An analytic hierarchy process based model for the selection of decision categories in maintenance systems

Maintenance has been experiencing a slow but constant evolution across the years, from the former concept of “badly necessary” up to being considered as a vital function within a company and a strategic leverage for gaining a sustainable competitive advantage. In this context, it is necessary to consider maintenance as a set of managerial activities whose objectives and related decisions need to be consistent. This PhD dissertation provides an insight on the main decision categories, traditionally conceived for the manufacturing management context, which are relevant for a maintenance system. A model, based on Analytic Hierarchy Process, has been developed and tested in two industrial case studies in order to understand which are the decision categories that can exert a major impact on the maintenance strategies of a company.


Contact: Stefano Ierace –

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