Our goal was to get access to, extract and evaluate all data availableon forklift utilization rate, and provide the company with hard facts toidentify weak points in order to improve overall fleet performance and optimizethe size of the fleet in a factory. To get the optimum result, we workedtogether with an indoor navigation and tracking company, and a datavisualization company.
First, we established key metrics to monitor. In the course of our task,we conducted a test run to check whether the forklift trucks can be used todetermine seat occupancy, battery level and other metrics extracted from theCAN network. Once the survey confirmed that the data can be retrieved, weadjusted the firmware required for proper operation. The extracted data wastransferred to the indoor module and also mounted on the forklift, whichtransferred it to the server of the data visualization company where the datawas processed and presented.