Data Driven RCM
Yansan refinery in China wanted to improve the reliability of their 11 reciprocating compressors, due to unacceptable levels of unplanned shutdowns.
/
Yansan refinery in China wanted to improve the reliability of their 11 reciprocating compressors, due to unacceptable levels of unplanned shutdowns.
ProAIM was able to optimise the planned maintenance schedule to enable the compressors to run for 5 years. The client estimated that this would save them millions of dollars every year in lost production as they change from a fire fighting mode of corrective maintenance to an organised mode planned maintenance and operations.
The project took 3 months to complete. A total of 11 reciprocating compressors were reviewed, 4 pairs in the ethylene process and 3 (two redundant) in the hydrogen loop.
Traditional RCM methodology is qualitative basis and heavily relied on individual subject matter expert’s knowledge and experience to achieve results. Therefore, the results could vary from study to study conducted by different experts. ProAIM’s innovative RAM-RCM methodology enhances the quantitative element in the RCM process. The results of RAM process guide the focus points on RCM process and the results of RCM could also be verified with RAM to quantify their effectiveness.
Download PDF
If you have a question or enquiry for us please complete the form below and we’ll be in touch as soon as possible.
Back to top
© Copyright ProAIM Ltd 2024. Designed and developed by DOWO Digital.