DocumentCode :
409240
Title :
Application of Statistical Process Control (SPC) in the manufacturing of medical accelerators
Author :
Hanna, S.M.
Author_Institution :
Siemens Medical Solutions USA, Inc., Concord, CA, USA
Volume :
2
fYear :
2003
fDate :
12-16 May 2003
Firstpage :
1077
Abstract :
Most radiation therapy machines are based on microwave linear accelerators. Manufacturing reliable accelerators and hence, reliable radiation therapy machines requires accurate, efficient, and well-controlled processes throughout the steps of electron accelerator manufacturing. Statistical Process Control (SPC) techniques are utilized at Siemens - Oncology Care Systems (OCS) to meet these requirements. SPC is routinely used to monitor different accelerator manufacturing processes. Analysis of the resulting data is used to initiate actions to preserve consistent and high-quality performance. This results in processes that are stable and predictable at both higher effective capacity and lower cost. In addition, it is expected that high-energy physics projects such as the Next Linear Collider (NLC) should benefit from these techniques. Quality control techniques similar to those used by Siemens are essential to the fabrication of the large number of cavities and accelerator sections in an industrial environment.
Keywords :
biomedical equipment; electron accelerators; linear accelerators; manufacturing processes; quality management; radiation therapy; statistical process control; Siemens Oncology Care Systems; accelerator sections; cavities; cost; effective capacity; electron accelerator manufacturing; industrial environment; manufacturing processes; medical accelerators; microwave linear accelerators; quality control techniques; radiation therapy machines; statistical process control; Acceleration; Biomedical applications of radiation; Costs; Electron accelerators; Linear accelerators; Manufacturing processes; Monitoring; Oncology; Performance analysis; Process control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Particle Accelerator Conference, 2003. PAC 2003. Proceedings of the
ISSN :
1063-3928
Print_ISBN :
0-7803-7738-9
Type :
conf
DOI :
10.1109/PAC.2003.1289610
Filename :
1289610
Link To Document :
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