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Process capability studies in the pulp and paper industry

Thesis (MScFor)--Stellenbosch University, 1991.

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Bibliographic Details
Main Author: Botha, Adriaan Hendrikus
Other Authors: Gerischer, R. R. G.
Format: Thesis
Language:en_ZA
Published: Stellenbosch : Stellenbosch University 2012
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access_status_str Open Access
author Botha, Adriaan Hendrikus
author2 Gerischer, R. R. G.
author_browse Botha, Adriaan Hendrikus
Gerischer, R. R. G.
author_facet Gerischer, R. R. G.
Botha, Adriaan Hendrikus
author_sort Botha, Adriaan Hendrikus
collection Thesis
dc_rights_str_mv Stellenbosch University
description Thesis (MScFor)--Stellenbosch University, 1991.
format Thesis
id oai:scholar.sun.ac.za:10019.1/69381
institution Stellenbosch University (South Africa)
language en_ZA
last_indexed 2026-06-10T12:43:14.822Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository
publishDate 2012
publishDateRange 2012
publishDateSort 2012
publisher Stellenbosch : Stellenbosch University
publisherStr Stellenbosch : Stellenbosch University
record_format dspace
source_str SUNScholar — Stellenbosch University Repository
spelling oai:scholar.sun.ac.za:10019.1/69381 Process capability studies in the pulp and paper industry Botha, Adriaan Hendrikus Gerischer, R. R. G. Stellenbosch University. Faculty of AgriSciences. Dept. of Forest and Wood Sciences. Wood-pulp industry Paper industry Process control -- Statistical methods UCTD Thesis (MScFor)--Stellenbosch University, 1991. ENGLISH ABSTRACT: In every manufacturing operation there is variability, and the variability becomes evident whenever a quality characteristic of the product is measured. The concepts of variability, capability and statistical process control are explained, and the various capability indices are briefly discussed. Since it is important to have a reliable measurement system before statistical process control can be implemented in a manufacturing system, some examples are given of ways to determine precision of measurement and inspector accuracy and reproducibility. Several case studies showing various procedures for the determination of process capability are presented, and other potential applications in future projects are outlined. AFRIKAANSE OPSOMMING: Variasie kom in elke vervaardigingsbedryf voor, en daardie variasie word elke keer wanneer 'n gehalte-eienskap van die produk gemeet word, te voorskyn gebring. Die begrippe variasie, prosesvermoë en statistiese prosesbeheer word verduidelik en die verskillende indekse van prosesvermoë word kortliks bespreek. Aangesien dit belangrik is om oor 'n betroubare meetsisteem te beskik alvorens statistiese prosesbeheer in die vervaardigingsbedryf toegepas kan word, word enkele voorbeelde gegee wat aantoon hoe noukeurigheid en akkuraatheid bepaal kan word. Verskeie gevallestudies wat die verskillende prosedures vir die bepaling van prosesvermoë illustreer, word aangebied. 'n Kort oorsig word gegee van ander moontlike toepassingsgebiede in die pulp en papier-industrie. Masters 2012-08-27T12:27:03Z 2012-08-27T12:27:03Z 1991 Thesis http://hdl.handle.net/10019.1/69381 en_ZA Stellenbosch University 117 pages : illustrations application/pdf Stellenbosch : Stellenbosch University
spellingShingle Wood-pulp industry
Paper industry
Process control -- Statistical methods
UCTD
Botha, Adriaan Hendrikus
Process capability studies in the pulp and paper industry
title Process capability studies in the pulp and paper industry
title_full Process capability studies in the pulp and paper industry
title_fullStr Process capability studies in the pulp and paper industry
title_full_unstemmed Process capability studies in the pulp and paper industry
title_short Process capability studies in the pulp and paper industry
title_sort process capability studies in the pulp and paper industry
topic Wood-pulp industry
Paper industry
Process control -- Statistical methods
UCTD
url http://hdl.handle.net/10019.1/69381
work_keys_str_mv AT bothaadriaanhendrikus processcapabilitystudiesinthepulpandpaperindustry