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Engine hours, stops, position and the shift summary of every harvesting machine, coming out of the woods over the DG satellite network where there is no tower. Mechanical availability and operational efficiency calculated from data read from the machine, not from a timesheet filled in by hand at the end of the day.
The machine already produces data. What is missing is getting that data out of the harvesting site the same day and turning it into a KPI without anyone typing.
The harvester’s on-board computer records production in the StanForD 2010 standard, maintained by the Swedish forestry research institute Skogforsk and adopted by the major manufacturers. The data exists; the bottleneck is bringing it from the woods to the office.
Mechanical availability is the share of time the machine was fit to work. Calculated from hours read from the machine, it stops being the optimistic average on the timesheet and starts pointing at which machine and which fault hold the crew back.
Short logs, with harvester and forwarder inside the stand, or whole trees, with feller buncher and skidder and processing at the roadside. What to measure changes with the system, and the telematics is designed for yours.
Every machine and every truck becomes a line on the dashboard, with time, place and status. The KPI comes out on its own at the end of the shift.
Hour meter read from the machine or from one of our sensors, separating engine on from machine working when the equipment provides the signal.
Mechanical availability, utilization rate and operational efficiency per machine, shift and crew, with the same formula every day.
Stops with time and place, classified by the operator with a button or by maintenance on the dashboard. The history shows the fault that holds the crew back the most.
Truck position and cycle: queue at loading, travel time and queue at the mill. It is where harvesting meets logistics.
Where there is no tower, the event goes up over the DG satellite network in minutes, just as over the cell tower. Stops and end of shift show up on the dashboard without anyone going to fetch them.
REST API for your forest planning system or ERP. Reading each brand’s production file is assessed in the survey.
Illustrative example. Over the DG satellite network, each event reaches the dashboard in minutes, stamped with the time it happened.
Harvesting system, makes and age of the machines, what the on-board computer already records, where there is signal and how machine hours are logged today.
One crew equipped, with the KPI calculated side by side with the current timesheet for a month. It only moves forward if the numbers add up.
The remaining crews, log hauling and the dashboard per crew and per machine, with alerts configured.
Support from the team that installed it and a monthly KPI review with the harvesting and maintenance teams.
We are honest about what is ours. The harvester and its on-board computer belong to the manufacturer, and so does the production file. What we do is bring the data out of the woods and turn hours and stops into KPIs. Reading each brand’s production file is an integration assessed in the survey, not a promise on a web page. And over the DG satellite network, the event arrives in minutes, even from the most isolated site.
Hours, position and stops work on any machine, with our own sensor when the machine does not provide the signal. Reading the on-board computer’s internal data depends on the make and model, and is assessed in the survey.
Minutes, with or without cellular signal: where there is a tower, through the carrier; at a harvesting site with no signal, over the DG satellite network. Each event carries the time it happened, and the shift KPI closes on its own.
The minimum: classify the stop, with a button or on the dashboard. Hours, position and start and end of shift come out on their own.
Yes, and it helps both sides: the contractor proves the machine’s availability and the forest company pays based on data.
An answer from an engineer, not a bot. Tell us the makes and how machine hours are logged today.
References: StanForD 2010 (Skogforsk) · definitions of mechanical availability, utilization rate and operational efficiency from the forest harvesting literature.