Abstract
Two categories of simulation that have gained prominence in the past decade are discrete event simulation (DES) and system dynamic simulation (SD). DES is used to model a system in detail to comprehend the actual behavior of the individual components. In contrast, SD simulation is used to build models using aggregated data for system wide dynamic flow analysis of managerial decisions. The need for an integrated hybrid simulation environment is highlighted and prototype architecture is presented. An application methodology in the area of hierarchical production planning in a manufacturing enterprise along with a preliminary feasibility analysis is then presented.
| Original language | English (US) |
|---|---|
| Title of host publication | IIE Annual Conference and Exhibition 2004 |
| Pages | 177-182 |
| Number of pages | 6 |
| State | Published - 2004 |
| Event | IIE Annual Conference and Exhibition 2004 - Houston, TX, United States Duration: May 15 2004 → May 19 2004 |
Other
| Other | IIE Annual Conference and Exhibition 2004 |
|---|---|
| Country | United States |
| City | Houston, TX |
| Period | 5/15/04 → 5/19/04 |
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Keywords
- Discrete-event.
- Hierarchical modeling
- Hybrid simulation
- System dynamics
ASJC Scopus subject areas
- Engineering(all)
Cite this
Distributed and hybrid simulations for manufacturing systems and integrated enterprise. / Venkateswaran, Jayendran; Son, Young-Jun.
IIE Annual Conference and Exhibition 2004. 2004. p. 177-182.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TY - GEN
T1 - Distributed and hybrid simulations for manufacturing systems and integrated enterprise
AU - Venkateswaran, Jayendran
AU - Son, Young-Jun
PY - 2004
Y1 - 2004
N2 - Two categories of simulation that have gained prominence in the past decade are discrete event simulation (DES) and system dynamic simulation (SD). DES is used to model a system in detail to comprehend the actual behavior of the individual components. In contrast, SD simulation is used to build models using aggregated data for system wide dynamic flow analysis of managerial decisions. The need for an integrated hybrid simulation environment is highlighted and prototype architecture is presented. An application methodology in the area of hierarchical production planning in a manufacturing enterprise along with a preliminary feasibility analysis is then presented.
AB - Two categories of simulation that have gained prominence in the past decade are discrete event simulation (DES) and system dynamic simulation (SD). DES is used to model a system in detail to comprehend the actual behavior of the individual components. In contrast, SD simulation is used to build models using aggregated data for system wide dynamic flow analysis of managerial decisions. The need for an integrated hybrid simulation environment is highlighted and prototype architecture is presented. An application methodology in the area of hierarchical production planning in a manufacturing enterprise along with a preliminary feasibility analysis is then presented.
KW - Discrete-event.
KW - Hierarchical modeling
KW - Hybrid simulation
KW - System dynamics
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UR - http://www.scopus.com/inward/citedby.url?scp=30044442106&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:30044442106
SP - 177
EP - 182
BT - IIE Annual Conference and Exhibition 2004
ER -