This paper presents a framework for assessing the impact of the data collection process on the validity of key measures in reliability. The quality of data is affected by many organisational and behavioural factors. The aims of developing this framework are to
A Split System Approach (SSA) based methodology is presented to assist in making optimal Preventive Maintenance decisions for serial production lines. The methodology treats a production line as a complex series system with multiple PM actions over multiple intervals.
Maintenance management is a complex partnership between the people directly or indirectly involved in maintenance, the processes and strategies to direct the people’s actions, the physical assets being maintained, and the Computerised Maintenance Management Systems – the main link between the “people”, the “processes and strategies”, and the “asset”.
Predictive maintenance (or prognostics) is critical to any engineering systems to avoid system breakdown, in particular, for complex systems. With the recent advances on pervasive computing, prognostics can be easily embedded in any devices and systems.
An organization’s maintenance strategy may consist of many thousands, even tens or hundreds of thousands of preventive maintenance activities. These activities, properly executed, determine the success of the preventive maintenance program.
This paper discribes how implementing a system of scheduled mechanical maintenance for a production operation is not ground breaking in terms of maintenance improvement, just logical. The aim of this process was to move from an informal planned maintenance scenario to a formal predictive maintenance scenario. This aper presents the lessons learnt during implementation of mechanical maintenance schedules for fixed plant at two operations, Howick Coal Preparation Plant and Newdell Coal Preparation Plant within the same organisation, Howick Coal.