Committed to China and the Belt & Road
It was my great honor to conclude this year’s Siveco China customer event in Kunshan on November 13. In true Siveco fashion, we let our customers speak at the event! Many thanks to those who shared their experience, their success with our approach, which combines maintenance know-how and innovative tech.
read moreSiveco clients share experience at the 2020 customer event in Kunshan
On November 13, Siveco hosted clients at the site of customer Smart Factory Kunshan (Jiangsu province) for its 2020 customer sharing event.
read moreRelease of bluebee® X the new generation Smart O&M platform
On November 13, 2020 Siveco, the pioneer of Smart O&M, officially released the new generation of its flagship bluebee® software suite, code-named bluebee® X, during its annual customers event in Kunshan, China.
read moreA flurry of activity aimed at promoting good asset management practices
As part of its COVID-19 crisis plan, announced in February 2020, Siveco has increased its investment in the Chinese market. The company made the strategic decision to provide extra funding not only for R&D but also for marketing activities.
read moreHow to measure the success of a CMMS implementation
It is often said that maintenance digitalization projects have a very low success rate. Often managed by IT, most CMMS or EAM projects result in systems that maybe work from a technical standpoint (users can login and access the various functions) but cannot be used in practice (data not accurate, no useful reports, inconvenient user interfaces). Obviously such system does not help the company achieve any industrial improvement.
read morePredictive maintenance: information overload, the Cassandra effect
This is the second article in a series on the hot topic of Predictive Maintenance, drawing on the practical experience of Siveco working with maintenance improvement in China and the Asia region in the past 20 years. As seen in the first article Predictions on Predictive Maintenance: it will fail… unless., ‘right data’ is better than ‘big data’.
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