# An Approach to Supporting the Selection of Maintenance Experts in the Context of Industry 4.0
## 4 A Model for Supporting the Selection of Maintenance Experts  
In order to illustrate the possibility of answering our research questions, let us consider the situation. The problem that is being considered entails selecting employees with the appropriate competence to undertake the repair of the given machine in companies, involving Industry 4.0. The research was carried out in the automotive industry company. Production, being partly automated, is carried out using a two-shift system. The maintenance manager supervises the work of four employees who service 18 machines. Below is an extract from the web-application for identifying the Industry 4.0, maintenance expert, based on the approach (Figure 1). According to stage 1, (Figure 1) the data on the types of failure for each manufacturing resource from the information system is received and formalised, according to the rules that are included in Table 1 (Table 5)  
Then, according to stage 2, the formalised data of the parameters of each type of failure (Table 2) is identified (Table 6). According to the third stage, for each competence: C\({}_{1}\),C\({}_{2}\),C\({}_{3}\),C\({}_{4}\),C\({}_{5}\), a knowledge web-questionnaire is defined. The extracts from the web-questionnaires for workers facilitating the obtaining of values for each competence are presented (Figures 2-5). \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Workers/“State of Nature”** & **N\({}_{\mathbf{R1}}\)** & **N\({}_{\mathbf{R2}}\)** &... & **N\({}_{\mathbf{Ri}}\) ieN** \\ \hline \(W_{1}\) & N\({}_{\text{RIW1}}\)\(<\)0\(\downarrow\)1.66\(>\) & N\({}_{\text{R2W1}}\)\(<\)0\(\downarrow\)1.66\(>\) &... & N\({}_{\text{RIW1}}\)\(<\)0\(\downarrow\)1.66\(>\) \\... &... &... &... &... \\ \(W_{t}\), teN & N\({}_{\text{RIW1}}\)\(<\)0\(\downarrow\)1.66\(>\) & N\({}_{\text{R2W1}}\)\(<\)0\(\downarrow\)1.66\(>\) &... & N\({}_{\text{RIW1}}\)\(<\)0\(\downarrow\)1.66\(>\) \\ \hline \hline \end{tabular}
\end{table} 
Table 4: The value of each “state of nature” for each manufacturing resource R\({}_{i}\), ieN. \begin{table}
\begin{tabular}{c c c c c c c c c c c c c} \hline \hline \multirow{2}{*}{**F\({}_{1}\) - Failure of Control System**} & \multicolumn{3}{c}{**F\({}_{11}\)**} & \multicolumn{3}{c}{**F\({}_{12}\)**} & \multicolumn{3}{c}{**F\({}_{13}\)**} & \multicolumn{3}{c}{**F\({}_{14}\)**} \\ \cline{2-13}  & **P\({}_{1}\)** & **P\({}_{2}\)** & **P\({}_{3}\)** & **P\({}_{1}\)** & **P\({}_{2}\)** & **P\({}_{3}\)** & **P\({}_{1}\)** & **P\({}_{2}\)** & **P\({}_{3}\)** & **P\({}_{1}\)** & **P\({}_{2}\)** & **P\({}_{3}\)** \\ \hline R1 & 13 & 56 & 21 & 26 & 183 & 25 & 18 & 203 & 23 & 30 & 122 & 26 \\ R2 & 15 & 104 & 22 & 11 & 71 & 20 & 23 & 102 & 24 & 18 & 145 & 25 \\ R3 & 20 & 51 & 23 & 14 & 107 & 28 & 10 & 60 & 21 & 26 & 66 & 29 \\ R4 & 15 & 182 & 24 & 27 & 100 & 30 & 24 & 117 & 28 & 20 & 45 & 24 \\ R5 & 29 & 106 & 30 & 18 & 174 & 24 & 30 & 208 & 27 & 22 & 196 & 28 \\ R6 & 18 & 102 & 23 & 20 & 150 & 22 & 26 & 76 & 20 & 20 & 149 & 20 \\ R7 & 26 & 65 & 22 & 23 & 203 & 20 & 27 & 209 & 30 & 14 & 41 & 30 \\ R8 & 13 & 203 & 25 & 17 & 51 & 22 & 29 & 116 & 28 & 17 & 107 & 29 \\ R9 & 21 & 169 & 20 & 27 & 55 & 20 & 13 & 187 & 25 & 24 & 114 & 27 \\ R10 & 19 & 202 & 24 & 25 & 139 & 26 & 27 & 166 & 24 & 20 & 81 & 23 \\ R11 & 15 & 195 & 20 & 28 & 163 & 23 & 22 & 152 & 20 & 11 & 157 & 21 \\ R12 & 29 & 53 & 22 & 19 & 159 & 25 & 29 & 163 & 21 & 15 & 188 & 21 \\ R13 & 28 & 174 & 27 & 22 & 198 & 20 & 12 & 188 & 21 & 21 & 103 & 25 \\ R14 & 14 & 158 & 27 & 25 & 61 & 22 & 14 & 132 & 23 & 29 & 188 & 26 \\ R15 & 29 & 30 & 30 & 14 & 80 & 28 & 26 & 105 & 21 & 24 & 99 & 27 \\ R16 & 14 & 30 & 23 & 17 & 52 & 30 & 16 & 168 & 21 & 28 & 41 & 30 \\ R17 & 25 & 206 & 28 & 19 & 84 & 25 & 13 & 51 & 25 & 15 & 193 & 22 \\ R18 & 11 & 106 & 23 & 17 & 50 & 26 & 17 & 91 & 28 & 27 & 115 & 27 \\ \hline \hline \end{tabular}
\end{table} 
Table 6: Parameters of failure: F1—failure of the control system. Figure 3: An extract from the web questionnaire, for employees facilitating the determining of competence: knowledge-based.