Metamodeling for cycle time-throughput-product mix surfaces using progressive model fitting

Feng Yang; Jingang Liu; Mustafa Tongarlak; Bruce E Ankenman; Barry L Nelson

doi:10.1109/WSC.2007.4419619

Metamodeling for cycle time-throughput-product mix surfaces using progressive model fitting

Feng Yang^*, Jingang Liu, Mustafa Tongarlak, Bruce E Ankenman, Barry L Nelson

^*Corresponding author for this work

Industrial Engineering and Management Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Scopus citations

Abstract

A simulation-based methodology is proposed to map the mean of steady-state cycle time as a function of throughput and product mix for manufacturing systems. Nonlinear regression models motivated by queueing analysis are assumed for the underlying response surface. To insure efficiency and control estimation error, simulation experiments are built up sequentially using a multistage procedure to collect data for the fitting of the models. The resulting response surface is able to provide a cycle-time estimate for any throughput and any product mix, and thus allows the decision maker to instantly investigate options and trade offs regarding their production planning.

Original language	English (US)
Title of host publication	Proceedings of the 2007 Winter Simulation Conference, WSC
Pages	322-330
Number of pages	9
DOIs	https://doi.org/10.1109/WSC.2007.4419619
State	Published - Dec 1 2007
Event	2007 Winter Simulation Conference, WSC - Washington, DC, United States Duration: Dec 9 2007 → Dec 12 2007

Publication series

Name	Proceedings - Winter Simulation Conference
ISSN (Print)	0891-7736

Other

Other	2007 Winter Simulation Conference, WSC
Country/Territory	United States
City	Washington, DC
Period	12/9/07 → 12/12/07

ASJC Scopus subject areas

Software
Modeling and Simulation
Computer Science Applications

Access to Document

10.1109/WSC.2007.4419619

Cite this

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title = "Metamodeling for cycle time-throughput-product mix surfaces using progressive model fitting",

abstract = "A simulation-based methodology is proposed to map the mean of steady-state cycle time as a function of throughput and product mix for manufacturing systems. Nonlinear regression models motivated by queueing analysis are assumed for the underlying response surface. To insure efficiency and control estimation error, simulation experiments are built up sequentially using a multistage procedure to collect data for the fitting of the models. The resulting response surface is able to provide a cycle-time estimate for any throughput and any product mix, and thus allows the decision maker to instantly investigate options and trade offs regarding their production planning.",

author = "Feng Yang and Jingang Liu and Mustafa Tongarlak and Ankenman, {Bruce E} and Nelson, {Barry L}",

year = "2007",

month = dec,

day = "1",

doi = "10.1109/WSC.2007.4419619",

language = "English (US)",

isbn = "1424413060",

series = "Proceedings - Winter Simulation Conference",

pages = "322--330",

booktitle = "Proceedings of the 2007 Winter Simulation Conference, WSC",

note = "2007 Winter Simulation Conference, WSC ; Conference date: 09-12-2007 Through 12-12-2007",

}

Yang, F, Liu, J, Tongarlak, M, Ankenman, BE & Nelson, BL 2007, Metamodeling for cycle time-throughput-product mix surfaces using progressive model fitting. in Proceedings of the 2007 Winter Simulation Conference, WSC., 4419619, Proceedings - Winter Simulation Conference, pp. 322-330, 2007 Winter Simulation Conference, WSC, Washington, DC, United States, 12/9/07. https://doi.org/10.1109/WSC.2007.4419619

TY - GEN

T1 - Metamodeling for cycle time-throughput-product mix surfaces using progressive model fitting

AU - Yang, Feng

AU - Liu, Jingang

AU - Tongarlak, Mustafa

AU - Ankenman, Bruce E

AU - Nelson, Barry L

PY - 2007/12/1

Y1 - 2007/12/1

N2 - A simulation-based methodology is proposed to map the mean of steady-state cycle time as a function of throughput and product mix for manufacturing systems. Nonlinear regression models motivated by queueing analysis are assumed for the underlying response surface. To insure efficiency and control estimation error, simulation experiments are built up sequentially using a multistage procedure to collect data for the fitting of the models. The resulting response surface is able to provide a cycle-time estimate for any throughput and any product mix, and thus allows the decision maker to instantly investigate options and trade offs regarding their production planning.

AB - A simulation-based methodology is proposed to map the mean of steady-state cycle time as a function of throughput and product mix for manufacturing systems. Nonlinear regression models motivated by queueing analysis are assumed for the underlying response surface. To insure efficiency and control estimation error, simulation experiments are built up sequentially using a multistage procedure to collect data for the fitting of the models. The resulting response surface is able to provide a cycle-time estimate for any throughput and any product mix, and thus allows the decision maker to instantly investigate options and trade offs regarding their production planning.

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DO - 10.1109/WSC.2007.4419619

M3 - Conference contribution

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SN - 1424413060

SN - 9781424413065

T3 - Proceedings - Winter Simulation Conference

SP - 322

EP - 330

BT - Proceedings of the 2007 Winter Simulation Conference, WSC

T2 - 2007 Winter Simulation Conference, WSC

Y2 - 9 December 2007 through 12 December 2007

ER -

Metamodeling for cycle time-throughput-product mix surfaces using progressive model fitting

Abstract

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