Abstract
A cycle time-throughput (CT-TH) curve, which quantifies the relationship of long-run average cycle time to throughput rate, plays an important role in strategic planning for manufacturing systems. In this paper, a nonlinear regression metamodel supported by queueing theory is developed to represent the underlying CT-TH curve implied by a manufacturing simulation model. To estimate the model efficiently, simulation experiments are built up sequentially using a multistage procedure. Extensive numerical experiments are presented to demonstrate the effectiveness of the proposed procedure.
Original language | English (US) |
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Pages (from-to) | 78-93 |
Number of pages | 16 |
Journal | Naval Research Logistics |
Volume | 54 |
Issue number | 1 |
DOIs | |
State | Published - Feb 2007 |
Keywords
- Design of experiments
- Discrete event simulation
- Queueing
- Response surface modeling
- Semiconductor manufacturing
ASJC Scopus subject areas
- Modeling and Simulation
- Ocean Engineering
- Management Science and Operations Research