# Leveraging Industry 4.0 for Sustainable Manufacturing: A Quantitative Analysis Using FI-RST
###### Abstract  
The Fourth Industrial Revolution, also known as Industry 4.0, which is the intensified digitalization and automation in industry, embraces cyber-physical systems, the Internet of Things (IoT), and artificial intelligence, among others. This study utilizes Fuzzy Integration-Rough Set Theory (FI-RST) analysis to quantify the impacts of the imperative Industry 4.0 technologies for manufacturing firms located in Fujian Province, China, namely, Manufacturing Execution Systems (MES), the Industrial Internet of Things (IIoT), and Additive Manufacturing (AM), on the sustainable development performance of firms. The findings of the study indicate that these technologies greatly improve the effectiveness of the utilization of resources, reduce the costs of operations, and reduce the impact on the environment. In addition, they have a favorable influence on social considerations, such as preserving the well-being of employees and the outcome of training programs. This research work has convincingly provided an underlying strategic adoption of these technologies for sustainability production by raising important insights that could be valuable for industry managers and policymakers, especially those seeking sustainability at the global level. industry 4.0; sustainable manufacturing; fuzzy integration-rough set theory; manufacturing execution systems; industrial internet of things +
Footnote †: journal: Applied sciences  
0000-0002-4000-0000-0000-0000-0000-0000-0000-0000-0000-0000-0000-0000-0000-0000-00000-00000-00000-0000-00000-00000-00000-00000-00000-00000-00000-0  
quantify the contribution of Industry 4.0 technologies to the sustainable development of 36 manufacturing enterprises in Fujian Province. Drawing from the work of scholars in the field [3], this study investigates how technologies like MES, IIoT, and AM can serve as key drivers for sustainable manufacturing, with a focus on improving resource efficiency, reducing operational costs, and enhancing worker safety. The findings from this research will provide valuable insights for both industry practitioners and policymakers, offering a framework for strategic decision making in the adoption of Industry 4.0 technologies aimed at achieving sustainability goals. In the production sector, the idea of sustainable growth means that future generations' chances of meeting their own needs are not sacrificed despite the present demanding production conditions. Such a consideration is paramount to manufacturing considering the enormous resources required and the tremendous effect it has on the environment. Industry 4.0 technologies feature several strengths that may be beneficial in resolving these issues, including improving the efficiency of resource use, lessening the amount of waste produced, and implementing other actions that reduce the carbon footprint. Nevertheless, while the application of Industry 4.0 technologies comes with its benefits, it also carries some risks. The technologies are so complex that it is impossible to generalize their effects on sustainability due to the all-encompassing nature of the manufacturing system landscape. On this basis, the identification of those technologies or applications that can help contribute to sustainable development is essential to safeguard investment priorities and policy formulation in this area. Literature Review: Addressing Gaps in the Application of Industry 4.0 Technologies for Sustainable Development  
The transformative potential of Industry 4.0 technologies in manufacturing and sustainability has been widely acknowledged. Technologies such as cyber-physical systems (CPS) (the relevant data are displayed in Table S1 in the Supplementary Information), the Internet of Things (IoT), artificial intelligence (AI), and big data analytics have proven to enhance productivity and operational efficiency. However, there remain critical gaps in research regarding their contribution to sustainability.