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Job Scheduling Best Practice

In a previous post I discussed why implementing "best practice" in every aspect of your organisation is not possible. Today I want to throw some light on developments that will allow you to get closer to that elusive goal.

Whether you are the job scheduler or the operations manager in your organisation, it's no secret that a decent CMMS/EAM software application makes your life much easier. In fact, I will go so far as to say that the demands on todays organisations to conform to workplace health and safety, employee safety, employee certification and training, asset repair & Maintenance, asset return management, (not to mention actually making a profit) makes a CMMS/EAM essential to a busy workshop or field service business.

If you are using a CMMS/EAM to support your activities then I recommend that you start using any metrics gathering functionality that it provides. Your team may not be ready to use the informatoin that this data provides. You may not even understand what or how the information will be of some value to you in the future. 

But gather the data anyway.

Consider this. Machine-learning algorithms are becoming increasingly common-place, and increasingly smarter. When you are ready to exploit the metrics data you have been collecting for a month, a year, or two, not only will your CMMS/EAM be able 
to scrutinize that data and provide insights into your operations, it very well maybe able to provide adaptive job scheduling based on the job metrics you have been recording.

You may be asking yourself what extra metrics should I be collecting now if I don't know what I will be looking for in the future? Read my previous blogs on this subject here, and here.

And remember this too. If your current CMMS/EAM is flexible enough to record this extra data without any significant increase in technician administration time, then who knows what insights you will be able mine from this data gold without it costing you anything!

Posted by Mark Chimes
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