## 3 Results
Those data sets are slightly changed so that the resulting routing data or PMIMs are suited for the 0-1 GCF problem format. For problem 5, process plans b and c of part type 2 are merged into an identical process plan since they require the same tools. For problems 17 and 19, process plan c of part type 1 has been deleted since it requires the same machines as process plan b. All the GCF incidences and block diagonal solution matrices are available upon request. \begin{table}
\begin{tabular}{c c c c c c c c c c c c c} \hline \hline
**Original** & \multicolumn{4}{c}{**Expanded Problem Size**} & \multicolumn{4}{c}{**Proposed Approach**} \\ \cline{2-13}
**Problem** & _n(q)_ & \(m\) & \(t\) & \(p\) & \(U\) & \(e\) & **EEs** & **Voids** & **GE (\%)** & **CPU (s)** \\ \hline
1. [70] & 60 & 60 & 178 & 12 & 7 & 302 & 2 & 90 & **76.53** & 0.28 + 0.085 \\
2. [78] & 60 & 140 & 298 & 10 & 6 & 956 & 502 & 386 & 33.83 & 0.89 + 0.129 \\
3. [51] & 60 & 70 & 164 & 10 & 7 & 466 & 116 & 76 & **64.58** & 0.58 + 0.095 \\
4. [51] & 80 & 90 & 200 & 14 & 7 & 533 & 81 & 70 & **74.96** & 0.77 + 0.101 \\
5. [51] & 110 & 120 & 248 & 16 & 9 & 822 & 100 & 106 & **77.80** & 0.63 + 0.121 \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Computational results with double-expanded large-size incidences. \begin{table}
\begin{tabular}{c c c c c c c c c c c c c c c} \hline \hline
**Problem** & \multicolumn{4}{c}{**Problem Size**} & \multicolumn{4}{c}{**Reference Algorithm**} & \multicolumn{4}{c}{**Proposed Approach**} \\ \hline
**Source** & _n(q)_ & \(m\) & \(t\) & \(p\) & \(U\) & \(e\) & **EEs** & **Voids** & **GE (\%)** & \(e\) & **EEs** & **Voids** & **GE (\%)** & **CPU (s)** \\ \hline
11. [71] & 8 & 15 & 46 & 2 & 4 & 30 & 1 & 31 & 47.54 & 35 & 1 & 26 & **55.74** & 0.08 + 0.049 \\
8 & 15 & 46 & 2 & 5 & NA & NA & NA & NA & NA & 33 & 0 & 22 & **60.00** & 0.07 + 0.048 \\
8 & 15 & 46 & 3 & 3 & 32 & 1 & 12 & 70.45 & 33 & 1 & 9 & **76.19** & 0.09 + 0.047 \\ \hline
12. [72] & 12 & 20 & 26 & 3 & 5 & NA & 29 & NA & 47.06  & 85 & 31 & 26 & **48.65** & 0.08 + 0.047 \\
13. [72] & 14 & 20 & 45 & 3 & 5 & 85 & 24 & 35 & **50.83**  & 85 & 31 & 27 & 48.21 & 0.09 + 0.051 \\
14. [72] & 18 & 18 & 59 & 3 & 6 & 116 & 26 & 108 & 40.18  & 116 & 32 & 84 & **42.00** & 0.09 + 0.054 \\ \hline
15. [73] & 10(13) & 7 & 13 & 3 & 5 & 22 & 0 & 9 & **70.97** & 23 & 1 & 11 & 64.71 & 0.08 + 0.053 \\ \hline
16. [74] & 6(15) & 20 & 34 & 3 & 5 & 49 & 0 & 52 & 48.51  & 49 & 0 & 51 & **49.00** & 0.08 + 0.048 \\ \hline
17. [75] & 6 & 8 & 14 & 2 & 3 & 21 & 1 & 4 & 80.00 & 22 & 1 & 3 & **84.00** & 0.05 + 0.046 \\
18. [75] & 5 & 7 & 11 & 2 & 3 & 15 & 0 & 3 & 83.33 & 17 & 1 & 1 & **88.89** & 0.05 + 0.047 \\
19. [75] & 10(14) & 16 & 31 & 2 & 7 & 68 & 8 & 52 & 50.00 & 68 & 1 & 45 & **59.29** & 0.08 + 0.050 \\ \hline
20. [76] & 10(16) & 20 & 35 & 2 & 10 & 77 & 0 & 87 & **46.95** & 77 & 4 & 79 & 46.79 & 0.09 + 0.049 \\ \hline
21. [77] & 9 & 8 & 20 & 2 & 6 & 28 & 2 & 13 & 63.41 & 28 & 2 & 10 & **68.42** & 0.08 + 0.046 \\ \hline
22. [78] & 30 & 70 & 149 & 2 & 15 & NA & NA & NA & NA & 477 & 132 & 717 & 28.89 & 0.15 + 0.079 \\
30 & 70 & 149 & 3 & 10 & NA & NA & NA & NA & 478 & 193 & 415 & 31.91 & 0.28 + 0.082 \\
30 & 70 & 149 & 4 & 8 & NA & NA & NA & NA & 477 & 219 & 290 & 33.64 & 0.17 + 0.081 \\
30 & 70 & 149 & 5 & 6 & NA & NA & NA & NA & 478 & 249 & 192 & 34.18 & 0.16 + 0.081 \\ \hline
23. [51] & 30 & 35 & 82 & 4 & 8 & 224 & 52 & 92 & 54.43 & 229 & 52 & 86 & **56.19** & 0.18 + 0.067 \\
30 & 35 & 100 & 5 & 7 & NA & NA & NA & NA & 233 & 58 & 38 & 64.58 & 0.13 + 0.066 \\
24. [51] & 40 & 45 & 100 & 6 & 8 & 263 & 39 & 86 & 64.18 & 263 & 37 & 85 & **64.94** & 0.19 + 0.076 \\
40. & 45 & 100 & 7 & 7 & NA & NA & NA & NA & 266 & 42 & 36 & **74.17** & 0.26 + 0.069 \\
25. [51] & 55 & 60 & 124 & 8 & 9 & 402 & 50 & 62 & 75.86 & 411 & 50 & 53 & **77.80** & 0.27 + 0.076 \\ \hline
26. [62] & 8 & 20 & 27 & 3 & 4 & 60 & 10 & 2 & **80.65** & 60 & 10 & 2 & **80.65** & 0.07 + 0.051 \\ \hline \hline \end{tabular}
\end{table}