en.Wedoany.com Reported - Experts at the warehouse logistics complex of the Ulan-Ude Aviation Plant (U-UAZ) have developed and launched a key performance indicator system based on Axelot WMS, aimed at enhancing employee work transparency and warehouse management efficiency. An Axelot representative disclosed this information to CNews.
Founded in 1939, the Ulan-Ude Aviation Plant primarily produces the Mi-8/17 series helicopters developed by the Mil Moscow Helicopter Plant. The enterprise also manufactures the new modernized Mi-171A2 helicopter, a key model in the medium-range helicopter series of the Russian Helicopters holding company.
For large warehouses, growth in throughput often not only increases employee workload but also complicates the monitoring of operational execution. Even with a warehouse management system, managers typically lack a clear mechanism to observe team efficiency in real time and quickly respond to deviations.
It was precisely this issue that was addressed at the Ulan-Ude Aviation Plant. Based on the already operational Axelot WMS (which records warehouse operation data), enterprise experts created a unified key performance indicator system. This system evaluates employee performance based on actual data, monitors compliance with operational standards, analyzes personnel workload, and forms a clear incentive structure.
As a result, managers gained a tool for data-driven decision-making, while employees received a transparent evaluation system that allows them to view not only their own results but also the indicators of their colleagues in real time. This approach strengthens discipline and initiates a self-regulation mechanism within the team.
The key to the system's success lies in the fact that the key performance indicators were not created formally but were based on actual warehouse processes. Using data from Axelot WMS enabled automation of calculations and eliminated manual information collection. At the same time, the system was embedded into the daily work of employees and managers, rather than existing merely as an analytical add-on.
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