Mathematical principles of statistical quality control.

In an industrial process we usually set up a standard far the quality of a given kind of product. That is, we lay down specifications for weight, thickness, diameter, breaking strength, finish, etc. by which an article can definitely be classed as conforming or nonconforming, even if in many cases t...

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Bibliographic Details
Main Author: Michael, J.
Other Authors: Timell, T. (Supervisor)
Format: Others
Language:en
Published: McGill University 1955
Subjects:
Online Access:http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=110025
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spelling ndltd-LACETR-oai-collectionscanada.gc.ca-QMM.1100252014-02-13T04:06:21ZMathematical principles of statistical quality control.Michael, J.Mathematics.In an industrial process we usually set up a standard far the quality of a given kind of product. That is, we lay down specifications for weight, thickness, diameter, breaking strength, finish, etc. by which an article can definitely be classed as conforming or nonconforming, even if in many cases the specifications are partly arbitrary. We then try to make all units of the product conform with this standard. However, it is impossible to make all units exactly alike. Therefore, there is bound to be some variation in the quality of the product.McGill UniversityTimell, T. (Supervisor)1955Electronic Thesis or Dissertationapplication/pdfenalephsysno: NNNNNNNNNTheses scanned by McGill Library.All items in eScholarship@McGill are protected by copyright with all rights reserved unless otherwise indicated.Master of Science. (Department of Mathematics.) http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=110025
collection NDLTD
language en
format Others
sources NDLTD
topic Mathematics.
spellingShingle Mathematics.
Michael, J.
Mathematical principles of statistical quality control.
description In an industrial process we usually set up a standard far the quality of a given kind of product. That is, we lay down specifications for weight, thickness, diameter, breaking strength, finish, etc. by which an article can definitely be classed as conforming or nonconforming, even if in many cases the specifications are partly arbitrary. We then try to make all units of the product conform with this standard. However, it is impossible to make all units exactly alike. Therefore, there is bound to be some variation in the quality of the product.
author2 Timell, T. (Supervisor)
author_facet Timell, T. (Supervisor)
Michael, J.
author Michael, J.
author_sort Michael, J.
title Mathematical principles of statistical quality control.
title_short Mathematical principles of statistical quality control.
title_full Mathematical principles of statistical quality control.
title_fullStr Mathematical principles of statistical quality control.
title_full_unstemmed Mathematical principles of statistical quality control.
title_sort mathematical principles of statistical quality control.
publisher McGill University
publishDate 1955
url http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=110025
work_keys_str_mv AT michaelj mathematicalprinciplesofstatisticalqualitycontrol
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