{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T19:33:25Z","timestamp":1770752005084,"version":"3.50.0"},"reference-count":41,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T00:00:00Z","timestamp":1770681600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>This paper develops a reliability-based Decision Support System (DSS) for logistics networks, grounded in the Eurocode EN 1990 and Recommendations for Maritime Works ROM 0.0 framework. The DSS defines logistics-specific limit states (i.e., operational failure thresholds for the overall network) and computes annual exceedance probabilities through a multi-hazard fault-tree model. Its contribution is conceptual and regulatory: it transfers structural reliability principles to system-level assessment, generating auditable, norm-referenced indicators aligned with the EU Critical Entities Resilience Directive (CER) and the Network and Information Security Directive (NIS2). A central result is the Criticality Flip: Systemic vulnerability does not decline monotonically with hub density. Instead, risk shifts non-linearly between gateways and inland integrators, yielding a narrow operating range where the reliability margin (\u03b2) is maximized and annual limit-state exceedance is minimized. Beyond this range, additional hubs may provide limited\u2014or even adverse\u2014reliability improvement. The system operates as a compliance audit tool rather than a simulation engine: it evaluates whether a given network configuration meets declared reliability thresholds under multi-hazard scenarios, using standardized input formats and static topology. To support strategic decision-making, the DSS provides normalized and reproducible compliance indicators\u2014such as annual limit-state exceedance probabilities and the associated reliability margin (\u03b2) referenced to declared thresholds\u2014supporting cross-network benchmarking under CER and NIS2 constraints within an engineering reliability framework.<\/jats:p>","DOI":"10.3390\/systems14020191","type":"journal-article","created":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T12:07:06Z","timestamp":1770725226000},"page":"191","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Operationalizing Resilience in Critical Logistics Infrastructures: A Reliability-Based Decision Support System Grounded in Eurocode Standards"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-2847-809X","authenticated-orcid":false,"given":"Jos\u00e9","family":"Moyano Retamero","sequence":"first","affiliation":[{"name":"M\u00e1laga Port Authority, 29016 M\u00e1laga, Spain"},{"name":"Department of Transport, Territorial and Urban Planning Engineering, Technical University of Madrid, 28040 Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0614-8714","authenticated-orcid":false,"given":"Alberto","family":"Camarero Orive","sequence":"additional","affiliation":[{"name":"Department of Transport, Territorial and Urban Planning Engineering, Technical University of Madrid, 28040 Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2026,2,10]]},"reference":[{"key":"#cr-split#-ref_1.1","unstructured":"European Parliament, and Council of the European Union (2022). 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