Dynamic-data-driven adaptive multi-scale simulation (DDDAMS) for planning and control of distributed manufacturing enterprises

Nurcin Koyuncu, Seungho Lee, Parag Sarfare, Young-Jun Son

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

1 Citation (Scopus)

Abstract

Dynamic-Data-Driven Adaptive Multi-Scale Simulation (DDDAMS) is proposed to adaptively adjust the fidelity of a simulation model against available computational resources by incorporating dynamic data into the executing model, which then steers the measurement process for selective date update. Four algorithms are embedded into a real-time simulator for its DDDAMS capability, including data filtering algorithm, fidelity selection algorithm, fidelity assignment algorithm, and task generation algorithm. Grid computing and Web Services are used for computational resource management and inter-operable communications among distributed software components. The proposed DDDAMS is applied for operational scheduling and preventive maintenance scheduling in a semiconductor manufacturing supply chain.

Original languageEnglish (US)
Title of host publicationIIE Annual Conference and Expo 2008
Pages1611-1616
Number of pages6
StatePublished - 2008
EventIIE Annual Conference and Expo 2008 - Vancouver, BC, Canada
Duration: May 17 2008May 21 2008

Other

OtherIIE Annual Conference and Expo 2008
CountryCanada
CityVancouver, BC
Period5/17/085/21/08

Fingerprint

Planning
Industry
Scheduling
Preventive maintenance
Grid computing
Web services
Supply chains
Simulators
Semiconductor materials
Communication

Keywords

  • Dynamic information sharing
  • Grid computing
  • Multi-fidelity modeling
  • Simulation-based control

ASJC Scopus subject areas

  • Computer Science Applications
  • Software
  • Industrial and Manufacturing Engineering

Cite this

Koyuncu, N., Lee, S., Sarfare, P., & Son, Y-J. (2008). Dynamic-data-driven adaptive multi-scale simulation (DDDAMS) for planning and control of distributed manufacturing enterprises. In IIE Annual Conference and Expo 2008 (pp. 1611-1616)

Dynamic-data-driven adaptive multi-scale simulation (DDDAMS) for planning and control of distributed manufacturing enterprises. / Koyuncu, Nurcin; Lee, Seungho; Sarfare, Parag; Son, Young-Jun.

IIE Annual Conference and Expo 2008. 2008. p. 1611-1616.

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

Koyuncu, N, Lee, S, Sarfare, P & Son, Y-J 2008, Dynamic-data-driven adaptive multi-scale simulation (DDDAMS) for planning and control of distributed manufacturing enterprises. in IIE Annual Conference and Expo 2008. pp. 1611-1616, IIE Annual Conference and Expo 2008, Vancouver, BC, Canada, 5/17/08.
Koyuncu, Nurcin ; Lee, Seungho ; Sarfare, Parag ; Son, Young-Jun. / Dynamic-data-driven adaptive multi-scale simulation (DDDAMS) for planning and control of distributed manufacturing enterprises. IIE Annual Conference and Expo 2008. 2008. pp. 1611-1616
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