Harnessing IOT Data for Better Fleet Maintenance
Filed under: Technology
As more and more warehouses and forklifts become internet capable, owners and operators have a multitude of data at their fingertips that can be utilised to make better informed decisions.
Available data can assist in decision making in areas relating to employee performance, forklift utilisation and the health and safety status of fleet units.
This week’s blog looks at how IOT connectivity and data when utilised through Adaptalift’s Forktrack fleet management system can assist fleet managers in better utilising and maintening their fleet.
Forklifts and other materials handling units are the backbone of most supply chains, when forklifts stop working the supply chain slows significantly or stops entirely.
Fully connected service offering such as Forktrack contribute to the reduction in unplanned downtime and the mean time to repair (MTTR).
The ability to monitor forklift warnings and key performance and health indicators such as battery life allows for proactive maintenance and repairs to be carried out.
Being able to identify a potential issue in its infancy and repairing it, eliminates costly extended downtime to rectify large scale issues.
An example of connected service offering reducing downtime is all Adaptalift technicians are equipped with portable tablets with all service job information at their fingertips.
This allows technicians to know before attendance any problems, enabling them to conduct prior problem solving and planning, whilst also ensuring they bring the correct parts and tools needed for the repair shortening MTTR.
The ability to refer to historical service data allows operators and servicing technicians to anticipate and eliminate potential problems before they occur or become large scale issues.
This turns maintenance from reactive to proactive.
For example if historical data shows a particular part wears out on a unit after a certain operating timeframe, a replacement part can be ordered ahead of time and the part replaced when the operating timeframe has been reached resulting in less downtime for the unit due to long ETA times for replacement parts to arrive.
Properly Aligned Maintenance Schedules
The majority of planned maintenance cycles are scheduled on some form of calendar basis such as quarterly, biannual or annual maintenance shutdown periods.
Depending on fleet size it may be difficult to align all unit maintenance schedules.
IOT connectivity and real-time data allows for maintenance schedules to be better aligned to business cycles.
For example if historical data shows certain units are being used heavily during busy periods such as the Christmas holiday season, servicing and maintenance of these vehicles can be scheduled for these units to occur leading up to the busiest period ensuring any issues are resolved beforehand enabling the unit to operate at maximum capacity during the busiest times.
Visible Service Status
With some fleet sizes numbering into the hundreds of units it can be near impossible to keep track of all works being carried out across the fleet.
IOT connectivity and real-time monitoring allow fleet owners and operators visibility across all service activity. It provides answers to questions such as has a technician been on site? Has the issue been resolved?
Service providers such as Adaptalift are able to share servicing information, scheduling and completion with clients as work is progressively completed on units.
Fleet management software such as Forktrack harness internet connectivity to provide fleet operators with a connected experience regarding servicing and maintenance of their units.
The data available provides a number of benefits that ensure fleet units are functioning optimally when they are needed most.
Did you find this blog post useful?
Previous entry: 5 Key EWP Safety Considerations