
Many industrial warehousing and logistics operation teams have long faced pain points in shift scheduling for electric forklifts, such as insufficient available forklifts during peak operation hours, and a large number of forklifts staying idle for power waiting at low peak periods. The traditional scheduling mode that only relies on manual experience is difficult to adapt to dynamic and changing actual operation demands, and often causes unnecessary waste of manpower and equipment resources. By systematically collecting full-cycle battery data of electric forklifts, including real-time remaining power, single operation energy consumption, charge and discharge duration, endurance performance under different working conditions and other core dimension information, operation managers can obtain clear and objective decision-making basis without making subjective judgments to assign forklift resources for different shifts. Managers can match the estimated workload of different shifts with the corresponding battery endurance of forklifts, avoiding waste of resources caused by assigning fully charged forklifts to short shifts, and also preventing assigning forklifts with insufficient remaining power to long shifts with high-intensity work, which will be forced to leave the site for charging in the middle of the task and interrupt the overall operation rhythm. After accumulating battery data for a long time, the operation team can also summarize the average consumption rule of forklift batteries in different operation scenarios, plan the off-peak charging period in advance, arrange the charging process in the low peak of operation, completely avoid the morning, noon and evening operation peaks, and greatly reduce the overall standby waiting time. This optimization mode does not need to invest extra large hardware cost, only needs to sort and analyze the existing battery data in a standardized way, so that the improvement of operation efficiency can be observed quickly, helping enterprises reasonably control the manpower and energy cost related to forklifts. If you want to obtain a customized optimization scheme more suitable for your own operation scenario, you can contact Jianshu New Energy to get professional technical support, relevant consultation can also send email to 17399989919@163.com for docking, and BYD Forklift related battery data docking and commissioning services can also provide you with compliant guidance reference synchronously. The follow-up operation team can also dynamically adjust the scheduling rules of different cycles according to the continuously updated battery data, constantly adapt to the new operation demand brought by business growth, realize the maximum utilization of electric forklift resources, and ensure the smooth operation of the whole link.
