The management of preventive maintenance on forklifts and heavy equipment is still a challenge due to the excess of manual controls. See how to gain process efficiency through simple-to-implement automations.
The precise value of the hour meter is essential for the management of maintenance processes, and its collection can be done manually with paper records, spreadsheets, application or using sensing and telemetry.
Digital capture is much more efficient and reliable, even more so when received by integration. But the big question is: How should the data collected from the hourmeter be used to maximize the management of maintenance plans?
Preventive maintenance based on the use of the equipment occurs in cycles, and for each verification item, an activity to be performed is defined, such as: scheduled replacement of parts, inspections for corrections, cleaning, lubrication and adjustments. The frequency of the activity varies individually by item, for example, “grease chain every 250 hours” or “change air filter every 1,000 hours”. With this, the technician needs to know exactly which preventive activities should be performed on the equipment according to the hour meter or maintenance cycle.
Example of fleet preventive maintenance control - per cycle of 500 hours
To guarantee this process, it is necessary to carry out the planning of work orders based on the projection of each preventive maintenance cycle by equipment. This information is also extremely important for the supply and maintenance area to guarantee the availability of parts, supplies and labor for the execution.
Now imagine a forklift rental company with a park of 1,000 machines leased to different customers in different locations; considering the different maintenance plans, which normally contain around 140 items per type of equipment, the amount of controls is quite expressive.
For the machine park, we would then have 140,000 verification items, each one being managed with a different status in the equipment, for example, fleet air filter 3011: "last preventive change of 11,000h", "610 hours left to next exchange“ and the log of detected problems.
All this information collected manually with the help of spreadsheets, paper and digital checklists, without a centralized orchestration in a single system, generate waste and process errors, which affect the availability of equipment.
It is clear that the correct capture of the hour meter is extremely relevant to manage maintenance processes. However, in order to efficiently manage the entire process, it is necessary to go much further, and to automate monitoring routines, planning, directing information to technicians and generating indicators.
That's why NAMOA developed a solution considering the end-to-end process hourmeter integration and maximized automations in the following way:
1. Hourmeter collection
a. Collection through mobile with validation rules
b. Integration with sensors and telemetry
c. Projection calculation
The hourmeter value is validated
to send to the Namoa cloud
2. Smart maintenance plans integrated with hour meter reading
a. Inclusion of the manufacturer's maintenance plan
b. Management by cycle (days or hours)
c. Parts and supplies programmed per cycle
d. Individual cycle per check item
3. Service Order with hour meter capture and integrated maintenance plan
a. Direction of activities by cycle and pending issues
b. Suggestion of inputs per verification item by periodicity expiration
c. Equipment status always up to date
d. In-app history query
4. Monitoring
a. Cycle status per machine
b. Projection of preventive measures and parts based on the daily average of use
c. Monitoring dashboards customizable by the user
Ensure your asset availability and reliability rates and at the same time bring lean management to your business. The ROI rates of using Namoa software are very interesting. By contacting one of our specialists, we will make a quick diagnosis to help you with your decision.