Fractional factorial designs for two-step production processes

E.E.M. Berkum, van; E.J. Habers; Peter Ven, van de; J.Th.M. Wijnen

doi:10.1016/j.jspi.2003.10.012

Fractional factorial designs for two-step production processes

E.E.M. Berkum, van, E.J. Habers, Peter Ven, van de, J.Th.M. Wijnen

Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review

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In this paper a method for constructing efficient two-level fractional factorial designs for the analysis of two-step production processes is described. First a design for analyzing the first step of the production process is chosen. The chosen design is then extended to one for analyzing both steps. The design is extended in a such a way that the number of different combinations for the first step is small.

Originele taal-2	Engels
Pagina's (van-tot)	53-62
Tijdschrift	Journal of Statistical Planning and Inference
Volume	132
Nummer van het tijdschrift	1-2
DOI's	https://doi.org/10.1016/j.jspi.2003.10.012
Status	Gepubliceerd - 2005

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title = "Fractional factorial designs for two-step production processes",

abstract = "In this paper a method for constructing efficient two-level fractional factorial designs for the analysis of two-step production processes is described. First a design for analyzing the first step of the production process is chosen. The chosen design is then extended to one for analyzing both steps. The design is extended in a such a way that the number of different combinations for the first step is small.",

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AB - In this paper a method for constructing efficient two-level fractional factorial designs for the analysis of two-step production processes is described. First a design for analyzing the first step of the production process is chosen. The chosen design is then extended to one for analyzing both steps. The design is extended in a such a way that the number of different combinations for the first step is small.

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DO - 10.1016/j.jspi.2003.10.012

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JO - Journal of Statistical Planning and Inference

JF - Journal of Statistical Planning and Inference

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ER -

Fractional factorial designs for two-step production processes

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