Maintenance can be considered as a combined information and knowledge processing and management system. Effective knowledge, practices and experiences management is growing in importance, especially in advanced processes and management of advanced and expensive assets. Efforts of integrating maintenance knowledge management (MKM) processes with MKMM will be increasingly more important due to the increasing complexities of these overall systems – the context in which the performance measurements has been performed is also important input in the performance analysis. Integration of MKM in MPMM can result in higher quality of the decisions and actions in the maintenance processes and in the overall work to increase efficiency and decreasing costs in the organizations.Integration of MKM (Maintenance Knowledge Management – knowledge, experiences and practices management) with collaborative structures and interfacing abilities with qualified services for simulation, modeling and computations can be regarded as Intelligence-based Maintenance (iMaintenance).These infrastructures present in iMaintenance can further improve MPMM efforts due to possible utilization of more accurate property and context information and services – changes in installations, environmental factors etc. not easily integrated in current MPMM implementations.Integration of MPMM with iMaintenance solutions can also improve the interaction between management and the maintenance operators and also allow improved interaction and integration with production operators in the organization. MPMM can with this approach be integrated as a natural component in the overall ICT-based maintenance and collaboration solutions – the performance status reporting will be seen as a natural extension to the normal routines. In this context the usability of the end-user environments will be very important – especially when designing systems for mobile use by maintenance operators in the field.