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

6 Citations (Scopus)

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
Pages649-656
Number of pages8
DOIs
StatePublished - 2007
Event2006 IEEE International Conference on Automation Science and Engineering, CASE - Shanghai, China
Duration: Oct 8 2006Oct 10 2006

Other

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

Fingerprint

Supply chains
Servers
Discrete event simulation
State estimation
Kalman filters
Decision making
Uncertainty

Keywords

  • Server fulfillment supply chain
  • Simulation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Chen, Y., Fowler, J., Wu, T., Callarman, T., Ambrose, E., & Hargaden, V. (2007). An adaptive distributed simulation framework for a server fulfillment supply chain. In 2006 IEEE International Conference on Automation Science and Engineering, CASE (pp. 649-656). [4120425] https://doi.org/10.1109/COASE.2006.326959

An adaptive distributed simulation framework for a server fulfillment supply chain. / Chen, Yan; Fowler, John; Wu, Teresa; Callarman, Thomas; Ambrose, Eamonn; Hargaden, Vincent.

2006 IEEE International Conference on Automation Science and Engineering, CASE. 2007. p. 649-656 4120425.

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

Chen, Y, Fowler, J, Wu, T, Callarman, T, Ambrose, E & Hargaden, V 2007, An adaptive distributed simulation framework for a server fulfillment supply chain. in 2006 IEEE International Conference on Automation Science and Engineering, CASE., 4120425, pp. 649-656, 2006 IEEE International Conference on Automation Science and Engineering, CASE, Shanghai, China, 10/8/06. https://doi.org/10.1109/COASE.2006.326959
Chen Y, Fowler J, Wu T, Callarman T, Ambrose E, Hargaden V. An adaptive distributed simulation framework for a server fulfillment supply chain. In 2006 IEEE International Conference on Automation Science and Engineering, CASE. 2007. p. 649-656. 4120425 https://doi.org/10.1109/COASE.2006.326959
Chen, Yan ; Fowler, John ; Wu, Teresa ; Callarman, Thomas ; Ambrose, Eamonn ; Hargaden, Vincent. / An adaptive distributed simulation framework for a server fulfillment supply chain. 2006 IEEE International Conference on Automation Science and Engineering, CASE. 2007. pp. 649-656
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