University of Cambridge > Talks.cam > DIAL seminars > Industrial Asset and Maintenance Management in the Smart Factory: challenges and opportunities

Industrial Asset and Maintenance Management in the Smart Factory: challenges and opportunities

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Shuya Zhong.

The Fourth Industrial Revolution (aka Industry 4.0) is changing the way manufacturing is performed at global level. A blend of technologies is opening the door to new applications, leading the companies to think of benefits of higher productivity and competitiveness, while relying on digitalization in order to develop new methods and practices in different business process areas. Concerning maintenance management of assets in a factory, Industry 4.0 enhances what past visions, such as E-maintenance and Intelligent Maintenance Systems, have achieved. Furthermore, combining with the evolution of knowledge due to the “young” discipline of industrial asset management, Industry 4.0 enables to think of an extended management scope aimed to address the requirements of complex industrial facilities’ construction and management along the lifecycle. Overall, it is evident that the technology enablers of business change are promising plenty of opportunities to upgrading the capabilities for industrial management, including asset and maintenance management problems. Joined with the opportunities, new challenges are emerging, requiring a close collaboration between researchers and practitioners to be effectively met. The key purpose of this presentation is then to look into the opportunities and challenges brought by Industry 4.0, thus reflecting on extant theories and current needs in industrial settings as a stimulus to address future topics in the research agenda. To this end, research problems, formulated in real industrial settings and in the environment of an Industry 4.0 lab, will be illustrated in order to discuss opportunities and challenges in practice, eventually remarking two research foci for the future: i) PHM (Prognostics and Health Management) for decision support framed in life cycle management; ii) Digital Twins for integrated decision support in the lifecycle of manufacturing assets in complex systems.

This talk is part of the DIAL seminars series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

 

© 2006-2019 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity