Lubricant analysis is often perceived as a purely technical task, typically delegated to maintenance teams. In many KPI (Key Performance Indicator) management systems, it is merely tracked alongside equipment consumption and annual oil purchases. However, this narrow approach can lead to substantial losses in cost efficiency, productivity, and operational time.
On the other hand, implementing the ISO 55001 standard enables an organization to manage its assets—whether physical, financial, quality-related, or intellectual—in a structured, risk-based, and lifecycle-oriented manner. This comprehensive approach extends beyond maintenance activities to encompass investment decisions, performance monitoring, and continuous improvement. Therefore, our KPIs should not merely serve as a repository for raw data, such as the volume of oil changed. Instead, they must be designed to provide meaningful insights, allowing each unit to interpret and leverage the information effectively for strategic decision-making.
Oil analysis data serves as more than just a tool for fault detection—it plays a vital role in purchasing strategy, supplier selection, and operational efficiency.
By leveraging oil analysis reports, purchasing units can objectively assess supplier performance through measurable data. For instance, key parameters such as oxidation stability, metallic wear rates, and resistance to contamination in hydraulic oils across different brands can be directly compared. This approach ensures that the “price-performance” balance is evaluated not solely based on catalog specifications but through real-world application and field data. Ultimately, it ensures that the selection is based not on price but on the product’s suitability for the job.
Supplier-Based Performance Comparison
Technical teams are, of course, the primary users of analysis reports. However, the key is not merely reading numerical values but interpreting their significance within the system. For instance, a drop in viscosity may indicate water or fuel contamination rather than a simple oil-related issue. Similarly, an increase in particle count—does it point to a filtration problem or signal mechanical wear? Accurately answering these questions not only optimizes machine performance but also refines maintenance strategies.
The oil analysis process and its impact on production can be outlined in the following steps:
- Oil Sample Collection
- Laboratory Analysis
- Reporting
- Technical Assessment
- Maintenance Planning
- Production Safety
By streamlining this process, organizations can enhance decision-making efficiency, providing managers with valuable insights. The systematic evaluation of reports, combined with their presentation to upper management, enables early detection of potential failures, minimizes unplanned downtimes, ensures production continuity, and reduces the total cost of ownership (TCO) for equipment. In other words, the benefits extend beyond maintenance alone—investment decisions become more informed and sustainable. A well-interpreted oil analysis report empowers managers to proactively manage risks.
Common Language, Shared Success
Oil analysis reports establish a universal communication bridge between technical staff, purchasers, and managers. While each department assesses the data from its unique perspective, the entire team operates on the same foundation. This synergy leads to faster decision-making, cost reductions, and improved reliability.
In today’s era of “knowledge-driven success,” businesses that treat oil analysis reports not just as technical documents but as strategic roadmaps will gain a competitive edge—both operationally and in the marketplace.
