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PM Optimisation Case Studies at Two Coal Mines by Steve Turner BEng MBA Director and Principal Consultant OMCS International (300k PDF - requires Acrobat)

PM Optimisation is a process that has become very popular worldwide as a cost effective and practical alternative to RCM.  It has found great success in the following instances:

·         In organisations that have existing plants with existing maintenance programs, where the situation requires a rationalisation and review of current PM reliability rather than a zero-based start-again method, and

·         In organisations that are expanding or replacing current assets and have a need to build a reliability program for these assets.  They can do this quickly and effectively based on the knowledge that they, or someone else, currently have by virtue of owning or operating similar assets.

The paper presented takes two case studies.  Both are from the mining industry however the industry sector does not much affect the process or the results.  One of the cases is surrounds an analysis project that was completed prior to the commissioning of the equipment.  The other was done nearly two years after commissioning.

In both cases, it was found that the vendor recommendations needed significant adjustment to suit site conditions.  The PM Optimisation approach was found to be six times faster than RCM and in theory produced the same results.

Maintenance Analysis of the Future: PM Optimization by Steve Turner 
Maintenance is one of the largest controllable operating costs in capital intensive industries. It is also a critical business function that impacts on commercial risk, plant output, product quality, production cost, safety, and environmental performance. For these reasons, maintenance is regarded in best practice organizations not simply as a cost to be avoided, but together with reliability engineering, as a high leverage business function. It is considered a valuable business partner, contributing to asset capability and continuous improvement in asset performance.  More...Click here to read PM Optimization (136k .pdf)

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