James Fisher Mimic enables P&O Cruises to rule the waves by helping to ensure MV Britannia’s on-going reliability.
James Fisher Mimic (JFM), part of James Fisher and Sons plc, has recently installed its unique Mimic condition monitoring software suite on the largest ever cruise ship built for British holidaymakers - P&O Cruises £473 million, 141,000 tonne vessel, MV Britannia. This contract award demonstrates P&O Cruises continued enthusiasm to embrace and utilise the many advantages of condition based maintenance (CBM) as part of its maintenance strategy. Mimic’s simple CBM solution supports ship owners in the optimisation of their maintenance resources and improves overall reliability, significantly reducing operational costs over the life of the asset. Chris Wright from P&O Cruises said:
“Mimic was the obvious choice to support Britannia’s maintenance strategy; the system has been installed across all vessels in our fleet since 2005.”
Shaun Rowe, operations manager at James Fisher Mimic explains:
“The integration of Mimic with the vessel’s computerised maintenance management system, AMOS, has enabled P&O Cruises to operate and manage a highly effective maintenance regime on-board its vessels, and we’re proud to have provided a valuable contribution to ensure the safety of passengers’’
JFM’s technical team installed the system during the delivery voyage from the Fincantieri yard to Southampton, which involved the creation of a CBM regime for over 200 critical assets, including air conditioning compressors, boiler feed pumps, ballast pumps, fresh water pumps, chilled water pumps, salt water pumps, fuel centrifuges, heat exchangers, steering gear and fuel pumps and incorporated training and initial baseline data acquisition. JFM will also provide on-going consultancy support to MV Britannia, supplying a monthly data analysis service to provide the vessel’s superintendent and chief engineer with a machinery summary health report and recommendations for impending problems.
“Mimic is the gateway to many different types of condition monitoring information which can be utilised to improve machinery reliability and provide early warning of impending mechanical failures.”