How do we benchmark current maintenance practices, and what improvements can we make to optimize them for the future?
What is the source of predictive maintenance in your organization? Is it AI, smart devices, or another specific system, and how do these technologies integrate into your maintenance strategy?
Are we truly leveraging AI for predictive and preventative maintenance, or are we still in the early stages of adoption?
How can predictive maintenance be validated, particularly if AI is involved? Is there a need for additional assurance to ensure its reliability for quality outcomes?
How receptive are operators and employees within the quality scope to AI-driven predictive maintenance, and what steps can be taken to ensure their buy-in and effective usage?