SIRF Roundtables Blog

When somewhere between 50% and 70% percent of equipment failures are self-induced with the maintenance and commissioning performed on the equipment, it is understandable the importance many organisations place on Quality management in maintenance.

Winston Ledet(1999) developed the Maintenance Maturity model 20 years ago and Planned Maintenance is a foundational element of this model and really key to building maintenance maturity.

One of the major focuses within industry now is reducing the cost implications caused by poor working practices, ensuring all your assets are kept to a standard where performance and reliability come hand in hand.  Ron Moore’s Reliability leadership model focused on bringing the Maintenance and operational functions together to work side by side in a safe and focused manner as a team, driven by operations, and supported by maintenance. 

So simple but yet so few succeed....especially in a Maintenance environment! 5S has many applications in a maintenance, yet it seems a struggle for many, having tried and failed or not sustaining what has been achieved but also improvements into the future.

As businesses progress in maintenance maturity, one aspect that deserves due attention is optimising maintenance strategies, particularly with the scope it has to greatly engage the trades and significantly remove waste from its operations.

Nearly 20 years ago Winston Ledet(1999) developed the Maintenance Maturity model. Predictive Maintenance is a key aspect of this model, that is just as relevant all these years later, in mapping out maturity in maintenance to deliver an organisation wide reliability culture that drives competitiveness.

Do you have a good handle on the 4 enemies of Hydraulics ? Hydraulics and hydraulic systems and controls are quite key to many operations. However with their growing complexity and the gradual loss of onsite knowledge many operations are facing a knowledge gap in understanding these systems to adequately maintain, monitor their condition, do fault finding and diagnosis and further improve their reliability.