Distributed and hybrid simulations for manufacturing systems and integrated enterprise

Jayendran Venkateswaran; Young Jun Son

Distributed and hybrid simulations for manufacturing systems and integrated enterprise

Jayendran Venkateswaran, Young Jun Son

Systems and Industrial Engineering

Research output: Contribution to conference › Paper › peer-review

5 Scopus citations

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)
Pages	177-182
Number of pages	6
State	Published - Dec 1 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

Keywords

Discrete-event.
Hierarchical modeling
Hybrid simulation
System dynamics

ASJC Scopus subject areas

Engineering(all)

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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.",

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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.

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