Operational feedback clashes with engineering data in mining. How do you reconcile the differences?
In mining, operational feedback often clashes with engineering data, creating friction and inefficiencies. Here's how you can align both for improved outcomes:
How do you handle discrepancies between feedback and data in your field?
Operational feedback clashes with engineering data in mining. How do you reconcile the differences?
In mining, operational feedback often clashes with engineering data, creating friction and inefficiencies. Here's how you can align both for improved outcomes:
How do you handle discrepancies between feedback and data in your field?
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Operational feedback has many forms. Operator feedback, Middle-management feedback and the actual numbers that tell you there is an impact on the businesses efficiencies. Numbers don't lie, yet they also don't come with how one can improve or amend the inefficiencies. People do lie and typically inefficiencies are only recognised when it becomes at a personal cost to their productivity or at a production loss/cost to mining teams. 1) Recognise we could be doing better/more efficiently/safely. 2) Recognise the contributing factors that impact the data. 3) Collaborate on how to mitigate the issues at hand and put forward a strategy to implement the change. 4) Review the change to ensure it is specific, streamlined and successful.
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Operational feedback and engineering data often seem at odds, but both are essential for informed decision-making in underground mining. While data provides critical insights, the on-the-ground experience of miners highlights real-world complexities that numbers alone can’t capture. Bridging this gap requires collaborative decision-making—encouraging engineers to spend time underground and involving frontline workers in data interpretation fosters mutual understanding. Additionally, leveraging real-time monitoring systems—where both operational feedback and engineering analytics feed into decision-making—helps create actionable and practical solutions.
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In my experience, operational feedback and engineering data offer valuable insights which needs to be collaborated and discussed properly by the departments involved. Recognizing the problems both operation and engineering will make projection of targets/goals more practical and attainable.
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