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SUMMARY:Industrial Asset and Maintenance Management in the Smart Factory: 
 challenges and opportunities - Professor Marco Macchi (Politecnico di Mila
 no)
DTSTART:20190911T140000Z
DTEND:20190911T150000Z
UID:TALK130114@talks.cam.ac.uk
CONTACT:Shuya Zhong
DESCRIPTION:The Fourth Industrial Revolution (aka Industry 4.0) is changin
 g the way manufacturing is performed at global level. A blend of technolog
 ies is opening the door to new applications\, leading the companies to thi
 nk of benefits of higher productivity and competitiveness\, while relying 
 on digitalization in order to develop new methods and practices in differe
 nt business process areas. Concerning maintenance management of assets in 
 a factory\, Industry 4.0 enhances what past visions\, such as E-maintenanc
 e and Intelligent Maintenance Systems\, have achieved. Furthermore\, combi
 ning 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\, i
 t is evident that the technology enablers of business change are promising
  plenty of opportunities to upgrading the capabilities for industrial mana
 gement\, including asset and maintenance management problems. Joined with 
 the opportunities\, new challenges are emerging\, requiring a close collab
 oration between researchers and practitioners to be effectively met. The k
 ey purpose of this presentation is then to look into the opportunities and
  challenges brought by Industry 4.0\, thus reflecting on extant theories a
 nd current needs in industrial settings as a stimulus to address future to
 pics 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 cyc
 le management\; ii) Digital Twins for integrated decision support in the l
 ifecycle of manufacturing assets in complex systems.
LOCATION:Seminar room 1\, Institute for Manufacturing\, University of Camb
 ridge
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