DDDAS-based multi-fidelity simulation framework for supply chain systems

Nurcin Celik, Seungho Lee, Karthik Vasudevan, Young Jun Son

Research output: Contribution to journalArticle

31 Citations (Scopus)

Abstract

Dynamic-Data-Driven Application Systems (DDDAS) is a new modeling and control paradigm which adaptively adjusts the fidelity of a simulation model. The fidelity of the simulation model is adjusted against available computational resources by incorporating dynamic data into the executing model, which then steers the measurement process for selective date update. To this end, comprehensive system architecture and methodologies are first proposed, where the components include a real-time DDDAS simulation, grid modules, a web service communication server, databases, various sensors and a real system. Abnormality detection, fidelity selection, fidelity assignment, and prediction and task generation are enabled through the embedded algorithms developed in this work. Grid computing is used for computational resources management and web services are used for inter-operable communications among distributed software components. The proposed DDDAS is demonstrated on an example of preventive maintenance scheduling in a semiconductor supply chain.

Original languageEnglish
Pages (from-to)325-341
Number of pages17
JournalIIE Transactions (Institute of Industrial Engineers)
Volume42
Issue number5
DOIs
StatePublished - May 1 2010
Externally publishedYes

Fingerprint

Supply chains
Web services
Preventive maintenance
Grid computing
Communication
Servers
Scheduling
Semiconductor materials
Sensors

Keywords

  • Bayesian inference
  • Distributed computing
  • Multi-fidelity simulation
  • Online maintenance scheduling
  • Real-time simulation
  • Semiconductor manufacturing
  • Simulation-based control

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

Cite this

DDDAS-based multi-fidelity simulation framework for supply chain systems. / Celik, Nurcin; Lee, Seungho; Vasudevan, Karthik; Son, Young Jun.

In: IIE Transactions (Institute of Industrial Engineers), Vol. 42, No. 5, 01.05.2010, p. 325-341.

Research output: Contribution to journalArticle

Celik, Nurcin ; Lee, Seungho ; Vasudevan, Karthik ; Son, Young Jun. / DDDAS-based multi-fidelity simulation framework for supply chain systems. In: IIE Transactions (Institute of Industrial Engineers). 2010 ; Vol. 42, No. 5. pp. 325-341.
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