An adaptive distributed simulation framework for a server fulfillment supply chain

Yan Chen, John Fowler, Teresa Wu, Thomas Callarman, Eamonn Ambrose, Vincent Hargaden

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

Supply chains that produce and distribute computer servers are globally dispersed and have a high degree of uncertainty. To excel at servicing customers, a supplier must be highly skilled in matching the assets in the system with customer demand. Discrete event simulation has been proven valuable for system state estimation of supply chains. However, irregularities and disruptions occurring at any site along the system and the resulting bullwhip effects can lead to significant departures of simulationbased estimation from the performance of the real system. These departures reduce the ability of the model to assist in making correct decisions. In this paper, we propose an adaptive distributed simulation framework for a server fulfillment supply chain, and a Kalman filter to improve our estimates of job completion times.

Original languageEnglish (US)
Title of host publication2006 IEEE International Conference on Automation Science and Engineering, CASE
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages649-656
Number of pages8
ISBN (Print)1424403103, 9781424403103
DOIs
StatePublished - 2006
Event2006 IEEE International Conference on Automation Science and Engineering, CASE - Shanghai, China
Duration: Oct 8 2006Oct 10 2006

Publication series

Name2006 IEEE International Conference on Automation Science and Engineering, CASE

Other

Other2006 IEEE International Conference on Automation Science and Engineering, CASE
Country/TerritoryChina
CityShanghai
Period10/8/0610/10/06

Keywords

  • Server fulfillment supply chain
  • Simulation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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