After reviewing your processes and applying technology to collect and analyze your data, you can start using data-led insights to assess which processes are adding value and which are valueless. This analysis not only prioritizes your best areas of improvement; it also helps you plot your individual roadmap.
In the early stages of your digital transformation journey, improvements can be made to reduce unplanned machine downtime by analyzing temperature and vibration. With the right technology, it only takes approximately 60 days of data to start zoning in on these improvements. Operations can potentially earn very quick wins by engaging predictive maintenance and addressing quality issues that result from malfunctioning machines.
With data-led technology, there is the opportunity to see a significant increase on annual cost improvements. Results differ greatly between operations, but in some cases, we’ve seen manufacturers experience results that increased first-pass yield by 25% and increased engineer productivity hours by 30%. Simply layering technology over a factory’s existing machines and devices generated massive results—a tremendously exciting development for manufacturers.