As the employees who operate the machines are closest to production, they have extensive visibility into the shop floor. It is important to know when the machines are in run mode and when they're not - and if they are in a run mode - are they working the way they are designed to perform?

Kharadi Pune, Maharashtra, June 14, 2021: As the employees who operate the machines are closest to production, they have extensive visibility into the shop floor.

On another side, other authorities including shop floor managers as well as manufacturing engineers sometimes lack thorough visibility into the production status, how a team is working against production goals as well as overall machine utilization.

This an essential part of manufacturing. It is important to know when the machines are in run mode and when they're not - and if they are in a run mode - are they working the way they are designed to perform?

The problem here is generally when trying to conduct a downtime analysis is that manually gathered data is mostly imperfect and delayed.

Automating the accumulation of data and assuring its accuracy is not only required to conduct a successful audit but also gives a foundation for efficient decision-making that goes far beyond downtime analysis alone.

Utilizing a solution machine condition monitoring which gives manufacturers the capability to automatically capture precise machine data in real-time. Gathering data, whether it be manual or automated, is not sufficient. That data must be assembled into reports in order to be monitored.

One of the most useful reports to interpret downtime reasons is the Downtime Pareto, which will combine all the logged downtime reasons.

Split your downtime if it is started by the operator, production support, or maintenance. This will enable you to spot who is responsible for the downtime and avoid the situation. If unplanned downtime was occurred by an operator error or a series of unplanned micro stops, then utilize it to identify that behavior and better interpret what is happening.

With machine monitoring, you can better interpret what % of downtime is unplanned and notices where the data shows differences from expectations.

With the help of a machine condition monitoring system, manufacturers can follow continuous improvement initiatives knowing they have instant access to exact production data enabling them to take actionable steps to minimize downtime.

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To know the update on how to track and monitor machine downtime please visit us at: https://www.hiotron.com/how-to-track-machine-downtime/

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