## 5 Results  
The results for the low and high demand-scenarios are described in Table 3:  
Table 3 shows how the results improved from the initial situation to the implementation of cluster 5, as they are cumulative implementation steps. From the development, availability rates change from almost 50% in the initial situation to more than 90% in cluster 5. Moreover, it is important to point out how production almost tripled the value of the initial situation and how the service level improved from 77% to more than 98%. The level of stocks reduces by more than seven times as the manufacturing system has the capability to supply most of market demand in cluster 5, while in the initial situation the system has no capacity to meet demand. This occurs due to the increase of the performance rate of the supply chain processes as they almost double the output per time unit. In addition, the continuous increase of availability and quality rates from initial situation to \begin{table}
\begin{tabular}{c c c c c} \hline \hline \multirow{2}{*}{**No.**} & \multirow{2}{*}{**Cluster**} & \multicolumn{3}{c}{**Use Cases Definition**} \\ \cline{3-5}  & & **Use Case** & **Technology** & **Standard Global Production System Element** \\ \hline
1 & Get Data & Equipment Monitoring & Sensors & Quality management and robust processes \\ \hline
2 & Use Information & Production Planning & Data Analytics & Logistics and production control \\ \hline
3 & Apply in Specific & \
\begin{tabular}{c} Training and Task \\ Optimization \\ \end{tabular} & Virtual Reality &
\begin{tabular}{c} Work organization and \\ employee orientation \\ \end{tabular} \\ \hline
4 & Expand to Global & Autonomous AGVs &
\begin{tabular}{c} CPS (T4) \& Adaptive \\ Robots (T9) \\ \end{tabular} & Logistics and production control \\ \hline
5 & Continuous Improvement & \
\begin{tabular}{c} Production, Maintenance \\ and Equipment \\ \end{tabular} & Additive Manufacturing &
\begin{tabular}{c} Quality management and robust \\ processes, logistics and \\ production control, product and \\ process development \\ \end{tabular} \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Use Cases Definition (own elaboration). \begin{table}
\begin{tabular}{c c c c c} \hline \hline \multirow{2}{*}{**No.**} & \multirow{2}{*}{\
\begin{tabular}{c} **Simulation** \\ **Models** \\ \end{tabular} } & \multicolumn{3}{c}{**Logic Formulation**} \\ \cline{3-5}  & & **Use Case** & **Description of Impacts** & **Impact on KPIs** &
\begin{tabular}{c} **Implementation** \\ **Lead Time** \\ **(Weeks)** \\ \end{tabular} \\ \hline
1 & Cluster 1 & Equipment Monitoring & Maintenance Improvement & Plant Availability & 12 \\ \hline
2 & Cluster 2 & Production Planning &
\begin{tabular}{c} Capacity Utilization \\ Improvement, Reliable Planning \\ \end{tabular} & Service Level & 8 \\ \hline
3 & Cluster 3 & \
\begin{tabular}{c} Training and Task \\ Optimization \\ \end{tabular} &
\begin{tabular}{c} Product and Process \\ Optimization, Quality \\ Improvement, Staff Qualification \\ \end{tabular} & Plant Capacity, Lead \\ \hline
4 & Cluster 4 & Autonomous AGVs & Logistics Improvement & Logistics Availability & 12 \\ \hline
5 & Cluster 5 & \
\begin{tabular}{c} Production, Maintenance \\ and Equipment \\ \end{tabular} &
\begin{tabular}{c} Global Supply Chain \\ Times Reduction \\ \end{tabular} & Lead Times & 18 \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Logic Formulation for the Use Cases (own elaboration). cluster 5 contribute to this effect of increasing the capacity for meeting market demand. All of these improvements imply the decrease of customer order lead time from 183 to 82 days. Furthermore, it can be observed how at the beginning the organization was not making any profits, with a loss of \(-1893\) million euros and how in each step it improves continuously, being positive only after cluster 3 and later. Following this development, the contribution of the different clusters' implementation on service and economic goals can be analyzed.