## 5 Discussion  
In the case study, MFCA identifies the highest negative product cost as a material cost which is 26.08%, while the total negative product cost is 27.85%. Most material loss is found in the cutting process considerable as 37.5% of the total material, as shown in Figure 4. Thus, reducing cutting loss is essential to improve Ingerie production. This result of MFCA investigation is the same as that has been found in the previous research [22], who proposed adjustments of cutting pieces and cutting tables to reduce the cutting wastes. However, their adjustments were done by the manual that was not suited to a large number of orders. To solve this problem to improve the cutting process, we propose 2 DCSP-TS that can arrange the cutting pattern automatically by computer. This approach can improve material utilization 7.7% on average when compared to the manual arrangement of the expert. Moreover, it speeds up a cutting pattern planning process 46 times on average and provides a more comfortable planning process without the need for the expertise of the workers. The faster planning process allows adapting production lines to support mass customization which has a variety of products in a large number of orders as lingerie industry. For the economic impact, implementation of MFCA and 2 DCSP-TS in the case study can reduce 7.62% of negative product costs which saves 549.64 USD per production lot, as shown in Table 4. To evaluate the monthly cost-saving based on average orders at 90,000 pieces per month, the order per production lot is between 1000 to 4000 pieces which are 2500 pieces per lot on average. As a result, there are 90,000/2500 = 36 production lots with a total cost saving of 549.64 USD \(\times\) 36 = 19,787.04 USD per month or 237,444.48 USD per year. As the organization in this case study has five branches, the solution will help save 1,187,222.40 USD per year if the improvement can be applied to other branches. Just entrepreneurs invest in the high-performance computer once at 10,000.00 USD per branch (50,000 USD per five branches), which can instantly get a payback investment. It is clear that the implementation of MFCA and 2 DCSP-TS can help to identify the feasibility to reduce material loss and improve the process with economically possible as well as minimize the environmental impact. \begin{table}
\begin{tabular}{c c c c c c c c c c c} \hline \hline \multirow{2}{*}{**Data**} & \multicolumn{2}{c}{**Material Costs**} & \multicolumn{2}{c}{**System Costs**} & \multicolumn{2}{c}{**Energy Costs**} & \multicolumn{2}{c}{**Waste Management Costs**} & \multicolumn{2}{c}{**Total**} \\ \cline{2-11}  & **Before** & **After** & **Before** & **After** & **Before** & **After** & **Before** & **After** & **Before** & **After** \\ \hline \multirow{2}{*}{Total Cost} & 5167.51 & 5167.51 & 1848.00 & 1848.00 & 188.16 & 188.16 & 13.33 & 13.33 & 7217.00 & 7217.00 \\  & 71.60\% & 71.60\% & 25.61\% & 25.61\% & 2.61\% & 2.61\% & 0.18\% & 0.18\% & 100.00\% & 100.00\% \\ \hline Positive Product & 3285.10 & 3806.02 & 1764.33 & 1784.76 & 157.67 & 165.96 & 0.00 & 0.00 & 5207.10 & 5756.74 \\ Cost & 45.52\% & 52.74\% & 24.45\% & 24.73\% & 2.18\% & 2.30\% & 0.00\% & 0.00\% & 72.15\% & 79.77\% \\ \hline Negative Product & 1882.41 & 1361.49 & 83.67 & 63.24 & 30.49 & 22.20 & 13.33 & 13.33 & 2009.90 & 1460.26 \\ Cost & 26.08\% & 18.87\% & 1.16\% & 0.88\% & 0.42\% & 0.31\% & 0.18\% & 0.18\% & 27.85\% & 20.23\% \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Comparison of production cost before and after improvement (in USD). For future work, the problem of the textile industry is that most of the wastes are fabrics. These are difficult to reuse because of their properties that soft and hard to handle for small pieces. Thus, the wastes will be moved to trash or rebuild to lower value products, such as doormats or foot towels. Applying information technology (IT), such as the proposed 2 DCSP-TS, is an opportunity for improvement to this industry. It will provide data in all processes, while giving a faster data collecting time.