PSAM 16 Conference Paper Overview
Welcome to the PSAM 16 Conference paper and speaker overview page.
Lead Author: Ben Chen Co-author(s): Bruce Hamilton, bhamilton@anl.gov
Dave Grabaskas, dgrabaskas@anl.gov
Mark Cunningham, mark.cunningham@anl.gov
Sinem Perk, sperk@anl.gov
| Success Path Analysis as a Recommended Practice for enhanced Quality in High Reliability Organizations |
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| Since 2012, Argonne National Laboratory has worked with the U.S. Bureau of Safety and Environmental Enforcement (BSEE) to develop and implement tools that support risk-informed decision making for the oil and gas industry. The Success Path Analysis Method that was developed helped visualize risk in an easy-to-understand way, provided a common language and systematic process for understanding and managing high-risk activities and equipment, enabled operational risk to be quantified, and proved to be an effective tool to facilitate communication and prioritize discussion topics among operators and BSEE with a focus on improving safety. A Success Path begins with a diagram of the hardware, software, and human actions needed to ensure safe operation of a system or component. Success Paths provide a "chain of causality" illustrating what (hardware, software, and human actions) must go right to ensure safe operations. Visualizing what must go right helps us understand, manage, and respond to what can fail. The benefits of the application of the Success Path Method in the work with BSEE has shown promise that this methodology may have broad applicability in improving safety and risk communication. Usages of which includes FMECA (Failure mode, effects, and criticality analysis), and HRO (high reliability organization) initiatives in high-risk industries (e.g., Oil & Gas, Health Care, Defense, Transportation). This project aims to generalize the Success Path Analysis methodology that was used in the BSEE work, and demonstrate how the approach satisfies the requirements associated with ISO9001 (Quality Management Systems). In addition, the work identifies the benefits and challenges of the Success Path Analysis methodology, and reviews some examples of the methodology in action. |
Paper YI289 Preview
Author and Presentation Info
Presentation only, a full paper is not available.
Lead Author Name: Yichao (Ben) Chen (yichao.chen@anl.gov)
Bio: Ben has experience working with multiple LWR fleets developing risk-informed applications across the US, working with PRA models of various plant sites, and more recently has been involved in a number of projects regarding the developing field of advanced reactor licensing and regulations under the Safety and Risk Assessment Group at Argonne National Laboratory. Ben is a member of the ANS/ASME Joint Committee on Nuclear Risk Management (JCNRM), and holds a Bachleor's Degree in Nuclear Engineering from the University of Wisconsin-Madison.
Country: United States of America
Company: Argonne National Lab
Job Title: Nuclear Engineer
Bio: Ben has experience working with multiple LWR fleets developing risk-informed applications across the US, working with PRA models of various plant sites, and more recently has been involved in a number of projects regarding the developing field of advanced reactor licensing and regulations under the Safety and Risk Assessment Group at Argonne National Laboratory. Ben is a member of the ANS/ASME Joint Committee on Nuclear Risk Management (JCNRM), and holds a Bachleor's Degree in Nuclear Engineering from the University of Wisconsin-Madison.
Country: United States of America
Company: Argonne National Lab
Job Title: Nuclear Engineer