The availability of any productive system within an industry is stronglyrelated to the quality and efficiency of its maintenance management system. Itis through maintenance, that the highest asset reliability can be achieved. Though,it also interests industry the optimisation of maintenance costs in contrast to thesafety implications of not performing any maintenance activity. In order to accomplishthis, every industry designs its own philosophy for planning and executingmaintenance activities. However, the times at which an asset is to be maintained,have traditionally been selected based on operational experience andoriginal equipment manufacturer (OEM) recommendations. This kind of genericand qualitative information may not be the adequate technical support for preventingequipment downtime. In the interest of making a more informed decision onwhen a piece of equipment needs to be maintained, it is necessary to count on aquantitative maintenance model. Such an approach is able to provide the asset datathat is essential to identify any deviation from its expected performance. Hence,maintenance is executed only when such deviations are found. Through this onlywhen required maintenance philosophy, downtimes can be reduced and resourcescan be more efficiently utilised, without compromising safety. Then, a quantitativeapproach is a more effective way to achieve the desired plant availability throughthe asset reliability improvement. This paper describes the development of a quantitativemaintenance model. The model has been derived from the critical analysisof current maintenance practices in industry as well as from a case study selectedfrom the power generation industry
