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DTSTART:19700329T010000
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CATEGORIES:Isaac Newton Institute Seminar Series
SUMMARY:Distributed Federation of Multi-paradigm Simulatio
 ns and Decision Models for Planning and Control - 
 Son\, YJ (University of Arizona)
DTSTART;TZID=Europe/London:20110907T093000
DTEND;TZID=Europe/London:20110907T100000
UID:TALK32692AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/32692
DESCRIPTION:In this talk\, we first discuss simulation-based s
 hop floor planning and control\, where 1) on-line 
 simulation is used to evaluate decision alternativ
 es at the planning stage\, 2) the same simulation 
 model (executing in the fast mode) used at the pla
 nning stage is used as a real-time task generator 
 (real-time simulation) during the control stage\, 
 and 3) the real-time simulation drives the manufac
 turing system by sending and receiving messages to
  an executor.  We then discuss how simulation-base
 d shop floor planning and control can be extended 
 to enterprise level activities (top floor).  To th
 is end\, we discuss the analogies between the shop
  floor and top floor in terms of the components re
 quired to construct simulation-based planning and 
 control systems such as resource models\, coordina
 tion models\, physical entities\, and simulation m
 odels.  Differences between them are also discusse
 d in order to identify new challenges that we face
  for top floor planning and control.  A major diff
 erence is the way a simulation model is constructe
 d so that it can be used for planning\, depending 
 on whether time synchronization among member simul
 ations becomes an issue or not.  We also discuss t
 he distributed computing platform using web servic
 es and grid computing technologies\, which allow u
 s to integrate simulation and decision models\, an
 d software and hardware components.  Finally\, we 
 discuss DDDAMS (Dynamic Data-Driven Adaptive Multi
 -Scale Simulation) framework\, where the aim is to
  augment the validity of simulation models in the 
 most economic way via incorporating dynamic data i
 nto the executing model and the executing model's 
 steering the measurement process for selective dat
 a update.\n
LOCATION:Seminar Room 1\, Newton Institute
CONTACT:Mustapha Amrani
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