The first step is to identify the problems. Why does a scientist conduct research in the laboratory? Because that is where all variables can be controlled. Define the process procedures in detail, measure each step and evaluate disturbances (deviations from the desired). At this stage, it is very important to evaluate all interferences in the process (scope deviation), and always evaluate the desired quality, waste and consumption, as this is an excellent performance evaluator. Record all production so that each variation can be evaluated. In each process, use PDCA and OEE to evaluate efficiency, bottlenecks, deviations and always try to follow a standard for everything. With all this mapped out, now just analyze your success!

Here's how I'd tackle it: 1. Immediate action: Pause or roll back recent changes to stabilize the system. 2. Root cause analysis: Dive deep into logs, metrics, and code to identify the culprit. 3. Optimization: Fine-tune processes, adjust resource allocation, or redesign workflows as needed. 4. Testing: Implement rigorous testing protocols, including stress tests and simulations. 5. Monitoring: Set up real-time alerts and performance dashboards. 6. Gradual reintroduction: Slowly reimplement optimized processes, closely watching system health. 7. Documentation: Update runbooks and share lessons learned with the team. Remember, automation should enhance stability, not compromise it. Stay vigilant and keep improving!

First, analyze logs and error reports to pinpoint the exact causes of instability. If recent changes triggered the instability, consider rolling back to the last stable version. Review and optimize your automation scripts for efficiency and error handling. Conduct extensive testing in a controlled environment to identify and fix issues. Ensure all software and tools are up to date with the latest patches and fixes. Finally, implement continuous monitoring to detect and address issues promptly.

I use my diagnostic tools available (ALARM MANAGER /Events report / the safety PLC). At 90% I'll be able to locate the issue. I evaluate the real impact on production at the given time, then project the impact over a deferred time, in order to plan the intervention. We check whether the equipment concerned or the loop can be bypassed for the intervention. or reduce production to the minimum for the intervention. In the worst case, a stoppage for the operation was scheduled.