Estimating cycle time percentile curves for manufacturing systems via simulation

Yang, Feng and Ankenman, Bruce E. and Nelson, B. L. (2008) Estimating cycle time percentile curves for manufacturing systems via simulation. INFORMS Journal on Computing, 20 (4). pp. 628-643. ISSN 1091-9856

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Abstract

Cycle time-throughput (CT-TH) percentile curves quantify the relationship between percentiles of cycle time and factory throughput, and they can play an important role in strategic planning for manufacturing systems. In this paper, a highly flexible distribution, the generalized gamma, is used to represent the underlying distribution of cycle time. To obtain CT-TH percentile curves, we use a factory simulation to fit metamodels for the first three CT-TH moment curves throughout the throughput range of interest, determine the parameters of the generalized gamma by matching moments, and obtain any percentile of interest by inverting the distribution. To insure efficiency and control estimation error, simulation experiments are built up sequentially using a multistage procedure. Numerical results are presented to demonstrate the effectiveness of the approach.

Item Type:
Journal Article
Journal or Publication Title:
INFORMS Journal on Computing
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1706
Subjects:
ID Code:
65046
Deposited By:
Deposited On:
14 Jun 2013 12:48
Refereed?:
Yes
Published?:
Published
Last Modified:
16 Nov 2020 03:38