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SUMMARY:Resilient and Reconfigurable Systems: Integration of Data Mining a
 nd Process Mining to Simulate Factory-of-the-Future and Hospital-of-the-Fu
 ture - Dariusz Cegalrek (Warwick University)
DTSTART:20150326T140000Z
DTEND:20150326T150000Z
UID:TALK58267@talks.cam.ac.uk
CONTACT:Rengarajan
DESCRIPTION:his seminar will provide an overview of research aimed at deve
 loping approaches and analytics that integrate products\, processes and co
 mplex services with system design to create a novel closed-loop lifecycle 
 modelling and synthesis framework.  This breaks new ground by establishing
  a field of research on the interface between product design\, system desi
 gn\, manufacturing and intangible services. The developed methodologies ca
 n impact modelling Factory-of-the-Future and Hospital-of-the-Future. The p
 resented research is funded by: EU FP7-“Virtual Factories” Program\, E
 PSRC: Flexible & Reconfigurable Manufacturing Systems Programme and EPSRC 
 STAR Award.\n \nBiosketch: Professor Darek Ceglarek received his Ph.D. in 
 Mechanical Engineering from the University of Michigan-Ann Arbor in 1994. 
 Prior to joining Warwick\, he was Full Professor with tenure in the Dept. 
 of Industrial & Systems Engineering at the University of Wisconsin–Madis
 on\, USA. Since 2007 he is Professor & EPSRC Star Research Chair at the Un
 iversity of Warwick\, UK. Prof. Ceglarek is a Fellow of CIRP. He served as
  Chair of the Quality\, Statistics & Reliability Section of INFORMS\; Prog
 ram Chair for the ASME Design-for-Manufacturing Life Cycle Conferences\, A
 ssoc. Editor of IEEE Trans. (TASE)\, and ASME Trans.\, J. of Manufacturing
  Systems and Engineering\; and UK representative in the Implementation Sup
 port Group of ManuFUTURE European Technology Platform. He is founder & hea
 d of the Digital Lifecycle Management Group at the University of Warwick d
 edicated to research that informs Factory-of-the-Future and Hospital-of-th
 e-Future. His research focusses on digital life-cycle modelling\, analysis
  and synthesis of manufacturing systems with emphasis on integration of CA
 D/CAM/CAE models and data mining modelling. His research is funded by the 
 UK EPSRC\; US NSF\; US National Institute of Standards & Technology\; EU F
 P7-ICT and industrial grants (Jaguar LandRover\, GM\, GE\, Hexagon\, Motor
 ola\, Chrysler\, etc.) in US and UK. He has published over 130 papers\, re
 ceived 4 Best Papers Awards with 12 papers in Top-1% of the most cited in 
 engineering journals. He has three patents\, his research has resulted in 
 two spinouts and approaches from his research have been adopted by manufac
 turing companies worldwide (e.g InSite™ OnWatch used by GE-HC for remote
 r diagnostics of all their CT/MRI worldwide\; 2mm/stream-of-variation dime
 nsional variation reduction by Chrysler\, GM\, etc.). Methodologies develo
 ped through his research\, involving care pathway development\, are curren
 tly used by one of the largest trusts in the UK to help consistently meet 
 quality thresholds in acute stroke as mandated by the DoH.
LOCATION:Seminar room 2\, Institute for Manufacturing\, Cambridge
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