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LeaD4Value addresses challenges in data-driven maintenance management by focusing on lean data management strategies. The project aims to improve business value through analytical modeling and statistical analysis of maintenance data from various sources.
The possibilities of data-based maintenance management as well as interconnected, smart, and autonomous assets have been discussed lately but in practice there are still a number of major problems regarding e.g. the amount, quality, integration, and exploitation of maintenance data.
In LeaD4Value these problems are addressed through lean maintenance data management to realise increased business value.
Contrary to the Big Data hype, the idea here is to focus on the data decision support tools to…
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