Warehouse equipment maintenance: what breaks and how to plan maintenance

It is advisable to plan maintenance of warehouse equipment based on the operating hours of each machine, the history of malfunctions and the actual load of the fleet. Spread out scheduled work over service windows to keep the required number of machines in operation at the same time. For modern forklifts and stackers, add telematics, remote diagnostics and failure prediction to the calendar. Such a system will allow you to control two key indicators: fleet availability and maintenance cost per operating hour.

Which nodes need the most attention?

The main regular works fall on the chassis, lifting mechanism, power system and electronics. For management accounting, they are conveniently divided into four groups:

• wheels and brakes - record wear, replacements and re-repairs;

• mast and hydraulics - account for chains, rollers, hoses and leaks separately;

• battery and charging system — monitor charging cycles, temperature, and history;

• Electronics - save error codes along with repairs performed.

The most valuable information appears in dynamics. If the same node regularly causes downtime, its costs over several months should be compared with the price of replacing the component or machine in order to make an informed decision about purchasing new equipment or overhauling it.

How to build a maintenance schedule without a long-term drop in performance

A rational schedule takes vehicles out for service sequentially, not in large groups. First, divide the fleet by criticality and operating hours, and then set service windows for hours of lower traffic.

For example, for 20 machines, simultaneous maintenance of two units leaves 90% of the fleet available, while five units only 75%. The rate of accumulation of engine hours also differs. A machine with 160 hours of operation per month will reach the same service threshold twice as fast as a machine with 80 hours.

Thus, warehouse equipment is maintained based on actual usage. For each machine, it is advisable to record:

• hours of downtime;

• service costs per hour;

• repeated malfunctions;

• actual usage per shift.

How predictive maintenance, AI and smart diagnostics are changing modern service

Predictive maintenance moves some of the decisions from the calendar to the data on the machine itself. Telematics collects engine hours, error codes, impacts, battery temperature, charging cycles, and other available parameters. The system sees changes in indicators before a malfunction turns into a long downtime. This allows you to plan repairs in advance, without significantly reducing the overall productivity of the fleet.

AI adds pattern analysis. The algorithm compares current telemetry with the history of a specific machine or fleet, finds atypical deviations and prioritizes inspections. Smart diagnostics can transmit the error code, time of occurrence and related parameters to a centralized service before work begins.

As a result, some interventions can be shifted to short service windows between load peaks. The technician then starts diagnostics from a specific node, without wasting time searching for the cause from scratch.

What to monitor at the park level

Four indicators are enough for maintenance management:

• share of available machines;

• hours of downtime;

• service costs per engine hour;

• number of repeated faults.

Monitor them in groups by equipment type and changes.

If a part of the fleet consistently accumulates more downtime and repair costs with the same load, this is the basis for a decision to repair, redistribute work, or replace the machine. Thus, MOT becomes a convenient tool for the head of the logistics department to manage warehouse productivity.