of this work, the UCLM manufactured and delivered 12,363 face shields and 10,867 ear-savers. In the initial stage (from 23 March to 5 April), 5160 face shields were produced, whilst 7266 face shields and 10,867 ear-savers were manufactured in the stabilization stage (from 6 April to 2 May). As mentioned above, the first stage of the project was carried out according to a central distribution model based in Toledo (see Figure 9), following the initial instructions given by the COVID-19 Monitoring Committee of the UCLM. The 5160 facial shields manufactured during this stage in the 29 fabrication units were sent to Toledo and then distributed to 37 destinations (see Table 4). Table 5 shows the relation between production and demand in each province. As can be seen, Albacete was the most demanded campus (57.1% see Figure 10) and led the production of face shields (67.9%). As their production capacity was higher, this allowed them to back up the other campuses as is shown by the flux (\(\Delta[(1)-(2)]\)) in Table 5.  
Figure 10: 3D production volume and delivery maps of face shields in the central distribution model with the same perspective point and vertical scale (\(\times 20\)). \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Province** & **Contralized Model** & **Decentralized Model** & \(\Delta[(1)-(2)]\) \\  & **Destinations (1)** & **Destinations (2)** & \(\Delta[(1)-(2)]\) \\ \hline Albacete & 15 & 63 & 48 \\ Ciudad Real & 13 & 134 & 121 \\ Cuenca & 3 & 14 & 11 \\ Toledo & 6 & 31 & 25 \\ Sum & 37 & 242 & 205 \\ \hline \hline \end{tabular}
\end{table} 
Table 4: PPE destinations for centralized and decentralized models. Figure 9: Flux map of the face shields production (orange arrows) and deliveries (blue arrows) from the central distribution model. \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Province** & **Manufactured Face Shields (1)** & **Face Shield Request (2)** & \(\Delta[(1)-(2)]\) \\ \hline Albacete & 4023 (67.9\%) & 3383 (57.1\%) & 640 \\ Ciudad Real & 1291 (21.8\%) & 1431 (24.2\%) & \(-140\) \\ Cuenca & 240 (4.1\%) & 340 (5.7\%) & \(-100\) \\ Toledo & 369 (6.2\%) & 769 (13.0\%) & \(-400\) \\ Sum & 5923 (100.0\%) & 5923 (100.0 \%) & \\ \hline \hline \end{tabular}
\end{table} 
Table 5: Production and requesting of face shields per province in the central distribution model. This was rather paradoxical as the production from Albacete should have been sent to Toledo for the distribution and, in the case of requests from locations close to Albacete, sent them back. Obviously, this strategy could not be applied and Albacete had to work out of the system being the main producer. This caused a rather chaotic situation that complicated the processing of orders, preventing them from working at full capacity and delaying deliveries. To sum up, and as previously stated (see Section 3.1), this centralized model settle in Toledo was the bottleneck hindering a quick and effective response to all the requests coming from a rather vast region (see Figure 9). The second stage of the project used a decentralized distribution model based on a collaborative web information system, where each fabrication unit self-assigned the requests according to their capacity and availability, taking care of the entire process, i.e., from production to delivery (see Figure 10).