Selective rerouting using simulated steady state system data

Catherine M. Harmonosky; Robert H. Farr; Ming Chuan Ni

doi:10.1145/268437.268774

Selective rerouting using simulated steady state system data

Catherine M. Harmonosky, Robert H. Farr, Ming Chuan Ni

Marcus Department of Industrial and Manufacturing Engineering

Research output: Contribution to journal › Conference article › peer-review

11 Scopus citations

Abstract

Effective operational control of a manufacturing system that has routing flexibility is dependent upon being able to make informed real-time decisions in the event of a system disruption, such as a machine breakdown or parts shortage. This paper presents a methodology for making a real-time selective rerouting decision using steady-state system performance estimates from simulation models run a priori to any system disturbance. The approach is to create a relatively simple tool based on simulated long-term system performance data. Evaluation of the effectiveness of the approach is based upon system performance measures of average flowtime and average throughput.

Original language	English (US)
Pages (from-to)	1293-1298
Number of pages	6
Journal	Winter Simulation Conference Proceedings
DOIs	https://doi.org/10.1145/268437.268774
State	Published - 1997
Event	Proceedings of the 1997 Winter Simulation Conference - Atlanta, GA, USA Duration: Dec 7 1997 → Dec 10 1997

All Science Journal Classification (ASJC) codes

Software
Modeling and Simulation
Safety, Risk, Reliability and Quality
Chemical Health and Safety
Applied Mathematics

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10.1145/268437.268774

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title = "Selective rerouting using simulated steady state system data",

abstract = "Effective operational control of a manufacturing system that has routing flexibility is dependent upon being able to make informed real-time decisions in the event of a system disruption, such as a machine breakdown or parts shortage. This paper presents a methodology for making a real-time selective rerouting decision using steady-state system performance estimates from simulation models run a priori to any system disturbance. The approach is to create a relatively simple tool based on simulated long-term system performance data. Evaluation of the effectiveness of the approach is based upon system performance measures of average flowtime and average throughput.",

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year = "1997",

doi = "10.1145/268437.268774",

language = "English (US)",

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journal = "Winter Simulation Conference Proceedings",

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note = "Proceedings of the 1997 Winter Simulation Conference ; Conference date: 07-12-1997 Through 10-12-1997",

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TY - JOUR

T1 - Selective rerouting using simulated steady state system data

AU - Harmonosky, Catherine M.

AU - Farr, Robert H.

AU - Ni, Ming Chuan

PY - 1997

Y1 - 1997

N2 - Effective operational control of a manufacturing system that has routing flexibility is dependent upon being able to make informed real-time decisions in the event of a system disruption, such as a machine breakdown or parts shortage. This paper presents a methodology for making a real-time selective rerouting decision using steady-state system performance estimates from simulation models run a priori to any system disturbance. The approach is to create a relatively simple tool based on simulated long-term system performance data. Evaluation of the effectiveness of the approach is based upon system performance measures of average flowtime and average throughput.

AB - Effective operational control of a manufacturing system that has routing flexibility is dependent upon being able to make informed real-time decisions in the event of a system disruption, such as a machine breakdown or parts shortage. This paper presents a methodology for making a real-time selective rerouting decision using steady-state system performance estimates from simulation models run a priori to any system disturbance. The approach is to create a relatively simple tool based on simulated long-term system performance data. Evaluation of the effectiveness of the approach is based upon system performance measures of average flowtime and average throughput.

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M3 - Conference article

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JO - Winter Simulation Conference Proceedings

JF - Winter Simulation Conference Proceedings

T2 - Proceedings of the 1997 Winter Simulation Conference

Y2 - 7 December 1997 through 10 December 1997

ER -

Selective rerouting using simulated steady state system data

Abstract

All Science Journal Classification (ASJC) codes

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