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Lessons Learned From Automation of Nonconformance Reporting (NCR) Process at Los Alamos National Laboratory (LANL)

[+] Author Affiliations
Shyla A. McFarland, Taunia S. Van Valkenburg, Daniel J. Tepley, Ernie F. Petru

Los Alamos National Laboratory, Los Alamos, NM

Gary M. Sandquist

Applied Science Professionals, Salt Lake City, UT

Paper No. ICONE21-15439, pp. V003T07A008; 3 pages
doi:10.1115/ICONE21-15439
From:
  • 2013 21st International Conference on Nuclear Engineering
  • Volume 3: Nuclear Safety and Security; Codes, Standards, Licensing and Regulatory Issues; Computational Fluid Dynamics and Coupled Codes
  • Chengdu, China, July 29–August 2, 2013
  • Conference Sponsors: Nuclear Engineering Division
  • ISBN: 978-0-7918-5580-5
  • Copyright © 2013 by ASME

abstract

The Los Alamos National Laboratory (LANL) Quality Performance and Assurance (QPA) Division was tasked with the opportunity to improve the NCR process and to support ASME NQA-1-2008 and ASME NQA-1A-2009; Quality Assurance Requirements for Nuclear Facility Applications [1] compliance. This process improvement plan involved input from NCR Coordinators, Engineering, Project Management, Facility Operations, Suspect Counterfeit Item Coordinators, and Waste Certifying Officials, among others. The focus of the project was to fully automate the NCR process through a phased systematic approach that would be useable to a wide audience. During the short and long-term automation process development for nuclear and non-nuclear facility nonconforming items, noteworthy benefits and lessons learned were identified and implemented.

Copyright © 2013 by ASME

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