Connected Service Parts Management is Not Predictive Maintenance

Written By: Ed Wodarski

When explaining the concept of connected service parts management (CSPM), I always come across a misconception that it’s the same thing as predictive maintenance. Here’s why it’s not.

CSPM uses the same causal forecasting algorithms as traditional service parts management solutions. What distinguishes CSPM from SPM is that the former inputs data from connected assets into those causal forecasts. Those connected assets could be aircraft, MRI machines, servers, or whatever.

The difference between CSPM and predictive maintenance

As the name implies, predictive maintenance involves predicting which parts on a particular machine will break at any point in time. Once a service organization has this information, it can send a technician to fix that machine when it isn’t in use, before it breaks.

CSPM doesn’t predict which parts on which machines will break in a given time. Instead, it gathers four data points from smart, connected products:

  1. Where the assets are located.
  2. Each asset’s utilization rate (mileage, flight hours, scans per day, etc.).
  3. How many assets there are across the installed base.
  4. What the real failure rates are by model, age, application, environment etc.

It then takes all this data to model and forecast asset utilization over the next three months, six months, or however far into the future you want to go. Parts planners can then use those forecasts to generate parts demand forecasts.

Alright, well then why bother with CSPM at all? Because it eliminates the need to use proxies of how many assets are in your installed base, where they are, and how much use they’re experiencing.

To be fair, the Servigistics Business Unit currently is researching ways to institute a predictive maintenance-like capability. Until then, we’ll continue to provide parts planners with reliable, accurate data:

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Tags:
  • Service & Parts

About the Author

Ed Wodarski

Ed Wodarski is a Service Parts Planning (SPM) expert for Servigistics with a special focus on the commercial aviation ecosystem. Ed has over 36 years of experience in SPM software design, deployment and sales support. Starting his career at Xerox in 1981 as a part of the design team for the first bespoke global parts planning system, Ed is widely acknowledged as an industry founder. He later then designed the first commercial offering for LPA/Xelus which has since been incorporated into the Servigistics platform. Ed has also been a Senior Executive at Accenture consulting globally on parts planning best practices. At PTC, Ed has worked closely with a number of leading aviation enterprises including Boeing, Aviall, JetBlue, and Southwest.