Get the most out of your Asset Management System
In practice, it appears that many organizations have difficulty getting the right support from their Enterprise Asset Management system. In this blog we describe why expectations are possibly not met and what can be done about it.
Predictive maintenance in six steps
Predictive maintenance: everyone talks about it and seems to know how to do it. But what is it really? Enos Postma takes us into the world of assets, predictive maintenance, statistics and algorithms and explains how to implement predictive maintenance in six clear steps.
The Long-Term Asset Replacement Plan – What is it and what is it used for?
Insufficient control over capex? Unexpected major expenses? The sentence: “that will definitely last another 10 years?” These are all good reasons to consider preparing a Long-Term Asset Replacement Plan (LTARP).
Synergy between Reliability-Centered Maintenance and Root Cause Analysis
Which would you prefer: Prevention or Cure? Preventing equipment from failing is obviously a good thing. But we cannot predict everything. The best preventative efforts still fail sometimes. Wouldn't that suggest that the better answer would be “Cure!"?
Proud of our Knowledge
At Stork Asset Management Solutions we aim to make knowledge, which is critical to the services that we provide, accessible. This includes both explicit knowledge and tacit knowledge. In practice, we are talking about knowledge bases and knowledge owners.
How do I choose the best CMMS software fit?
Selecting a Computerized Maintenance Management System (CMMS) or an Enterprise Asset Management (EAM)-supporting system is one of the most challenging projects for a maintenance or operational organization.
A substantiated maintenance concept in six steps
In my work, I often come into contact with customers who feel that maintenance can be better and, above all, cheaper. Then there are those customers who are fine with everything and see maintenance more as a necessary evil. In this blog I will explain the usefulness and necessity of having a substantiated maintenance concept and how it can be managed.
Data relevance – Crucial in Asset Performance Management
The quality of data is a difficult concept; you can approach it intuitively: for example data that is ‘good'. But it quickly becomes trickier when there are several users of the same data, and trickier still if each one of these users wants to achieve different goals with that data.
IOT innovations improve better decision making based on accurate asset data
Asset-intensive companies face tighter maintenance budgets, stricter regulations and increased pressure to improve asset performance, whilst confronted with aging assets and workforce.