Increasing productivity while preventing machine downtime

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Hazel
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Increasing productivity while preventing machine downtime

Beitrag von Hazel » 05.01.2022, 19:27

When it comes to collecting machine data and delivering compressed information, the aucobo system focuses on delivering information to the right people at the right time.


You will learn how this is implemented in practice and how it contributes to the success of lean manufacturing in the sections that follow.


It is important that the maintenance staff does not receive any distracting information, such as Dimensional Container Loading Supervision, and instead only receives the information that they require.

An engineer in charge of maintenance can use the blocking function to set his or her status to "Do not disturb," which means that all incoming calls or messages will be automatically forwarded to another engineer in charge of the same or similar tasks.

If this colleague has also activated the blocking function, the aucobo system will proceed through a predefined sequence in order to reach the next most qualified candidate for the position.

Groups of back-ups

If everything else fails and the system is unable to locate anyone, a backup function is activated: the backup groups.

It is possible that a group of electricians will be unable to be reached because they have all set their status to "do not disturb," in which case the notification will be sent from another area within the system, depending on the default setting.

These functions not only ensure that a task or call is attended to, but they also assist maintenance staff, electricians, and other professionals in performing their jobs in a more concentrated and therefore more effective manner.

Dashboard for data and analysis

And to top it all off, all of this information can be accessed through the aucobo dashboard.

The production manager can see on a clear dashboard, for example, the amount of time it really took to solve a specific problem, which can help him figure out how he can increase overall productivity.

Also visible are response times, the time it took to deliver the message to its intended recipient, and the time it took from accepting the task to resolving the issue.

As a result of using this tool, inspections companies becomes clear where there is a shortage of manpower and where efficiency can be improved by optimizing communication, changing shifts, and so on.

These data are typically anonymized so that they cannot be linked to specific employees.

Maintenance that is proactive rather than reactive is essential for increasing machine productivity.

Maintenance is a time-consuming and complicated process, especially in large organizations. There are several types of maintenance, with the following two types being the most commonly encountered in manufacturing operations: preventative and predictive maintenance.

TPM (Total Productive Maintenance) is an abbreviation for Total Productive Maintenance.

TPM, or Total Productive Maintenance, is a term that refers to maintenance that is planned in advance.

A method of physical asset management that focuses on maintaining and improving production machinery in order to lower a company's operating costs is known as preventative maintenance.

This is relatively simple because the appropriate personnel can be planned in advance based on the reasons for and locations of the downtime.

Machine downtime that was not anticipated

Performing maintenance in the event of unplanned machine downtimes can be more challenging. Assume that something goes wrong in a manufacturing facility, causing a machine to come to a complete stop without any warning or reason.

This is a significant cost driver and quality inspections companies service for businesses, primarily due to the fact that it takes a long time to notice, identify, and correct the issue.

Workers typically attempt to restart a machine as soon as it comes to a halt. This is done in order to reduce downtime.

You are attempting to resolve the immediate problem, but you are not addressing the underlying problem.

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