Application of SAP Plant Maintenance (SAP PM) Techniques to Evaluate and Compare Effectiveness of Various Maintenance Strategies on Industrial Machines

Abstract

In this study, a novel maintenance approach known as SAP plant maintenance (SAP PM) technique is used to evaluate and compare various maintenance strategies effectiveness used in industrial machinery. Most modern industries rely on reactive, preventive, predictive, and condition-based maintenance approaches for operational cost reduction, and increase equipment reliability. At present, selecting the strategy that is most efficient remains a problem without data-driven tools for evaluation. The SAP PM technique collected, managed, and analyzed maintenance data such as equipment downtime, maintenance cost, mean time between failures (MTBF), mean time to repair (MTTR) and entire equipment effectiveness (EEE). The aforementioned maintenance strategies were implemented within SAP PM framework, and the study systematically compared their performance across industrial machines. By conducting quantitative analysis using reliable maintenance records and SAP-generated reports to ascertain equipment improvements in reliability, availability, and cost efficiency. The result proved that SAP PM guaranteed standardized maintenance planning, real-time monitoring, and performance evaluation, for which end users can identify the most maintenance strategy that is effective for a specific type of machine under specific operating condition. The key findings provide practical knowledge for maintenance managers and engineers, highlighting the key role of SAP PM as a decision-support tool for maintenance optimization.