How Training Reduces Variability in Human Reliability

In reliability engineering, attention often skews toward equipment failures, overlooking the human factor that can introduce significant variation. Human reliability—the probability that an individual will complete a task successfully within the allotted time—depends on how well their mental model aligns with the current operating context.

When a system evolves—such as shifting a pumping system from fresh water to viscous slurry—operators must understand the new dynamics. Even if the task sequence remains unchanged, the underlying physics and risk profile differ, necessitating a new mental model to avoid overload and equipment damage.

Training bridges that gap. By explicitly comparing the old and new operating conditions, it helps technicians discard outdated assumptions and adopt the correct procedures.

In a lean manufacturing environment, continuous improvement is the norm. Standards for operators and maintenance staff evolve as better practices emerge, so training programs must evolve in tandem.

Below are four proven steps to align your training with system changes and minimize human‑error variation:

1. Include a job‑task analysis (JTA) in the pre‑commissioning checklist for every improvement or installation.
2. Update the JTA to compare the current asset use with the future application, highlighting the new skills required.
3. Establish an audit process that verifies whether operators have shifted their mental models to the new operational context.
4. Incorporate regular evaluations of the asset’s function into the training cycle.

For guidance on managing assets by criticality, contact Life Cycle Engineering at www.LCE.com.