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WÄRTSILÄ INTRODUCES NEW DYNAMIC ENGINE MAINTENANCE PLAN

Friday, June 5, 2020 

Wärtsilä has launched a Data-Driven Dynamic Maintenance Planning (Data-Driven DMP) solution intended to enhance the company’s existing DMP through digitalisation, and Wärtsilä’s capabilities in analytics.

The plan is an integral part of the company’s Lifecycle Solutions value proposition, and adds further customer benefits and value said not to be possible with conventional DMP solutions. Data-Driven DMP is claimed to increase the uptime of assets and reduce lifecycle costs by optimising major overhaul intervals, without compromising operational reliability or engine efficiency.

Furthermore, assets are maintained in prime condition without the need for on-site visual inspections performed by Wärtsilä personnel, since the solution’s digital capabilities reduce the need for such on-site visits. Customer personnel can be trained to take fluid samples and to carry out borescope inspections of engines with remote support from experienced and specialised experts in Wärtsilä’s Expertise Centres.

Leveraging the new capabilities and keeping the engines in prime condition eliminates the need for the usual opening inspection of the engine.

Frank Velthuis, Director Digital Product Development, Wärtsilä Marine, said: “Data-Driven DMP adds a new dimension to our Lifecycle Solutions’ value proposition, delivering greater flexibility and increased cost savings for the customer. Existing DMP contracts can be changed to take advantage of the extra benefits provided by Data-Driven DMP, should customers wish.”

The technology for Data-Driven DMP is supported by Wärtsilä’s Expert Insight product, which enables proactive and rapid advice and assistance to be delivered to customers from the Expertise Centres. Expert Insight has been credited with taking predictive maintenance to the next level.

Wärtsilä’s Lifecycle Solutions offering is backed by a combination of the company’s in-house know-how along with AI and predictive analytics. It takes a holistic approach to ensure sustainable and reliable operational performance.

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