Object structure

Title:

Process Control Using Predicted Quality Data

Subtitle:

Raport Badawczy = Research Report ; RB/46/2013

Creator:

Hryniewicz, Olgierd. Autor ; Karpiński, Janusz. Autor

Publisher:

Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences

Place of publishing:

Warszawa

Date issued/created:

2013

Description:

24 stron ; 21 cm ; Bibliografia s. 24

Subject and Keywords:

Data mining ; Eksploracja danych ; Quality assessment ; Ocena jakości ; Process control ; Kontrola procesu

Abstract:

SPC procedures are usually designed to control stability of directly ob­served parameters of a process. However, when quality parameters of interest are related to reliability characteristics it is practically hardly possible to monitor such characteristics directly. Instead, we use some training data in order to build a model that is used for the prediction of the value of an unobservable variable of inter­est basing on the values of observed explanatory variables. Such prediction models have been developed for normally distributed characteristics, both observable and unobservable. However, when reliability is concerned the random variables of in­terest are usually described by non-normal distributions, and their mutual depen­dence may be quite complicated. In the paper we consider the model of a process when traditionally applied assumptions are violated. We show that in such a case some non-statistical prediction models proposed in the area of data-mining, such as Quinlan’s C4.5 decision tree, perform better than popular linear prediction models. However, new problems have to be considered when shifts in the levels of process parameters may influence the performance of applied classification algorithms.

Relation:

Raport Badawczy = Research Report

Resource type:

Text

Detailed Resource Type:

Raport

Source:

RB-2013-46

Language:

eng

Language of abstract:

eng

Rights:

Licencja Creative Commons Uznanie autorstwa 4.0

Terms of use:

Zasób chroniony prawem autorskim. [CC BY 4.0 Międzynarodowe] Korzystanie dozwolone zgodnie z licencją Creative Commons Uznanie autorstwa 4.0, której pełne postanowienia dostępne są pod adresem: ; -

Digitizing institution:

Instytut Badań Systemowych Polskiej Akademii Nauk

Original in:

Biblioteka Instytutu Badań Systemowych PAN

Projects co-financed by:

Program Operacyjny Polska Cyfrowa, lata 2014-2020, Działanie 2.3 : Cyfrowa dostępność i użyteczność sektora publicznego; środki z Europejskiego Funduszu Rozwoju Regionalnego oraz współfinansowania krajowego z budżetu państwa

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