Modell zur Bewertung eines Instandhaltungsmanagements

In global competition, companies are required to create targeted strategic advantages over their competitors. Megatrends such as digitalisation, climate change and various crises in recent years are also placing increasing demands on companies. A decisive approach for industrial companies, especially those with a high level of asset intensity, to secure a competitive advantage in this environment by increasing productivity is the introduction and optimisation of comprehensive a comprehensive management. Such an asset management, which coordinates the most important aspects on a normative, strategic and operational level and connects them through control loops, requires a systematic approach for the introduction and continuous improvement of the associated management system and its processes. In this paper, a maintenance management excellence reference model is presented that fulfils the above-mentioned requirements. The basis for this model is an excellence metamodel, which defines the generic and variable properties of an excellence model and thus functions as a framework for the reference model. The reference model consists of two sub-models, a criteria model and an evaluation model. The criteria model uses enabler and results criteria to describe the characteristics of an outstanding maintenance management, taking into account the embedding into an asset management system. The assessment model is used to quantify the qualitative descriptions of the enabler criteria and the quantitative values and trends of the indicators on the results criteria side. This quantified assessment can be used as a starting point for improvements and benchmarking. In addition to the reference model, a procedure model for deriving an organisation-specific application model is also presented. The models are tested on the basis of two case studies. This work serves not only scientists but also practitioners who are looking for a toolset to support them in the introduction and optimisation of a comprehensive maintenance management to master complexity and to understand interrelationships.