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SUMMARY:How topological features of supply network affect disruption absor
 ption and recovery? An agent-based approach. - Anna Ledwoch (Cranfield Uni
 versity)
DTSTART:20161020T130000Z
DTEND:20161020T140000Z
UID:TALK68363@talks.cam.ac.uk
CONTACT:Rengarajan
DESCRIPTION:The beer distribution game has been extended into agent-based 
 model applicable for complex networks to investigate how internal decision
  making in multiple interconnected stocks under disruptions can influence 
 the overall system performance. Two most common topologies have been taken
  into account: random and scale-free. These have been used as a structural
  base for the agent-based simulation\, where a node represents a single st
 ock and a link represents the material flow. Disrupted networks have safet
 y stock and contingency rerouting strategies applied as recovery actions. 
 Results show that scale-free networks exhibit higher robustness\, they gen
 erate lower costs\, have higher fill rate and recover better from disrupti
 ons. Safety stock proves to be an effective risk mitigation strategy appli
 ed in a complex supply network\, since it increases fill rates and might d
 ecrease the cost depending on the risk profile. Contingency rerouting prov
 es to be an effective mitigation strategy only for long disruptions\, wher
 e it decreases costs and increases fill rate.
LOCATION:Seminar room 1\, Institute for Manufacturing\, Cambridge
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