Selection of Maintenance Strategy Using Hybrid AHP-VIKOR Approach for a Smart Manufacturing Application in Industry 4.0

Abstract

In Industry 4.0, choosing the right maintenance strategy is important for improving machine performance, reducing downtime, and ensuring smooth operation in smart manufacturing systems. This study aims to find the most suitable maintenance strategy for a customized machine-making company by using a combination of AHP and VIKOR methods. In this study, four types of maintenance strategies are considered: breakdown maintenance, time-based maintenance, condition-based maintenance, and predictive maintenance. First, the AHP method is used to decide the importance of different factors such as cost, reliability, system availability, and efficiency. Then, the VIKOR method is used to compare these strategies and rank them based on their performance. The results show that condition-based maintenance is the best option among all the strategies, as it gives a good balance between cost, performance, and reliability. This shows that modern maintenance methods are more effective for smart manufacturing systems. This study provides a clear and simple approach that can help managers and decision-makers choose the right maintenance strategy in Industry 4.0 environments.