This twenty page Guide is a comprehensive reference document that provides guidance to both new and experienced Maintenance & Reliability professionals who are looking for a roadmap to world class performance. It also encompasses the subject areas to be mastered by a Certified Maintenance and Reliability Professional (CMRP) and serves as a valuable reference tool in preparing to take the CMRP exam.

This comprehensive 254 page developed by the SMRP Best Practices Committee for the purpose of standardizing how maintenance and reliability professionals measure and calculate common (and not-so-common) key performance indicators, provides the necessary tools for measuring and comparing performance using consistent measuring systems. This compendium of best practice metrics offers: 67 standard metrics (including 29 metrics which have been harmonized with the European Federation of National Maintenance Societies (EFNMS), 6 Guidelines that provide additional information or further clarification of component terms used in SMRP Best Practices, Glossary contains standard definitions for terms used in SMRP’s metrics.

When a company wants to compare maintenance and availability performance internally or externally, they need a common platform in terms of predefined indicators or metrics so that they can compare apples to apples. Comparison of metrics when the bases of calculation are not the same is a frustrating non value-added activity. This challenge has been met by SMRP (Society for Maintenance & Reliability Professionals) and EFNMS (European Federation of National Maintenance Societies vzw). These two maintenance organizations conducted a joint effort to compare and document standard indicators for maintenance and reliability performance.

The Work Sampling Guide gives the user a cookbook approach to applying a proven Industrial Engineering technique without having to be an IE. Careful adherence to the Guide will give you valuable understanding of the way your maintenance team spends its day. Opportunities for boosting their output are revealed. The impact of subsequent changes in your maintenance systems can be measured with statistical certainty.