Statistical Approaches to Follow Industrial Processes and their Application to Data from Prototype Dipole Collars

This note describes some statistical methods that could be used to follow the industrial production of the main dipole components. The aim of the analysis is to establish an online procedure to study the data measured in the firms in charge of the component production. The presented analysis was app...

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Detalles Bibliográficos
Autores principales: Fessia, P, Lanza, C, Perini, D
Lenguaje:eng
Publicado: 2000
Materias:
Accelerators and Storage Rings
Acceso en línea:http://cds.cern.ch/record/691859
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author Fessia, P
Lanza, C
Perini, D
author_facet Fessia, P
Lanza, C
Perini, D
author_sort Fessia, P
collection CERN
description This note describes some statistical methods that could be used to follow the industrial production of the main dipole components. The aim of the analysis is to establish an online procedure to study the data measured in the firms in charge of the component production. The presented analysis was applied for the collars, but it can be easily extended to other components. The aim is to try to identify the most suitable method to minimise the cost of quality and the non-conforming fraction of produced and delivered pieces. The methods and their application are described, and when they are not directly applicable, possible solutions are shown.
id cern-691859
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2000
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spelling cern-6918592023-05-31T13:25:06Zhttp://cds.cern.ch/record/691859engFessia, PLanza, CPerini, DStatistical Approaches to Follow Industrial Processes and their Application to Data from Prototype Dipole CollarsAccelerators and Storage RingsThis note describes some statistical methods that could be used to follow the industrial production of the main dipole components. The aim of the analysis is to establish an online procedure to study the data measured in the firms in charge of the component production. The presented analysis was applied for the collars, but it can be easily extended to other components. The aim is to try to identify the most suitable method to minimise the cost of quality and the non-conforming fraction of produced and delivered pieces. The methods and their application are described, and when they are not directly applicable, possible solutions are shown.LHC-PROJECT-NOTE-246oai:cds.cern.ch:6918592000-12-13
spellingShingle Accelerators and Storage Rings
Fessia, P
Lanza, C
Perini, D
Statistical Approaches to Follow Industrial Processes and their Application to Data from Prototype Dipole Collars
title Statistical Approaches to Follow Industrial Processes and their Application to Data from Prototype Dipole Collars
title_full Statistical Approaches to Follow Industrial Processes and their Application to Data from Prototype Dipole Collars
title_fullStr Statistical Approaches to Follow Industrial Processes and their Application to Data from Prototype Dipole Collars
title_full_unstemmed Statistical Approaches to Follow Industrial Processes and their Application to Data from Prototype Dipole Collars
title_short Statistical Approaches to Follow Industrial Processes and their Application to Data from Prototype Dipole Collars
title_sort statistical approaches to follow industrial processes and their application to data from prototype dipole collars
topic Accelerators and Storage Rings
url http://cds.cern.ch/record/691859
work_keys_str_mv AT fessiap statisticalapproachestofollowindustrialprocessesandtheirapplicationtodatafromprototypedipolecollars
AT lanzac statisticalapproachestofollowindustrialprocessesandtheirapplicationtodatafromprototypedipolecollars
AT perinid statisticalapproachestofollowindustrialprocessesandtheirapplicationtodatafromprototypedipolecollars

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