Integrating Maintenance 4.0 in Manufacturing System: A Multi-Criteria Approach

The onset of the fourth industrial revolution has led to a notable improvement in the efficiency of production activities, resulting in reduced costs and optimized procedures. Nevertheless, because of technological and non-technical obstacles, maintenance - the foundation of manufacturing - has not fully benefited from its advancements. As a result, academic research has focused on using Maintenance 4.0 -The incorporation of technology from the fourth industrial revolution into maintenance systems - to maximize equipment's performance. However, there has not been much focus on integrating Maintenance 4.0 with manufacturing's sustainability requirements. This study fills this gap by providing an extensive framework. To address this problem, the study will determine how important sustainability standards are for integrating Maintenance 4.0 into manufacturing processes and will assess the sustainability quotient of different Maintenance 4.0 technologies in this regard. This study considered technical requirements, including institutional, social, economic, and environmental factors. By applying the Fuzzy Method based on the Removal Effects of Criteria (MEREC), the research identified the conditions for sustainability. Then, a Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) was used to assess seven Maintenance 4.0 technologies, such as digital twins for maintenance simulation, IoT sensor-based condition monitoring, and augmented reality for maintenance. Five manufacturing systems management experts provided their thoughts for a case study in Lagos, Nigeria, which served as the basis for assessment and validation. Significant observations were found across several criteria. Notably, sensor integration and data gathering were relatively less important in assessing Maintenance 4.0 methods, whereas scalability and upgradability emerged as essential technical requirements. Predictive Maintenance system was the most suitable system for incorporating Industry 4.0 into a maintenance system. This study's findings will support Maintenance 4.0 implementation in manufacturing systems.