¿Cómo se pueden diseñar procesos que prioricen la eficiencia y la seguridad?

The mistake most people make when assessing process risk is only assessing face value safety risk; rarely is organisational, reputational or cultural impact risk considered. Invite genuine consultation from people at the coal face of the process and make significant effort to understand their perspectives. Should you consider these aspects of the process there will naturally be a significant safety/ efficiency improvement, consider the cultural risk of excessive manual handling for a task with little change (eg the same action many times with little variation). Not only is excessive manual handling a significant safety risk but also hinders moral, by making peoples lives easier you can significantly strengthen your work force.

When implementing controls, understand its rare they are as effective as proposed. The review stage needs to start at point in implementation but more importantly be aware of unplanned introduced risks that have occurred as a result of the change and is the collective reduction less than the risk prior to the change?

Monitoring performance is like having a safety GPS for your processes. Key Performance Indicators (KPIs) are the signposts telling you if you're on the right track. But, here's a twist: don't just rely on the numbers; gather insights from the real heroes—your workers, customers, and stakeholders. Their feedback is the secret sauce for fine-tuning your safety and efficiency recipe. Let's not forget: every beep on the safety radar is a chance for improvement!

Be real about the performance, monitor only what matters. Use previous indicators only as a starting point to determine the actual key indicators in the current scenario. Consult with coal face workers to see if the indicators chosen are true to the environment this is actually happening and can the numbers be warped at a ground level giving false outcomes.

Capturing those lead indicators is the real challenge in this, making it simple and efficient. Most data capture systems on the market today make it a real effort for field workers to record the critical data that will produce real lead indicators. We have found such a varied mix of data capture methods in a single organisation can result in data manipulation as the data makes its way to the people that need it. Conclusion; Make it a point to prioritise simple to use tech for field operations that enable accurate data capture on structured format that can then be used to report accuracy to all the stakeholders that require it and that can make positive change.