A menu system featuring SAS/QC for monitoring alpha detector performance
Statistical Process Control (SPC) can be described as a systematic method for improving the quality of production processes by analyzing, quantifying, and classifying the variation of processes with the goal of controlling and reducing the variation. It is often difficult to successfully implement and benefit from SPC in a production environment due to problems such as untimely feedback of critical process changes, seemingly unmanageable amounts of data, and lack of training in SPC methodology. The implementation of user-friendly menu systems created using SAS software can be effective in eliminating these problems. This paper addresses a real-life SPC application encountered at the Rocky Flats Nuclear Weapons Plant that was solved using SAS/AF and SAS/QC software under the VMS operating system. Presented is a description of the application, a discussion of the development stages involved with the project, and an overview of additional applications developed for the user. 2 refs., 8 figs.
- Research Organization:
- EG and G Rocky Flats, Inc., Golden, CO (United States). Rocky Flats Plant
- Sponsoring Organization:
- USDOE; USDOE, Washington, DC (United States)
- DOE Contract Number:
- AC34-90DP62349
- OSTI ID:
- 5815671
- Report Number(s):
- RFP-4482; CONF-920426-1; ON: DE91016610
- Resource Relation:
- Conference: 17. annual atomic spectroscopy (SAS) users group international symposium, Honolulu, HI (United States), 12 Apr 1992
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
ALPHA SPECTROMETERS
MONITORING
PROCESS CONTROL
PERFORMANCE
RADIATION DETECTION
ROCKY FLATS PLANT
S CODES
STATISTICAL MODELS
COMPUTER CODES
CONTROL
DETECTION
MATHEMATICAL MODELS
MEASURING INSTRUMENTS
NATIONAL ORGANIZATIONS
SPECTROMETERS
US AEC
US DOE
US ERDA
US ORGANIZATIONS
440101* - Radiation Instrumentation- General Detectors or Monitors & Radiometric Instruments
990200 - Mathematics & Computers