# A Comprehensive Digital Model Approach for Adaptive Manufacturing Systems
## 4 Discussion
\begin{table}
\begin{tabular}{c c c} \hline \hline \multicolumn{2}{c}{**(A.) Basic Characteristics**} & \multicolumn{1}{c}{**Traditional Manufacturing System**} & \multicolumn{1}{c}{**Adaptive Manufacturing System**} \\ \hline Description & Display the existing manufacturing process, its structure, procedures, and flow of materials and information. This includes static and dynamic parameters that influence its performance. & Considers flexible and dynamic characteristics. It incorporates mechanisms to adapt to changing conditions such as order variations, resource availability (production, transportation), or production strategy. The proposed model of the adaptive system focuses on simulating and testing responses to various change and uncertainty scenarios. Its aim is to understand how the system behaves under different conditions and what is required to achieve adaptive manufacturing. \\ \hline \multicolumn{2}{c}{**(B.) Goals**} & \multicolumn{1}{c}{**Traditional Manufacturing System**} & \multicolumn{1}{c}{**Adaptive Manufacturing System**} \\ \hline Description & The objective of this model is to analyze and optimize the current production process based on existing parameters and data. & The proposed model of the adaptive system focuses on simulating and testing responses to various change and uncertainty scenarios. Its aim is to understand how the system behaves under different conditions and what is required to achieve adaptive manufacturing. \\ \hline \multicolumn{2}{c}{**(C.) Adaptability and**} & \multicolumn{1}{c}{**Traditional Manufacturing System**} & \multicolumn{1}{c}{**Adaptive Manufacturing System**} \\ \hline Description & The model of the current system is often used to analyze efficiency, identify weaknesses, and plan improvements in the existing system. & The proposed model of the adaptive system is capable of automatically responding to real-time changes and optimizing its operations according to current conditions. \\ \hline \multicolumn{2}{c}{**(D.) Benefits**} & \multicolumn{1}{c}{**Traditional Manufacturing System**} & \multicolumn{1}{c}{**Adaptive Manufacturing System**} \\ \hline Description & Traditional systems are generally easier to set up and manage, often requiring lower initial investment. & Adaptive systems can quickly adjust to production changes, optimizing efficiency through real-time data monitoring. \\ Description & These systems excel at high-volume production of a single or limited range of products, with workers often specializing in repetitive tasks for increased efficiency. & These systems are highly scalable and can easily adapt to produce customized products without halting the entire production line. \\ \hline \multicolumn{2}{c}{**(E.) Type of system**} & \multicolumn{1}{c}{**Traditional Manufacturing System**} & \multicolumn{1}{c}{**Adaptive Manufacturing System**} \\ \hline Example & Job shop, mass production systems, batch production, fixed position layout, cellular manufacturing. & Reconfigurable manufacturing system, competency islands, modular manufacturing systems. \\ \hline \hline \end{tabular}
\end{table} 
Table 10: Differences between digital model of adaptive manufacturing system and traditional manufacturing system. In contrast to competency islands, reconfigurable production systems prioritize the ability to quickly reconfigure the manufacturing setup to meet changing product demands. While they share the flexibility of competency islands, their broader scope of adaptability presents challenges in coordination and synchronization. The proposed methodology's emphasis on digital modeling can be applied to reconfigurable systems, allowing manufacturers to simulate different configurations and evaluate their performance before implementation. Unlike traditional models, which primarily rely on static simulations, the novelty of this article lies in its proposed digital model that offers dynamic simulation capabilities.