Maintenance optimization in industry 4.0

This work reviews maintenance optimization from different and complementary points of view. Specifically, we systematically analyze the knowledge, information and data that can be exploited for maintenance optimization within the Industry 4.0 paradigm. Then, the possible objectives of the optimization are critically discussed, together with the maintenance features to be optimized, such as maintenance periods and degradation thresh-olds. The main challenges and trends of maintenance optimization are, then, highlighted and the need is iden-tified for methods that do not require a-priori selection of a predefined maintenance strategy, are able to deal with large amounts of heterogeneous data collected from different sources, can properly treat all the un-certainties affecting the behavior of the systems and the environment, and can jointly consider multiple opti-mization objectives, including the emerging ones related to sustainability and resilience.

Automated summary

This paper provides a comprehensive review of maintenance optimization from different and complementary perspectives. It analyzes the knowledge, information, and data that can be used for maintenance optimization within the Industry 4.0 paradigm. The paper discusses the objectives of optimization, maintenance features to be optimized, challenges, and trends, emphasizing the need for methods that can handle heterogeneous data, uncertainties, and multiple optimization objectives.