This course introduces a metric used to compare the ratio of craft‑wage personnel across sites and benchmark performance. Individuals will explore how Replacement Asset Value (RAV) normalizes comparisons across plants of different sizes and how the metric helps assess a plant’s standing relative to best‑in‑class facilities with high asset utilization and reliability.

This course introduces a metric that measures the total maintenance cost required to produce a unit of output for an asset, facility, or group of assets. Individuals will explore how this metric quantifies maintenance cost per unit of production over a defined period and how it can be used to monitor performance trends, compare operations, and evaluate maintenance efficiency. The course also explains how the metric can be applied at multiple levels, from individual assets to entire facilities, to support cost management and continuous improvement efforts.

This course introduces the metric that compares the value of maintenance, repair, and operating (MRO) materials and spare parts inventory to a plant’s replacement asset value (RAV). Learners will explore how using RAV normalizes inventory measurements across plants of different sizes and asset values. The course also covers how this metric supports benchmarking and cross‑site comparisons to evaluate maintenance inventory performance.

This course introduces a key maintenance metric that expresses annual maintenance spending as a percentage of a plant’s replacement asset value (RAV). Individuals will explore how using RAV in the denominator normalizes comparisons across plants of different sizes and asset values. The course also examines how this metric supports meaningful benchmarking and cross‑site evaluation of maintenance expenditures.

This course introduces Overall Equipment Effectiveness (OEE), a performance metric that evaluates asset availability, performance efficiency, and output quality to assess how effectively equipment operates when scheduled. Individuals will explore how OEE identifies major causes of performance and scheduling losses, providing a foundation for setting improvement priorities and initiating root cause analysis. The course also highlights OEE’s role as a lagging KPI within Continuous Improvement and Lean programs, emphasizing cross‑functional collaboration among operations, maintenance, and engineering teams.

This course introduces Total Effective Equipment Performance (TEEP), a metric used to evaluate how effectively an organization extracts value from its equipment and assets. Individuals will examine how TEEP incorporates utilization time, availability, performance efficiency, and quality over all hours in a given period, and why it is expressed as a percentage. The course also explains how TEEP supports the identification of production losses and provides a foundation for setting improvement priorities and conducting root cause analysis.

This course introduces Availability, a metric that measures the percentage of scheduled time an asset is actually operating or capable of operating. Also known as operational availability, this metric provides insight into an asset’s readiness to perform its intended function when required. Individuals will explore how availability is used to evaluate asset uptime, operational capability, and overall equipment readiness.

This course introduces a metric that measures the actual time an asset is actively producing a product or providing a service. Individuals will explore how this metric evaluates true run time and compares actual operating time to planned potential capacity, helping organizations understand how effectively assets are being utilized.

This course introduces a metric that measures the amount of time an asset is idle or waiting to run. Individuals will examine how this metric captures periods of administrative idle time—when there is no demand or the asset is not scheduled for production—while excluding equipment downtime and material shortages. The course also explains how the metric is used to evaluate idle time as a percentage of total time and to identify reasons for lost potential capacity.

This course introduces a metric that measures the percentage of total available time an asset is scheduled to operate during a defined time period, typically one year. Individuals will explore how this metric reflects an organization’s intent to place an asset in service and how it differs from actual operating or run time.