JOURNAL ARTICLE
Systems Theory Principles and Complex Systems Engineering Concepts for Protection and Resilience in Critical Infrastructure: Lessons from the Nuclear Sector.
Published In: Insight (2156-485X), 2025, v. 28, n. 1. P. 47 1 of 3
Database: Applied Science & Technology Source Ultimate 2 of 3
Authored By: Williams, Adam D. 3 of 3
Abstract
Part of the Presidential Policy Directive 21 (PPD‐21) (PPD 2013) mandate includes evaluating safety, security, and safeguards (or nonproliferation) mechanisms traditionally implemented within the nuclear reactors, materials, and waste sector of critical infrastructure—including a complex, dynamic set of risks and threats within an all‐hazards approach. In response, research out of Sandia National Laboratories (Sandia) explores the ability of systems theory principles (hierarchy and emergence) and complex systems engineering concepts (multidomain interdependence) to better understand and address these risks and threats. This Sandia research explores the safety, safeguards, and security risks of three different nuclear sector‐related activities—spent nuclear fuel transportation, small modular reactors, and portable nuclear power reactors—to investigate the complex and dynamic risk related to the PPD‐21‐mandated all‐hazards approach. This research showed that a systems‐theoretic approach can better identify inter‐dependencies, conflicts, gaps, and leverage points across traditional safety, security, and safeguards hazard mitigation strategies in the nuclear reactors, materials, and waste sector. As a result, mitigation strategies from applying systems theoretic principles and complex systems engineering concepts can be (1) designed to better capture interdependencies, (2) implemented to better align with real‐world operational uncertainties, and (3) evaluated as a systems‐level whole to better identify, characterize, and manage PPD‐21's all hazards strategies. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Insight (2156-485X). 2025/04, Vol. 28, Issue 1, p47
- Document Type:Article
- Subject Area:Engineering
- Publication Date:2025
- ISSN:2156485X
- DOI:10.1002/inst.12526
- Accession Number:184339011
- Copyright Statement:Copyright of Insight (2156-485X) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.