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...
Main Author: | |
---|---|
Other Authors: | |
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 |
id |
ndltd-LACETR-oai-collectionscanada.gc.ca-QMM.110025 |
---|---|
record_format |
oai_dc |
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 |
_version_ |
1716645191174062080 |