Apply the right maintenance strategy, based on failure mechanisms in relation to the criticality of the cleanroom system using Failure analysis tools.
Imagine the possibility of telling you now about future problems with your assets or processes. Ever thought what you would be willing to pay for that type of foresight? Quite an investment for sure. Of course, you can sit around and wait for something to go wrong. Or not. That’s up to you. You can as well anticipate problems before they happen and reduce the risk of failure. That is what Failure Mode Effect Analysis (FMEA) and Fault Tree Analysis (FTA) can do. They help identify potential issues with your assets before they happen. In this whitepaper, you will learn about the necessity of understanding failure behaviour and failure analysis from a pre-engineered cleanroom design approach.
'Design for reliability' to understand a cleanroom's failure behaviour
Both reliability and availability are well-known terms in the field of cleanroom technology. They are in fact closely related to each other in the design phase of a cleanroom. This so-called ‘Design for Reliability’ is a fundamental starting point for all cleanroom environments since every cleanroom must meet the requirements according to the function they are designed for and this on a 24/7 basis.
However, other than the design phase, reliability is also closely linked to availability in the operational phase of the cleanroom: reliability is the ability of the entire cleanroom system to perform according to a required function under given conditions for a given time interval. After all, designing a cleanroom system for unlimited conditions is impossible.
In order to measure the reliability performance and to determine whether reliability requirements of cleanroom designs are met, you can apply the Survival Probability: the proportion of units that survive longer than a specified time.