 Center for High Reliability Performance
Welcome to the Department of Energy's Center for High Reliability Performance. High Reliability Science is the study of human performance in complex systems and includes: dynamic systems thinking; organizational behavior emphasizing reflective self assessment and learning; leadership; analysis of serious safety and operational events; techniques to preclude consequential error; human expertise and performance support tools; and shaping organizational cultures that align organizational members to achieve safe performance of vital missions. The application of high reliability principles in numerous organizations (medical, nuclear, aviation, etc.) has resulted in improved safety, quality, and productivity. The Center exists as a resource for the Department's headquarters and field employees and contractors to implement and enhance high reliability initiatives; in particular High Reliability theory and practice, Human Performance Improvement, and Safety Culture. It provides resources, references, and training; and acts as a clearing house for high reliability lessons learned from the DOE complex, other government organizations, and private industry; and serves as the DOE Liaison with the Institute of Nuclear Power Operations. This web site is designed to share information on the purpose, process, and methods of High Reliability science which will assist you in implementation of practices to improve safety, quality, and productivity.
- High Reliability Performance Fundamentals: Background regarding the concepts of Human Reliability with emphasis on Human Performance Improvement.
- Assistance: How the Center can assist with evaluation, planning, and implementation of High Reliability practices in your organization.
- Resources: Documents describing High Reliability principles and practices - background and application information.
- Related Sites (links): A listing of Human Performance related web sites.
Contact Us: W. Earl Carnes or phone: 301-903-5255 with your questions and comments.
This page was last updated on September 18, 2012
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