Data Science behind planned maintenance in industries

Every machine if breaksdown will result in a downtime and impact production targets eventually impacting revenue or brand value. Proactive maintenance is a method to counter such a problem. Though proactive maintenance will also require a fix amount of downtime, it can be scheduled such that impact is minimum by scheduling the machine that isn’t the bottleneck at a given instant. So optimizing the scheduling of proactive maintenance and inspections can definitely be a use case.

For all the mechanical and industrial engineers wanting to start their careers in data science, can you pick this case up as a capstone project?