## 5 Simulation Results
\begin{table}
\begin{tabular}{c l c c c c c c} \hline \hline \multirow{2}{*}{**No.**} & \multirow{2}{*}{**Key Indicator**} & \multicolumn{6}{c}{**Simulation Models: Cumulative Process Improvements**} \\ \cline{3-8}  & & **1. Non-Lean** & **2. LM** & **3. Lean Six Sigma** & **4. TOC** & **5. QRM** & **6. AM** \\ \hline \multirow{3}{*}{1} & \(\sum\) Market Demand (\# 10\({}^{3}\) & \multirow{3}{*}{384.7} & \multirow{3}{*}{384.7} & \multirow{3}{*}{384.7} & \multirow{3}{*}{384.7} & \multirow{3}{*}{384.7} & \multirow{3}{*}{384.7} \\  & products) & & & & & & \\ \cline{1-1} \cline{5-8}
2 & \(\sum\) Real Demand (\# 10\({}^{3}\) products) & 206.6 & 281.7 & 339.0 & 367.5 & 381.5 & 382.5 \\ \cline{1-1} \cline{5-8}
3 & \(\sum\) Production (\# 10\({}^{3}\) products) & 171.3 & 216.1 & 283.7 & 325.7 & 358.9 & 367.1 \\ \cline{1-1}
4 & \(\mathcal{O}\) Availability rate (\%) & 84.5 & 90.3 & 90.3 & 90.3 & 91.7 & 91.7 \\ \cline{1-1}
5 & \(\mathcal{O}\) Performance rate (\%) & 77.7 & 80.5 & 96.4 & 96.1 & 106.3 & 116.5 \\ \cline{1-1}
6 & \(\mathcal{O}\) Quality rate (\%) & 82.3 & 91.3 & 97.8 & 97.4 & 97.2 & 98.5 \\ \cline{1-1}
7 & \(\sum\) Stocks (\# 10\({}^{6}\) products) & 33.5 & 22.0 & 17.4 & 11.0 & 5.5 & 4.8 \\ \cline{1-1}
8 & \(\sum\) WIP stock (\# 10\({}^{6}\) products) & 1.0 & 1.2 & 1.5 & 1.7 & 1.8 & 1.8 \\ \cline{1-1}
9 & \(\mathcal{O}\) Labor productivity & 34.3 & 43.2 & 56.7 & 65.2 & 71.8 & 119.1 \\ \cline{1-1}
10 & \(\mathcal{O}\) Production lead time (\# days) & 171.6 & 201.6 & 124.8 & 92.1 & 55.9 & 43.4 \\ \cline{1-1}
11 & Cumulated service level (\%) & 85.4 & 77.1 & 81.8 & 85.8 & 90.7 & 92.4 \\ \cline{1-1}
12 & \(\mathcal{D}\) Profits (million USD) & 237.8 & 387.9 & 502.6 & 559.6 & 587.6 & 589.6 \\ \cline{1-1}
13 & \(\sum\) Operational Costs (million USD) & 2122 & 1247 & 1315 & 1011 & 754 & 613 \\ \cline{1-1}
14 & \(\sum\) Investment (million USD) & 20 & 20 & 20 & 40 & 40 & 30 \\ \cline{1-1}
15 & Return on investment (ROI) (\%) & 3.5 & 4.3 & 5.0 & 5.0 & 5.0 & 6.9 \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Simulation results for the high demand level scenario. \begin{table}
\begin{tabular}{c l c c c c c c} \hline \hline \multirow{2}{*}{**No.**} & \multirow{2}{*}{**Key Indicator**} & \multicolumn{6}{c}{**Simulation Models: Cumulative Process Improvements**} \\ \cline{3-8}  & & **1. Non-Lean** & **2. LM** & **3. Lean Six Sigma** & **4. TOC** & **5. QRM** & **6. AM** \\ \hline \multirow{3}{*}{1} & \(\sum\) Market demand (\# 10\({}^{3}\) products) & 284.7 & 284.7 & 284.7 & 284.7 & 284.7 & 284.7 \\ \cline{1-1}
2 & \(\sum\) Real demand (\# 10\({}^{3}\) products) & 197.7 & 249.9 & 283.6 & 283.8 & 283.9 & 284.0 \\ \cline{1-1}
3 & \(\sum\) Production (\# 10\({}^{3}\) products) & 170.5 & 213.7 & 276.8 & 281.8 & 281.8 & 282.7 \\ \cline{1-1}
4 & \(\mathcal{O}\) Availability rate (\%) & 84.5 & 90.3 & 90.3 & 90.3 & 91.7 & 91.7 \\ \cline{1-1}
5 & \(\mathcal{O}\) Performance rate (\%) & 77.8 & 80.6 & 96.5 & 96.5 & 106.9 & 117.2 \\ \cline{1-1}
6 & \(\mathcal{O}\) Quality rate (\%) & 82.4 & 91.4 & 97.9 & 97.8 & 97.8 & 98.8 \\ \cline{1-1}
7 & \(\sum\) Stocks (\# 10\({}^{6}\) products) & 33.9 & 11.4 & 2.6 & 1.8 & 1.8 & 1.7 \\ \cline{1-1}
8 & \(\sum\) WIP stock (\# 10\({}^{6}\) products) & 1.0 & 1.1 & 1.4 & 1.4 & 1.4 & 1.4 \\ \cline{1-1}
9 & \(\mathcal{O}\) Labor productivity & 34.1 & 42.7 & 55.4 & 56.4 & 56.4 & 91.8 \\ \cline{1-1}
10 & \(\mathcal{O}\) Production lead time (\# days) & 145.6 & 131.3 & 43.4 & 35.9 & 35.8 & 34.7 \\ \cline{1-1}
11 & Cumulated service level (\%) & 88.7 & 85.9 & 95.4 & 96.7 & 97.2 & 97.8 \\ \cline{1-1}
12 & \(\mathcal{D}\) Profits (million USD) & 270.1 & 374.5 & 441.7 & 442.3 & 442.3 & 442.6 \\ \cline{1-1}
13 & \(\sum\) Operational costs (million USD) & 2137 & 713 & 566 & 528 & 526 & 421 \\ \cline{1-1}
14 & \(\sum\) Investment (million USD) & 20 & 20 & 20 & 40 & 40 & 30 \\ \cline{1-1}
15 & Return on investment (ROI) (\%) & 3.5 & 4.3 & 5.0 & 5.0 & 5.0 & 6.9 \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Simulation results for the low demand level scenario.