Implementation of Redi Fatigue Management System at OK Tedi Mine

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Significant incidents related to the operation of vehicles and mobile equipment at OK Tedi Mine prompted the exploration of more effective fatigue management controls. The Redi Fatigue Risk Management Process, utilizing wearables and personalized fatigue prediction, aims to reduce fatigue-related incidents and enhance productivity. A trial involving high-risk drivers and operators will help identify gaps for change management prior to full implementation throughout the mine's operations.


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  1. Intro 50% of the significant incidents (SI) and the recent fatal incident this year relating to operation of LV and Mobile Equipment. Analysis from 2022 LV and Mobile Equipment SI reported that the top 3 contributing factors were I. service and maintenance of LV and Mobile Equipment II. At-risk driving behaviours and, III. Fatigue 39% of top 3 contributing factor related directly to Fatigue. OK Tedi has in place controls to managing Fatigue at workplace. However, more reliable effective controls needs to be explored to have a significant impact to continuous trend.

  2. Redi Fatigue Risk Management Process Fatigue Risk Management Software for predicting, managing and mitigating operator fatigue. I. Worker data and sleep data is collected through the use of wearables (RediWatch) by Operators. II. Data is then processed through a Biometrical Fatigue Model. III. Personalised Fatigue Predication is reported as a RediScore. Outcome Reduction in the overall Fatigue related LV and Mobile Equipment incidents, and productivity at workplace. I. Leadership (ELT + Safety) use insights to reduce fatigue reduction initiatives II. Supervisors responsible use data to plan and intervene on risks III. Operators receive on wrist Fatigue Alerts & daily Fatigue forecast

  3. Redi Fatigue Risk Management Process Flow https://fatiguescience.com/

  4. Redi trial for OK Tedi High Risk Drivers 3 month trial period 01st May 31st July 2023 (coincide with NMSW theme on Mobile Equipment Safety ) Target workgroups I. High Risk Drivers (60) a. Bus Drivers (Logistics), b. Frequent Highway Users (Roads and Engineering and StarWest) II. Mine Mobile Equipment Operators (60) 86% ($997,595.00) of total associated cost damage of LV and Mobile Equipment from Mine. Volunteer - based trial and consent form to be signed prior to participating. Outcome: To identify gaps/issues and address as part of change management prior to implementation with rest of the high risk drivers throughout OTML Operations.

  5. Redi trial plan for OK Tedi Deliver in dept training with your data Track Review and adjust Collection of worker data & One time survey Pair, set up and deploy devices Define objectives and success criteria Integrate workflows into existing processes Define and Configure Redi Define and Configure Redi Establish Project Team Define Supervisor workflow Define Supervisor workflow Define Users / Key stakeholders Operators Supervisors ELT + Safety ICT HR Create awareness Create awareness Onboard Users Deliver initial training to supervisors Create awareness Define roles and responsibilities Create awareness

  6. Redi Benefits for OK Tedi Monitoring and management of fatigue at workplace. Accountability and responsibility at all levels. Reduction in fatigue incidents, increase productivity and profit . Potential for other existing reactive devices done away with. Assessment for risk to new or changed rosters can be predicted. Working or environment conditions can be improved on. Worker privacy is respected

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