Design and analysis of simulation experiments for manufacturing applications

Author

Law, Averill M.

Author_Institution

Simulation Modeling & Anal. Co., Tucson, AZ, USA

fYear

1990

fDate

9-12 Dec 1990

Firstpage

33

Lastpage

37

Abstract

The proper statistical design and analysis of simulation experiments is considered. A state-of-the-art and a practical discussion of this subject in the context of manufacturing systems is given. The article is based on the existing simulation literature as well as on experience in applying these techniques in numerous manufacturing projects. Types of. simulations with regard to output analysis are discussed, as well as measures of performance or parameters for each type. It is shown how to obtain a point estimator and confidence interval for each type of parameter

Keywords

digital simulation; manufacturing data processing; statistical analysis; confidence interval; manufacturing applications; manufacturing projects; manufacturing systems; output analysis; performance; point estimator; simulation experiments; state-of-the-art; statistical design; Analytical models; Computational modeling; Length measurement; Manufacturing systems; Performance analysis; Random variables; Statistical analysis; Throughput; Time measurement; Virtual manufacturing;

fLanguage

English

Publisher

ieee

Conference_Titel

Simulation Conference, 1990. Proceedings., Winter

Conference_Location

New Orleans, LA

Print_ISBN

0-911801-72-3

Type

conf

DOI

10.1109/WSC.1990.129483

Filename

129483