# A Blockchain-Based Quality 4.0 Application for Warehouse Management System
## 5 Application
### Blockchain Application
\begin{table}
\begin{tabular}{c c c c} \hline \hline  & **S1** & **S2** & **S3** & **S4** \\ \hline B1 & (L,L,M) & (L,VL,VL) & (L,M,ML) & (VL,L,L) \\ B2 & (ML,LV,VL) & (VH,M,M) & (H,VH,H) & (LH,MH,L) \\ B3 & (ML,L,ML) & (ML,M,ML) & (H,MH,M) & (MH,MH,M) \\ B4 & (ML,L,ML) & (L,ML,L) & (ML,M,ML) & (ML,NL,ML) \\ B5 & (ML,M,H) & (ML,MH,H) & (MH,VVH,MH) & (M,VH,H) \\ B6 & (VL,MH,L) & (L,H,M) & (ML,L,H) & (M,M,MH) \\ B7 & (ML,L,VL) & (ML,VL,VL) & (H,L,H) & (MH,M,H) \\ B8 & (ML,ML,ML) & (L,VL,ML) & (H,L,ML) & (HL,LM) \\ B9 & (MH,VH,H) & (M,VH,H) & (M,VL,ML) & (M,VL,ML) \\ B10 & (ML,M,H) & (MH,VVH,H) & (ML,MH,M) & (ML,H,M) \\ B11 & (MH,H,H) & (M,MH,M) & (ML,VL,M) & (ML,L,M) \\ B12 & (MH,L,H) & (M,M,M) & (ML,L,M) & (L,M,MH) \\ B13 & (H,H,MH) & (ML,L,H) & (L,L,H) & (VL,L,H) \\ B14 & (H,MH,MH) & (ML,L,L) & (H,ML,ML) & (VH,VH,H) \\ B15 & (V,MH,VH) & (VL,VH,H) & (H,M,MH) & (H,VL,VH) \\ B16 & (VH,VH,H) & (VH,H,VH) & (VL,M,H) & (ML,M,MH) \\ B17 & (ML,M,H) & (VH,M,H) & (VL,VL,VH) & (VL,M,H) \\ B18 & (ML,MH,H) & (ML,H,H) & (MH,ML,M) & (VH,M,M) \\ B19 & (VL,MH,L) & (M,VL,L) & (VH,H,M) & (VVH,H,ML) \\ B20 & (ML,MH,L) & (L,VL,L) & (M,MH,H) & (H,MH,M) \\ B21 & (H,VH,VH) & (M,H,VH) & (VL,M,MH) & (ML,M,H) \\ B22 & (H,M,H) & (M,H,LVH) & (M,ML,H) & (L,ML,H) \\ B23 & (L,L,M) & (L,VL,L) & (L,M,ML) & (L,ML,ML) \\ B24 & (ML,L,L) & (MH,L,ML) & (MH,H,M) & (MH,MH,M) \\ B25 & (MH,VL,L) & (ML,M,ML) & (H,VH,M) & (H,H,M) \\ \hline \hline \end{tabular}
\end{table} 
Table 7: Linguistic values determined by decision experts for the criteria. \begin{table}
\begin{tabular}{c c} \hline \hline
**Number** & **Pythagorean Fuzzy Numbers** \\ \hline Incredibly High (IH) & Y(0.95, 0.20, 0.387) \\ Very Very High (VVH) & Y(0.85, 0.30, 0.432) \\ Very High (VH) & Y(0.80, 0.35, 0.488) \\ High (H) & Y(0.70, 0.45, 0.552) \\ Medium-High (MH) & Y(0.60, 0.55, 0.580) \\ Medium (M) & Y(0.50, 0.60, 0.623) \\ Medium Low (ML) & Y(0.40, 0.70, 0.593) \\ Low (L) & Y(0.30, 0.75, 0.588) \\ Very Low (VL) & Y(0.20, 0.85, 0.488) \\ Incredibly Low (IL) & Y(0.10, 0.95, 0.295) \\ \hline \hline \end{tabular}
\end{table} 
Table 5: Linguistic values of options and degrees of performance. \begin{table}
\begin{tabular}{c c c c c} \hline  & \(\mathbf{S_{1}}\) & \(\mathbf{S_{2}}\) & \(\mathbf{S_{3}}\) & \(\mathbf{S_{4}}\) \\ \hline B\({}_{26}\) & (ML,L,L) & (VL,L,ML) & (ML,M,ML) & (L,VL,VL) \\ B\({}_{27}\) & (ML,M,H) & (LM,MH,H) & (MH,VVH,MH) & (ML,MH,VH) \\ B\({}_{28}\) & (H,VH,ML) & (L,VH,H) & (M,ML,VH) & (M,M,MH) \\ B\({}_{29}\) & (L,L,VL) & (ML,VL) & (MH,M,VH) & (H,ML,VH) \\ B\({}_{30}\) & (L,L,M) & (L,VL,ML) & (MH,ML,M) & (MH,VL,ML) \\ B\({}_{31}\) & (H,H,H) & (M,VH,H) & (M,VL,ML) & (M,CVL,ML) \\ B\({}_{32}\) & (ML,M,H) & (MH,VVH,H) & (ML,MH,M) & (ML,HM) \\ B\({}_{33}\) & (H,VH,H) & (VH,H,VH) & (VL,M,H) & (ML,M,MH) \\ B\({}_{34}\) & (ML,M,H) & (VH,M,H) & (VL,ML,MH) & (ML,M,H) \\ B\({}_{35}\) & (VL,MH,H) & (VL,H,H) & (VH,VL,M) & (VH,M,M) \\ B\({}_{36}\) & (VH,MH,L) & (M,VL,L) & (VH,H,M) & (VVH,H,MH) \\ B\({}_{37}\) & (VL,VH,L) & (L,VL,L) & (M,MH,M) & (H,MH,M) \\ B\({}_{38}\) & (H,VH,VH) & (M,H,VH) & (ML,M,MH) & (ML,M,H) \\ B\({}_{39}\) & (WL,ML,VH) & (M,VH,H) & (ML,ML,H) & (L,ML,H) \\ B\({}_{40}\) & (ML,ML,MH) & (L,VL,VL) & (L,M,ML) & (L,ML,ML) \\ B\({}_{41}\) & (M,VL,VL)

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## 6 Discussion

When the current warehouse management system of the business and the quality criteria (traceability, controllability, and sustainability) of the proposed BC-based Q-4.0 model are compared according to the quality components (process, technology, employee, and economy), the proposed BC-based Q-4.0 model will be much more beneficial for the business. It was observed that it met the criteria more. The comparison of the two systems according to the process quality component is in Table 12; the comparison according to the technology quality component is in Table 13; the comparison according to the employee quality component is in Table 14; the comparison according to the economy quality component is shown in Table 15.
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