Approximate Queueing Network Analysis for Nonstationary Demand

Ronald Askin; Girish Jampani Hanumantha

doi:10.1016/j.ifacol.2016.07.784

Approximate Queueing Network Analysis for Nonstationary Demand

Ronald Askin, Girish Jampani Hanumantha

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

Analytical methods for product-form open and closed networks provide a fast, computationally efficient method for obtaining first order moment estimates of steady-state manufacturing system performance. In this paper we expand the use of efficient algorithms for steady-state analysis to develop approximate performance measures under dynamic conditions. Good approximations are shown to be obtainable for production system output under non-stationary demand and capacity.

Original language	English (US)
Pages (from-to)	1502-1507
Number of pages	6
Journal	IFAC-PapersOnLine
Volume	49
Issue number	12
DOIs	https://doi.org/10.1016/j.ifacol.2016.07.784
State	Published - 2016

Keywords

buffer sizes
nonstationary demand
production rate
Queueing network

ASJC Scopus subject areas

Control and Systems Engineering

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10.1016/j.ifacol.2016.07.784

Cite this

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title = "Approximate Queueing Network Analysis for Nonstationary Demand",

abstract = "Analytical methods for product-form open and closed networks provide a fast, computationally efficient method for obtaining first order moment estimates of steady-state manufacturing system performance. In this paper we expand the use of efficient algorithms for steady-state analysis to develop approximate performance measures under dynamic conditions. Good approximations are shown to be obtainable for production system output under non-stationary demand and capacity.",

keywords = "buffer sizes, nonstationary demand, production rate, Queueing network",

author = "Ronald Askin and Hanumantha, {Girish Jampani}",

year = "2016",

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T1 - Approximate Queueing Network Analysis for Nonstationary Demand

AU - Askin, Ronald

AU - Hanumantha, Girish Jampani

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AB - Analytical methods for product-form open and closed networks provide a fast, computationally efficient method for obtaining first order moment estimates of steady-state manufacturing system performance. In this paper we expand the use of efficient algorithms for steady-state analysis to develop approximate performance measures under dynamic conditions. Good approximations are shown to be obtainable for production system output under non-stationary demand and capacity.

KW - buffer sizes

KW - nonstationary demand

KW - production rate

KW - Queueing network

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DO - 10.1016/j.ifacol.2016.07.784

M3 - Article

AN - SCOPUS:84992410723

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VL - 49

SP - 1502

EP - 1507

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

IS - 12

ER -

Approximate Queueing Network Analysis for Nonstationary Demand

Abstract

Keywords

ASJC Scopus subject areas

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