Integrating Safety and Lessons-Learned Data with Human Performance for Successful Management and Oversight

Conference · Tue Jul 01 04:00:00 EDT 2008

OSTI ID:21326029

Prevette, S S; Bilson, H E ^[1]

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1. Fluor Hanford, Inc., Richland WA (United States)

This paper documents the improvements Fluor Hanford, Inc. (Fluor Hanford) is making in analyzing and using safety-related and lessons-learned data in cleaning up the U.S. Department of Energy's (DOE's) site at Hanford in southeastern Washington state. Results of the application of Statistical Process Control (SPC) and Dashboards to support planning and decision making have been shared at past Waste Management conferences. Recently, Fluor Hanford has implemented and refined a process called the 'Data Analysis Working Group' to integrate data from several sources, including opinions from subject-matter experts. The process also includes a risk-ranking tool used to prioritize potential risks and past problems for management and oversight of the Hanford cleanup. Human Performance and Lessons Learned information also is included in this process. Fluor Hanford has applied SPC in a non-traditional (that is non-manufacturing) manner. Dr. Shewhart's 75-year-old control-chart methodologies have been updated to modern data processing, but are still founded on his sound, tried and true principles. These methods are playing a key role in safety and quality at Hanford. The performance-indicator system used by Fluor Hanford has been featured by several professional societies in their publications, primarily the American Society of Safety Engineers and the American Society for Quality. The system also has been featured in past Waste Management conferences. Eleven years ago, Fluor Hanford's statistician produced 300 data files and accompanying charts a month. Today, those numbers exceed 3,000 a month, almost one chart for every employee. This activity also includes entering data for approximately 500 safety inspections each month. The challenge is in effectively analyzing and prioritizing this information and providing it to senior management to make pro-active decisions and policies. That challenge is being met by Fluor's Data Analysis Working Group process. (authors)

• Research Organization: WM Symposia, 1628 E. Southern Avenue, Suite 9 - 332, Tempe, AZ 85282 (United States)
• OSTI ID: 21326029
• Report Number(s): INIS-US--10-WM-08053
• Country of Publication: United States
• Language: English

Related Subjects

12 MANAGEMENT OF RADIOACTIVE AND NON-RADIOACTIVE WASTES FROM NUCLEAR FACILITIES
99 GENERAL AND MISCELLANEOUS
DATA ANALYSIS
DATA PROCESSING
DECISION MAKING
PERFORMANCE
PLANNING
PROCESS CONTROL
RADIOACTIVE WASTE MANAGEMENT
SAFETY