## 4 SMS Configurations Setup
### Testing and Validation
#### 4.3.4 Final Summary Results and Validation by Field Engineers  
Figure 15 displays the total summary of tests conducted and their respective results. Nine tests were conducted using the Fuzzy Logic configuration model that was developed using MATLAB, as shown in Figure 15. Each of the three different types of configurations was evaluated by three different scenarios for each configuration, respectively. The values used for each configuration testing are specified in Table 5, Table 6, and Table 7, respectively. As shown in the bar chart below, each configuration test consists of a pairing of Lead time with Quality and Cost under three different settings, respectively. Firstly, Lead time is set to be low in the first configuration and paired with Quality and Cost, followed by medium Lead time with Quality and Cost, and high Lead time with Quality and Cost, respectively. The values of quality and Cost were also set up under the settings of Low, Medium, and High in each configuration alternatively. The factors which acted as the input values, cost Justification variable was used as the output, and the values of Cost and Cost Justification were set to be similar. Lead time and quality were given the same range of values for Low, Medium, and High, whereas Cost and Cost Justification was set with a similar range for Low, Medium, or Reasonable and High. Lead time, Quality and Cost are indicated with the clustered columns, while the stacked line with blue markers indicates the final output for cost justification. C1 T1 represents Configuration 1 Test 1, and the rest of the clustered column naming follows suit in the bar chart. From the chart, the Cost Justification is shown to be Low or Reasonable if a low Lead time is paired with high quality and low cost as seen in C1 T3, and if medium Lead time is paired with medium Quality and low or medium Cost, as shown in C2 T3. Next, this happens if a high Lead time is matched with high quality and low cost as displayed in C3 T1.  
On the other hand, as shown in C1 T1, C2 T1 and C3 T3, the Cost is justified as reasonable if low Lead time is tested with high Quality and medium Cost. Medium Lead time is tested with high Quality and medium or slightly high Cost. Finally, high Lead time is tested with high quality and high cost, respectively, in these configurations. Furthermore, cost is justified as high as shown in C1 T2, C2 T2 and C3 T2, respectively, as the Lead time is set to be of low with low quality but high cost. Medium Lead time is paired with low Quality and high Cost, and high Lead time is matched with low quality, accompanied by high cost.  
The bar chart above enables the results and the tested configurations to be visualized in a better way to get a clearer picture of which setup is the best. In the next section, the validation made by actual field engineers on these configurations' types will be discussed further.  
\begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Test Cases** & **Lead Time** & **Quality** & **Cost** & **Cost Justification** \\ \hline
1 & 75.7 (H) & 75.7 (H) & 28.3 (M) & 17.5 (L) \\
2 & 75.7 (H) & 8.72 (L) & 38.9 (H) & 40 (H) \\
3 & 75.7 (H) & 81.3 (H) & 45.5 (H) & 25 (R) \\ \hline \hline \end{tabular}
\end{table}
Table 7: Third Configuration Test Scenarios.