If your asset management program feels like it needs a total rebuild, take a breath. It doesn’t happen in one sprint, and trying to do it that way is how good initiatives stall out in month two.
The programs that actually get there follow a pretty consistent order. Start by getting honest about your current data quality, because nothing downstream works if the foundation is shaky. Standardize asset records and maintenance history next. Then, and only then, build out preventive maintenance processes. From there, add condition monitoring on the assets where risk is highest, expand into predictive maintenance, and finally let lifecycle analytics guide your replacement planning. Skip ahead to step five before step one is solid, and you’ll end up with a really sophisticated predictive model built on data nobody trusts.
For the complete six-step roadmap and how each stage builds on the last, read Maximize Asset Value & Lifespan: A Practical Guide on the Maven blog.