The maintenance assessment: a stepping stone for improvement

Maintenance assessments (sometimes called “audit” although we prefer the term “assessment”) represent a growing part of our business in China. This article will explore the principles, practice and benefits of such assessments.
read moreAvoiding pitfalls when implementing WCM / TPM in China

Companies trying to implement World Class Manufacturing (WCM) or Total Productive Maintenance (TPM) or Lean Manufacturing in China, usually as a part of a corporate roll-out, face specific challenges, which may differ from those observed in Japan or in the West.
read moreThree practical findings from applying BIM in China

Building information modelling (BIM) refers to the development of tridimensional digital representations of facilities. With proven benefits in design and construction, BIM is becoming mandatory for environmental infrastructures all over the world. Demand is now growing to extend its usage to Operation & Maintenance (O&M).
read more2020 Customer Satisfaction Survey Report

In this month’s newsletter, we are pleased to share the results of our 2020 customer satisfaction survey, which focuses on Support and Product for customers under support. The purpose of the survey is to strengthen our relationship with customers, identify their long-term needs and constantly improve our products and customer services.
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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