## 3 Analysis of Literature Resources
\begin{table}
\begin{tabular}{c c c c c} \hline \hline
**ID** & **Reference** & **Aim of Paper** & **Research Gap** & **Industrial Sector** \\ \hline \multirow{3}{*}{R21} & \multirow{3}{*}{[PERSON] et al. [34]} & \multicolumn{2}{c}{Conduct SLR on application of} & \multirow{3}{*}{Insufficient research on energy} & Manufacturing \\  & & & AI to solve production & management considerations in & (production \\  & & & industrial settings & Job Shop Scheduling Problems & scheduling) \\ \hline \multirow{3}{*}{R22} & \multirow{3}{*}{[PERSON] et al. [35]} & Address Job Shop Scheduling & Gaps in understanding how RL & \\  & & Problems, considering energy & can be effectively applied to & Manufacturing (job \\  & & management using parallel & minimize makespan in & shop scheduling) \\  & & Reactive TS & assembly processes & \\ \hline \multirow{3}{*}{R23} & \multirow{3}{*}{[PERSON] and [PERSON] [36]} & Minimize makespan in & Need for empirical & Manufacturing \\  & & two-stage assembly additive & validation of AI and & (additive \\  & & manufacturing using RL-iterated & ML applications in reshaping & manufacturing) \\  & & greedy algorithm & manufacturing processes & \\ \hline \multirow{3}{*}{R24} & \multirow{3}{*}{[PERSON] et al. [37]} & Discuss how AI and ML reshape & Limited research on robust & \\  & & manufacturing processes in & scheduling techniques in hot & Smart manufacturing \\  & & smart factories & rolling production environments & \\ \hline \multirow{3}{*}{R25} & \multirow{3}{*}{[PERSON] et al. [38]} & Develop robust scheduling & \multirow{3}{*}{Need for more comprehensive} & \multirow{3}{*}{Steel manufacturing} \\  & & method for hot rolling & methodologies that integrate & \\  & & production using & smart production planning and & \\  & & local-search-enhanced & control systems in 14.0 & \\  & & ACO algorithm & & \\ \hline \multirow{3}{*}{R26} & \multirow{3}{*}{[PERSON] et al. [39]} & \multirow{3}{*}{Design and develop smart} & Lack of detailed guidance on & \multirow{3}{*}{Semiconductor} \\  & & Design and develop smart & & \\  & & production planning and control & requirements—such as & \\  & & systems in 14.0 era through & scalability, flexibility, and & \\  & & methodology and case study & real-time responsiveness—into & \\  & & & low-level architecture & \\  & & & components (like algorithms) & \\ \hline \multirow{3}{*}{R27} & \multirow{3}{*}{[PERSON] et al. [40]} & Apply data mining and & Limited application of data & \multirow{3}{*}{Fashion industry} \\  & & augmented reality to enhance & mining and augmented reality & \\  & & decision-making in production & techniques in fashion industry & \\  & & decision-making in production & for decision-making processes & \\ \hline \multirow{3}{*}{R28} & \multirow{3}{*}{[PERSON] et al. [41]} & Predict performance indicators & Gaps in understanding of & \multirow{3}{*}{Automotive/industrial} \\  & & with ANNs for AI-based online & potential of ML in optimized & \\  & & scheduling in dynamically & production planning using & assembly \\  & & interconnected assembly systems & hybrid simulation & \\ \hline \multirow{3}{*}{R29} & \multirow{3}{*}{[PERSON] et al. [42]} & Investigate potential of ML in & Need for empirical validation of & \multirow{3}{*}{Discrete manufacturing} \\  & & optimized production planning & ambient intelligent-based & \\  & & with hybrid simulation & decision-support systems in & \\  & & production planning and control & \\ \hline \multirow{3}{*}{R30} & \multirow{3}{*}{[PERSON] et al. [43]} & Develop intelligent-based & Limited understanding of cycle & \multirow{3}{*}{Textile manufacturing} \\  & & decision-support system for & time prediction in textile & \\  & & production and control planning & manufacturing using Neural & \\  & & Networks (NNs) & \\ \hline \multirow{3}{*}{R31} & \multirow{3}{*}{[PERSON] and } & \multirow{3}{*}{Predict cycle times in textile} & Gaps in energy estimation & \multirow{3}{*}{Textile manufacturing} \\  & & manufacturing using ANNs & techniques and production & \\  & & manufacturing using ANNs & scheduling methodologies for & \\  & & job shops using ML & \\ \hline \multirow{3}{*}{R32} & \multirow{3}{*}{[PERSON] et al. [45]} & Estimate energy consumption & Limited research on application & \multirow{3}{*}{Job shop} \\  & & and production scheduling in & manufacturing lead times, & \\ \cline{1-1}  & & job shop environments using ML & particularly extrusion tools & \\ \hline \hline \end{tabular}
\end{table}