SS20: Smart Maintenance and its Contribution to Sustainability in a Global Competitive Market
Organiser: Christian T. Geiss, ICON Services GmbH, Germany
Summary: The aim of this session is to link the field of predictive maintenance of engineering structures to the global need for more sustainability in a world with scarce resources. Sensor technologies and predictive and collaborative algorithms enable us to optimize maintenance strategies of engineering structures to a high level. The next step should be to consider the different techniques and aspects in a bigger picture and to work on holistic approaches with various application in civil engineering as well as in the energy sector. The new management guideline ISO 55000 – Asset Management Principles – triggered those aspects already on a normative level for all maintenance-intensive industries. Contributions covering the following and other related topics are invited: Maintenance 4.0; holistic maintenance approaches; decision support for maintenance strategies; reduction of unplanned downtimes; remaining useful lifetime analysis; predictive maintenance; maintenance database; lifetime identification documentation; analysis of operational data; SCADA; smart structures.