## 7 Conclusions  
Global warming due to increasing carbon emissions as a result of the applications of non-renewable energy resources is a serious issue for current and future generations. This is the reason that researchers and experts are searching for a sustainable solution. This study proposed a multiobjective model to simultaneously minimize total production cost, carbon emissions, and cost of energy for manufacturing processes in order to develop a production policy for manufacturers and suppliers in a supply chain. It was observed that the addition of renewable energy as a cleaner environmental technology produced a positive impact on the environment by reducing carbon emission in a manufacturing system. On the other hand, the total cost of production had slightly increased due to initial investments of renewable energy from the solar system, although running costs are more \begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Case** & **Parameters** & **Initial Value** & **\% Change (in Value\%)** & **\% Effect on Total** & **\% Effect on Energy** \\  & & & **Value** & **(in Value\%)** & **Cost, TC (\$)** & **Cost, TEC (\$)** \\ \hline \hline \multirow{3}{*}{5} & \multirow{3}{*}{\(\gamma_{4}\) (\(\$/\)kWh)} & & \(-50\) & \(-0.10\) & \(-14.00\) \\  & & & \(-25\) & \(-0.04\) & \(-8.96\) \\  & & & +25 & +0.05 & +7.29 \\  & & & +50 & +0.10 & +15.42 \\ \hline \multirow{3}{*}{6} & \multirow{3}{*}{\(\gamma_{1}\) (\(\$/\)kWh)} & & \(-50\) & \(-0.20\) & \(-33.33\) \\  & & & \(-25\) & \(-0.10\) & \(-16.67\) \\  & & & +25 & +0.11 & +16.67 \\  & & & +50 & +0.20 & +33.33 \\ \hline \multirow{3}{*}{7} & \multirow{3}{*}{\(\gamma_{5}\) (\(\$/\)kg)} & & \(-50\) & \(-0.18\) & \multirow{3}{*}{No effect} \\  & & & \(-25\) & \(-0.09\) & \\  & & & +25 & +0.09 & \\  & & & +50 & +0.18 & \\ \hline \multirow{3}{*}{8} & \multirow{3}{*}{\(MC_{jl}\) (\(\$/\)unit)} & & \(-50\) & \(-1.45\) & \multirow{3}{*}{No effect} \\  & & & \(-25\) & \(-0.72\) & \\  & & & +25 & +0.72 & \\  & & & +50 & +1.39 & \\ \hline \multirow{3}{*}{9} & \multirow{3}{*}{\(CC_{jl}\) (\(\$/\)unit)} & & \(-50\) & \(-0.78\) & \multirow{3}{*}{No effect} \\  & & & \(-25\) & \(-0.34\) & \\  & & & +25 & +0.34 & \\  & & & +50 & +0.68 & \\ \hline \multirow{3}{*}{10} & \multirow{3}{*}{\(HC_{jl}\) (\(\$/\)unit)} & & \(-50\) & \(-1.34\) & \multirow{3}{*}{No effect} \\  & & & \(-25\) & \(-0.67\) & \\ \cline{1-1}  & & & +25 & +0.67 & \\ \cline{1-1}  & & & +50 & +1.39 & \\ \hline \hline \end{tabular}
\end{table} 
Table 13: Sensitivity analysis of the key parameters of the production model. feasible. LCOE for solar PV overcome the impact of the initial investment. The policies of government play a vital role for greater adoption of solar systems by providing incentives and policies to achieve long-term objectives for sustainable development. Customers are also required to prefer sustainable products made up of clean energy technology for supporting the government to meet energy targets. In addition, the application of MQL at the process level of machining is also vital for sustainable machining. Optimal production cost, carbon emission, and cost of energy using the WGP technique ensured that the proposed goal-oriented model is significant for suppliers and manufacturers to achieve sustainable production in terms of MQL and renewable energy, which is a step towards sustainable supply chain management. Economically, there is a little difference between the cost of PV-based energy and other renewable energy. The costs of energy generated from renewable energy are going down each year and are cost-effective for long-term manufacturing systems. Research is also required in order to develop a tool for the evaluation of different energy technologies on the basis of LCOE. Warehousing activities in the inventory and storage system are also required to be more efficient on the basis of energy consumption to minimize the carbon emissions. Research work is further required to minimize the resources (material and energy) for the installation and setup activities of PV system.