Weten door Meten aan digitaal gesimuleerde processen*)

H. J. M. Lombaers

Statistica Neerlandica, 1962, vol. 16, issue 4, 449-458

Abstract: Knowledge from measuring digital simulated processes Controling industrial processes demands knowledge of influencing factors. Measurement of those factors is often costly or difficult, sometimes impossible. Constructing a model of such a process may be the answer. One checks the model against the factors that can be measured and uses the results of calculations for factors that cannot be measured. These models should preferably be based on theoretical knowledge of the process, if available. Otherwise statistical models, correlating measurements without explaining them, can be used. When subsystems of the process are sufficiently well known, but interaction and autocorrelation are important, simulation models have proved to be very useful, especially when programmed on digital computers. Some illustrations are given of a heavy plate mill. Slab heating furnaces, mills and shears are treated individually and as components of the whole process.

Date: 1962
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1111/j.1467-9574.1962.tb01089.x

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:stanee:v:16:y:1962:i:4:p:449-458

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0039-0402

Access Statistics for this article

Statistica Neerlandica is currently edited by Miroslav Ristic, Marijtje van Duijn and Nan van Geloven

More articles in Statistica Neerlandica from Netherlands Society for Statistics and Operations Research
Bibliographic data for series maintained by Wiley Content Delivery ().