Our goal was to get access to, extract and evaluate all data available on forklift utilization rate, and provide the company with hard facts to identify weak points in order to improve overall fleet performance and optimize the size of the fleet in a factory. To get the optimum result, we worked together with an indoor navigation and tracking company, and a data visualization 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 to determine seat occupancy, battery level and other metrics extracted from the CAN network. Once the survey confirmed that the data can be retrieved, we adjusted the firmware required for proper operation. The extracted data was transferred to the indoor module and also mounted on the forklift, which transferred it to the server of the data visualization company where the data was processed and presented.