14.04.26 (inclusive)

Carrying out research and development work on the development of an intelligent dispatching system at the Zhomart, Nurkazgan and SHK mines.Vostochnaya Sary-Both Zhilandinsky mines of Kazakhmys Corporation LLP

Finished product

R&D Tasks

Extraction and processing of solid minerals

Industrial Safety

Software/ IS

The lack of a single digital platform combining operational production management and industrial safety systems

● Percentage of replacement orders completed on time, % (expected to increase after implementation); ● Reduction of the average deviation from the planned volume of work (tons/meters of penetration) relative to the baseline level before implementation; ● Reducing the time for the procedure of issuing and closing work assignments by at least 50% is measured by reducing the time interval from filling out, issuing and signing work assignments, by automating job directories, tasks and integration with directories of related systems. ● Reducing the time of inefficient work (loss of working time, unjustified movement) during a shift by at least 10% - achieved by monitoring arrival to the workplace, timely descent to the mine, start time, etc.; ● Reducing the time for a dump truck trip by at least 5%, increasing the utilization rate of equipment by at least 5% - achieved by monitoring empty downtime, timely descent, start of work, etc.; ● Increase in mine productivity by at least 1%, by increasing equipment productivity, reducing flight time, increasing the number of flights per shift and reducing empty equipment downtime; ● Increase compliance with technological routes to 80-98%; ● Reducing the number of cases of misunderstanding or incorrect execution of assignments (due to clear wording and confirmation of receipt of the assignment by each employee in the system); ● Team productivity growth: a key KPI calculated as the ratio of the actual completed volume to the planned one. This indicator is expected to increase by 3-5% due to more transparent work organization and operational control.; ● Indirect effects are additionally taken into account: saving paper media (switching to electronic tasks reduces the printing of forms), improving the accounting of working hours and downtime. ● Improving the efficiency of detection and registration of safety violations. The system will ensure that all recorded deviations from the regulations are fully accounted for, creating a basis for analyzing and eliminating system problems. A significant increase in the number of documented violations is expected due to the digitalization of the registration process. ● Reduction of the average reaction time to an incident – from the moment a dangerous situation is detected to the beginning of its elimination. It is expected to decrease, for example, from ~30 minutes to ~10 minutes on average due to the instant notification of those responsible through the system. ● Reducing the recurrence of the same violations through systematic analysis and staff training. For example, if there were 10 cases of non-use of personal protective equipment (PPE) in the first quarter, then after the introduction of the system and preventive measures in the second quarter there should be no more than 2-3 such cases. ● Dynamics of the LTIFR indicator (Lost Time Injury Frequency Rate, disability injury rate). It is assumed that improving the processes of fixing and eliminating risks will lead to a steady reduction in injuries by 10-15% within a year after the introduction of the system (taking into account other conditions). ● The level of employee engagement in ensuring safety: measured by the number of risk reports that employees independently contribute through the system. An increase in this number will mean an increase in staff awareness and trust in the system (an important indirect effect reflecting the formation of a culture of "zero injury"). ● Increase the coverage of workplace inspections by 5-10% by monitoring and monitoring compliance with control and preventive maintenance schedules; ● Reduction of the time for elimination of violations by 5-10% due to monitoring and control of the time for elimination of violations; ● Reduction of repeated violations by 5-10% due to the analysis of violations by sites, personnel and workplaces. ● Reduction of the average response time to an incident (from the moment the event occurs to the beginning of actions to localize it). The target is a reduction of at least 10% relative to the baseline (for example, from 10 minutes to 9 minutes or less). ● An increase in the proportion of emergencies localized at an early stage without serious consequences. For example, previously, when there was smoke underground, information reached the dispatcher from the workers after a few minutes, now the system alarms instantly and allows evacuation to begin immediately – as a result, no one was injured. Statistically, this criterion can be reflected as the absence of serious accidents in cases where the system issued warning signals. ● Reducing the workload and stress factor for dispatchers. An indirect criterion of effectiveness is that a good automated system removes some of the routine tasks from the operator: previously, the dispatcher spent time filling out logs, calling those responsible, and collecting information manually, but now these functions are automated. Ideally, one dispatcher with the new system will be able to do the amount of work that previously required two people (optimizing staff or freeing up time for analytical work). ● Improved coordination and awareness of related services. For example, the reduction of equipment downtime due to organizational reasons (waiting for permission, late transmission of information) can be partly attributed to the introduction of a centralized control room. This effect will be reflected in performance indicators (increased output, reduced unplanned shutdowns).

Solovyov A.N.