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1 Doug Thiel commented   Permalink No RatingsRatings 0

Thanks for this great post Dan. The benefits you list are comprehensive and quantifiable. Using predictive capabilities as opposed to traditional methods for maintenance programs is just a smarter way of doing business. Any industry with heavy use of sensor equipment or correlative metrics could benefit greatly from this approach.

2 Victor J. Romita commented   Permalink No RatingsRatings 0

Many years ago we used to joke about British Leyland cars such as Jaguar, Triumph and MG, that if you wanted to drive one, you actually needed to own to drive, one to cannibalize for parts, and one to drive while the first was being maintained. That is an illustration of the high cost of low availability for an asset.
I mention that as a way of reinforcing the first of the very real benefits of PdM you listed and to ask for help. When working with a fleet of vehicles for a rental car company, or a fleet of aircraft for a commercial carrier, cargo carrier or the military or a fleet of vessels for a cruise line, cargo carrier or the military, the lower downtime provides higher fleet availability or fleet readiness. Improved availability or readiness means either many more vehicles, aircraft, and/or vessels available to support the business or the mission with no additional capital spend or the same level of availability or readiness from a smaller fleet. The financial benefit for a very large fleet or a fleet with unit vehicle, aircraft or vessel cost in the hundreds of millions of dollars will run into multiple billions of dollars or as much as an order of magnitude more than the savings in maintenance labor and parts.
While this may be a compelling value proposition, but it is only a conceptual value proposition as I do not have any specific examples. I am hoping you may know a real fleet availability example we can use as a reference when discussing Predictive Maintenance or Predictive Asset Optimization with a customer. Is there any past performance we can use in our discussions?

3 Brittany Detamore commented   Permalink No RatingsRatings 0

@Victor and @Doug, thank you for your comments! @Victor, I am posting a reply on behalf of Dan.
Yes, IBM has many customer driven use cases around fleet maintenance.
1. A large heavy equipment manufacturer uses PMQ to monitor and predict failures of components on their equipment in a harsh mining environment. The solution provides the ability to combine multiple data sources, apply predictive analytics to highlight potential problems and proactively identify solutions. The results are maximized uptime and increased component life.
2. FleetRisk Advisors has graciously provided a publicly available case study:
3. BMW also uses PMQ to drive vehicle uptime and as a mechanism to provide feedback to engineering and operations: "This special software allows data on vehicles and repairs, vehicle error memories and dealer feedback to be structured and analyzed in detail in combination with other information. What sets this solution apart is the fact that data is no longer considered in isolation, but in combination, providing completely new insights. The results of the analyses are immediately channelled back into BMW’s working processes, helping to reduce error rates and save costs. This continuous improvement of products and services is also increasing customer satisfaction and helping the vehicle manufacturer to consolidate its position as one of the most successful players in its market." You can find the case study here:

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