## 4 SMS Configurations Setup
### Fuzzy Logic Configurations
#### 4.2.2 Fuzzy Logic Configurations in Evaluation Scenarios  
In this section, we discuss the configuration setups for all three types of configurations. The first configuration will have the Lead time set as the input variable as Low, while the second and third configuration will have it set to Medium and High, respectively. These setups will be measured together with Quality and Cost input, which impact the Cost Justification prediction. The measurement will be conducted as Low (L), Medium (M), and High (H) for the input variables while the output variable is set to be Low, Reasonable, and  
Figure 4: High-level view of Fuzzy Logic configuration.  
In this first configuration, as shown in Figure 9, Low lead time value is paired with Low, Medium, and High value of quality, followed by Low, Medium, and High value of cost. The Cost Justification is ruled out based on prediction and will be further validated by an engineer later in this paper. Each arrow is used as a prediction rule to determine the Cost Justification. For example, when a Medium Quality product Medium Quality product accompanies a low Lead time accompanies a low Lead time, it can cause the Cost Justification.  
\begin{table}
\begin{tabular}{c c c c} \hline
**MF Values** & **Low** & **Medium** & **High** \\ \hline Lead time & [0 15 30] & [30 45 60] & [60 75 90] \\ Quality & [0 15 30] & [30 45 60] & [60 75 90] \\ Cost & [0 10 20] & [15 25 35] & [30 40 50] \\ \hline \end{tabular}
\end{table}
Table 2: Membership Function Configuration for Input Variables.  
Figure 8: Cost Justification MF.  
Figure 9: First Scenario Configuration.  
to be either Low, Medium, or High. Thus, the overall Cost with contributing factors will be justified as either is it classified as Low cost or Reasonable cost or considered as High cost. This will further assist manufacturing engineers in deciding on which kind of setup. As shown in Figure 3 earlier, it will have this kind of indicator values and will further enable them to plan the setup based on the assessed cost justification for better results in the future.  
In the second configuration, as shown in Figure 10 below, the medium lead time value is paired with low, medium, and high values of quality, followed by Low, Medium, and High values of cost. Each arrow is used as a prediction rule to determine the cost Justification. For instance, High-quality value is paired with low cost and medium lead time, which can be further justified as low cost or reasonable cost. This is ruled out based on prediction and will be further validated by an engineer later in this section.  
In the third configuration, High lead time value is paired with Low, Medium, and High value of quality, followed by Low, Medium, and High value of Cost. Each arrow is used as a prediction rule to determine the Cost Justification. For illustration, cost justification is supposed to be low or Reasonable if the Lead time is high, but the quality and Cost factors are medium. This is based on predictions using Fuzzy Logic rules. However, the validity of the cost justification will be validated by an engineer later in this section. Figure 11 below shows the rules setup.