Indirect cycle time quantile estimation using the Cornish-Fisher expansion

Jennifer M. Bekki; John W. Fowler; Gerald T. MacKulak; Barry L. Nelson

doi:10.1080/07408170903019135

Indirect cycle time quantile estimation using the Cornish-Fisher expansion

Jennifer M. Bekki, John W. Fowler, Gerald T. MacKulak, Barry L. Nelson

Industrial Engineering and Management Sciences

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

26 Scopus citations

Abstract

This paper proposes a technique for estimating steady-state quantiles from discrete-event simulation models, with particular attention paid to cycle time quantiles of manufacturing systems. The technique is based on the Cornish-Fisher expansion, justified through an extensive empirical study, and is supported with mathematical analysis. It is shown that the technique provides precise and accurate estimates for the most commonly estimated quantiles with minimal data storage and low computational requirements.

Original language	English (US)
Pages (from-to)	31-44
Number of pages	14
Journal	IIE Transactions (Institute of Industrial Engineers)
Volume	42
Issue number	1
DOIs	https://doi.org/10.1080/07408170903019135
State	Published - Jan 2010

Funding

This research was supported in part by grant 04-F1-1224 from the Factory Operations Research Center (FORCe) that is jointly funded by the Semiconductor Research Corporation (SRC) and by International SEMATECH and in part by a doctoral fellowship sponsored by Intel Corporation and SRC. We also want to thank the referees for their comments and suggestions, which undoubtedly improved the quality of the manuscript.

Keywords

Cornish-Fisher expansion
Lead time setting
Manufacturing
Quantile estimation
Simulation

ASJC Scopus subject areas

Industrial and Manufacturing Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1080/07408170903019135

Cite this

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Indirect cycle time quantile estimation using the Cornish-Fisher expansion

Abstract

Funding

Keywords

ASJC Scopus subject areas

UN SDGs

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