Authored by John Clemons, MESA Marketing Committee Chair, based on an interview with Ananth Seshan, MESA Model Sub-Committee Member
MESA International is developing a new MESA Smart
Manufacturing model. It covers a lot of ground and includes chapters on the
lifecycles of supply chain, personnel, order to cash, product, production, and
The fundamental purpose of the new MESA Smart
Manufacturing Model is to be prescriptive of what Smart Manufacturing does by
providing recommendations on how people can be smart in their manufacturing
One of the chapters covers the production asset lifecycle
and how to make it smarter. Below are a few ideas that are included on this
topic in the new MESA Smart Manufacturing model.
Monitoring Asset Health
It seems that it’s always been difficult to accurately
track the health of assets in real time. People have been able to track a few
critical parameters, but have been unable to truly track all the parameters required
to get a complete picture of the health of the asset; however; thanks to smart
manufacturing, it’s now possible to get the data necessary from an asset to really
understand its health through the IIo, new sensor technology, and new device
and communications technology.
This data can then be contextualized and transformed into
information that’s extremely useful in understanding and managing the asset’s health.
This information can be made available in real time for immediate
decision-making and for historical analyses. All for the purpose of monitoring
the complete health of an asset.
Avoiding Unexpected Failures
Unplanned downtimes are always costly. They need to be
understood, predicted, and avoided if possible. The first step to avoiding
downtime is to understand the symptoms of the failures. To truly understand the
symptoms of failures, it takes a lot of data – data that hasn’t always been
available, until now.
With the technologies of smart manufacturing, the IIoT,
new sensors, and new devices and communications, it’s now possible to get the
data necessary from an asset to understand the symptoms of a failure, and to
analyze the data to get to the root cause of the failure.
Having the data and contextualizing the data, allows for
the opportunity to monitor the symptoms of known failures, perform descriptive
and predictive analyses on the symptoms, and then take actions to correct the
situation before the asset failure occurs.
Root Causes of Asset Failure
Detecting symptoms of failures is important to detecting
potential failures and preventing them from occurring, but to truly understand
what’s going on it’s necessary to get beyond the symptoms to the root causes.
Smart Manufacturing, along with the IIoT, finally
provides enough data to dig deep into the root causes of the failures. This
will lead to understanding new patterns of failures and understanding new
patterns of symptoms and the root causes of the symptoms and the failures.
Above are just a few of the highlights in the production asset lifecycle chapter in the new MESA model. The new MESA Smart Manufacturing Model is prescriptive and provides recommendations on how to be smart in manufacturing endeavors, including how to make the production asset lifecycle smarter.
Stay tuned for more from the new MESA Start Manufacturing Model.