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

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

doi:10.1080/09537287.2010.490026

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

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

^*Corresponding author for this work

Industrial Engineering and Management Sciences

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

7 Scopus citations

Abstract

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

Original language	English (US)
Pages (from-to)	50-68
Number of pages	19
Journal	Production Planning and Control
Volume	22
Issue number	1
DOIs	https://doi.org/10.1080/09537287.2010.490026
State	Published - Jan 1 2011

Keywords

design of experiments
discrete event simulation
queueing
response surface modelling
semiconductor manufacturing

ASJC Scopus subject areas

Computer Science Applications
Strategy and Management
Management Science and Operations Research
Industrial and Manufacturing Engineering

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KW - response surface modelling

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

Abstract

Keywords

ASJC Scopus subject areas

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