DocumentCode
971636
Title
Application of the Learning Curve Analysis to the LHC Main Dipole Production: First Assessment
Author
Fessia, P. ; Rossi, L. ; Krog-Pedersen, S. Stine
Author_Institution
CERN-Accelerator Technol., Geneva
Volume
16
Issue
2
fYear
2006
fDate
6/1/2006 12:00:00 AM
Firstpage
242
Lastpage
247
Abstract
About two third of the LHC main dipoles have been delivered by the three suppliers charged of the production. The training of the staff, mostly hired just for this manufacture, and the natural improvement of the procedures with the acquired experience, decrease naturally the time necessary for the assembly of a unit. The aim of this paper is to apply methodologies like the cost-based learning curves and the time-based learning curves to the LHC Main Dipole comparing the estimated learning percentage to the ones experienced in other industries. This type of analysis, still in a preliminary phase and here applied to about 40% of the total production of the LHC magnets that will end by 2006, shows that our production has a relatively high learning percentage and it is similar to aerospace and complex machine tools for new models. Therefore with the LHC project, accelerator magnets seem to have reached industrial maturity and this production can be used as bench mark for other large scientific projects implying series production
Keywords
accelerator magnets; industrial training; production management; proton accelerators; storage rings; superconducting magnets; synchrotrons; LHC magnets; LHC main dipole production; accelerator magnets; aerospace; complex machine tools; cost-based learning curves; industrial maturity; large scale superconductivity; learning curve analysis; production management; time-based learning curves; Accelerator magnets; Assembly; Costs; Helium; Large Hadron Collider; Large-scale systems; Logistics; Machinery production industries; Manufacturing automation; Manufacturing industries; Accelerator magnets; large scale superconductivity; production management;
fLanguage
English
Journal_Title
Applied Superconductivity, IEEE Transactions on
Publisher
ieee
ISSN
1051-8223
Type
jour
DOI
10.1109/TASC.2006.869992
Filename
1642835
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