What is maintenance, really?
Maintenance is the set of activities that keep machines, equipment and installations capable of doing the job they were bought to do — and repair is only what happens when that fails.
A guide for maintenance managers and technical teams
The definition
In English the discipline is called Maintenance; in Persian it is نگهداری و تعمیرات, usually shortened to نت. The order of those two words matters. The foundation is نگهداری — keeping the equipment healthy — and تعمیرات is what you resort to when keeping it healthy did not work.
A modern working definition: planning and performing activities on equipment so that it continues to operate and produce a product or service of the expected quality, without unplanned interruption. Everything else in this field is a method for doing that more cheaply or more reliably.
Maintaining plant equipment
Plan the work
Schedule maintenance deliberately rather than reacting. A plan that prevents a line stopping protects the capital tied up in that line.
Clean and service properly
Cleaning and routine servicing are not trivial. Use materials compatible with what the equipment is made of.
Analyse the data
Review operating data to determine which equipment actually needs attention, rather than servicing everything on the same cycle.
Train the operators
The people running the machine daily notice the change in sound or vibration first. Training turns that into a reported observation.
How to improve your maintenance planning
Set the right frequency
Base the interval on how much and how hard the equipment is actually used — not on a number inherited from a manual.
Move work to preventive
Use operating data to schedule work before failure rather than after, so the stoppage happens when you choose.
Use condition data
Sensors and IoT devices report temperature, pressure, flow and vibration continuously, which turns guesswork into evidence.
Use a CMMS
A maintenance management system plans by frequency and need, stores the history, and makes the analysis possible at all.
Why the data has to be structured
Collecting equipment data by hand in a notebook is better than nothing, but it cannot be analysed. To predict failures you need the history in a structured form — which machine, which failure mode, which cause, how long it was down, what it cost.
That is the practical argument for a database and a standard format rather than spreadsheets: not tidiness, but the ability to ask which equipment fails most, which cause repeats, and whether the interval you chose was right.
Want help structuring your equipment data?
We provide free training and consulting on building the equipment tree and coding system before implementation begins.
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