As time period workers are in a role and especially a site, the systems and culture of learning, interacting and gaining knowledge must change. This happens with the knowledge and learning coming from this system as the worker requires and prepares for executing a task, vs tradition class / face to face sessions.
Operations teams in a broad range of manufacturing have discovered that the workforce, especially operators, are changing jobs more frequently. This challenge has become more important than the “aging workforce”, although this also contributes to the acceleration of turnover. There must be a strategy which effectively trains operators faster than their turnover.
Operations teams in a broad range of manufacturing have discovered that the workforce, especially operators, are changing jobs more frequently. This challenge has become more important than the “aging workforce”, although this also contributes to the acceleration of turnover. There must be a strategy which effectively trains operators faster than their turnover.
One part of training best practices is to continue the
training throughout the operators’ work term, such as summarized in the
following diagrams:
The right-hand diagram summarizes some amount of
acceleration in benefits, where OTJ is on-the-job training. While this acceleration appears to be
attractive, this acceleration isn’t enough – the time to profitability is still
several years. So an additional strategy
is necessary, as shown in the following diagram:
The above diagram describes a strategy of acceleration:
instead of focusing on the basics, the training focuses on the dynamic
aspects. This means that the operators
are trained as early as possible on “advanced” topics.
The power generation industry has developed a measure of
operator excellence called “error free”.
It is a measure where loss of production or damage to equipment was
identified with operator errors. During
the last 7 years, power generation companies have demonstrated up to 6:1
acceleration in achieving “error free” status.
The technical change in the training simulators is focused
on simulating the dynamic aspects such as weather, supply chain demand and
changes in raw materials.
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