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SUMMARY:Supply Network Analytics: lessons learned from large-scale data - 
 Alexandra Brintrup (University of Cambridge)
DTSTART:20161202T100000Z
DTEND:20161202T104500Z
UID:TALK69469@talks.cam.ac.uk
CONTACT:Yongjiang Shi
DESCRIPTION:Large-scale complex supply networks emerge as companies procur
 e goods from each other\; simultaneously creating value and risk. Although
  operations literature offers many sophisticated dyadic models and case st
 udies to describe inter-organisational risk and coordination\, there is a 
 dearth of knowledge on the large-scale network structure on which firms re
 ly. In this talk we will first explore this gap by assembling an empirical
  dataset on the global automotive production network and examine how the s
 tructure of supply relationships in the network impact systemic properties
  such as resilience and performance. We will then debate how predictive mo
 dels can be developed to estimate hidden structure when empirical data is 
 unavailable or incomplete. We will conclude with a discussion on how suppl
 y network analytics can be advanced with the rise of digital manufacturing
  technologies and the challenges involved in such a step change.
LOCATION:Seminar Room 2\, IfM\, 17 Charles Babbage Road
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