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

Research output: Contribution to journalArticlepeer-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 languageEnglish (US)
Pages (from-to)50-68
Number of pages19
JournalProduction Planning and Control
Volume22
Issue number1
DOIs
StatePublished - 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

Fingerprint Dive into the research topics of 'Metamodelling for cycle time-throughput-product mix surfaces using progressive model fitting'. Together they form a unique fingerprint.

Cite this