{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T01:38:04Z","timestamp":1760060284006,"version":"build-2065373602"},"reference-count":24,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2025,8,20]],"date-time":"2025-08-20T00:00:00Z","timestamp":1755648000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Princess Nourah bint Abdulrahman University","award":["PNURSP2025R908"],"award-info":[{"award-number":["PNURSP2025R908"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>Standard Operating Procedures (SOPs) serve a critical role in complex systems operations, guiding operator response during normal and emergency scenarios. This study compares 29 SOPs (517 steps) across three domains with varying operator selection rigor: airline operations, Habitable Airlock (HAL) operations, and semi-autonomous vehicles. Using the extended Procedure Representation Language (e-PRL) framework, each step was decomposed into perceptual, cognitive, and motor components, enabling quantitative analysis of step types, memory demands, and training requirements. Monte Carlo simulations compared Time on Procedure against the Allowable Operational Time Window to predict failure rates. The analysis revealed three universal vulnerabilities: verification steps missing following waiting requirements (70% in airline operations, 58% in HAL operations, and 25% in autonomous vehicle procedures), ambiguous perceptual cues (15\u201348% of steps), and excessive memory demands (highest in HAL procedures at 71% average recall score). Procedure failure probabilities varied significantly (5.72% to 63.47% across domains), with autonomous vehicle procedures showing the greatest variability despite minimal operator selection. Counterintuitively, Habitable Airlock procedures requiring the most selective operators had the highest memory demands, suggesting that rigorous operator selection may compensate for procedure design deficiencies. These findings establish that procedure design approaches vary by domain based on assumptions about operator capabilities rather than universal human factors principles.<\/jats:p>","DOI":"10.3390\/systems13080717","type":"journal-article","created":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T08:02:44Z","timestamp":1755763364000},"page":"717","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Comparative Analysis of Standard Operating Procedures Across Safety-Critical Domains: Lessons for Human Performance and Safety Engineering"],"prefix":"10.3390","volume":"13","author":[{"given":"Jomana A.","family":"Bashatah","sequence":"first","affiliation":[{"name":"Department of Industrial and Systems Engineering, College of Engineering, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3630-5394","authenticated-orcid":false,"given":"Lance","family":"Sherry","sequence":"additional","affiliation":[{"name":"Center for Air Transportation Systems Research, George Mason University, Fairfax, VA 22030, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,8,20]]},"reference":[{"key":"ref_1","unstructured":"Barshi, I., Mauro, R., Degani, A., and Loukopoulou, L. (2016). Designing Flightdeck Procedures, Report No. NASA\/TM-2016-219421."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"302","DOI":"10.1109\/3468.568739","article-title":"Procedures in complex systems: The airline cockpit","volume":"27","author":"Degani","year":"1997","journal-title":"IEEE Trans. Syst. Man Cybern.-Part A Syst. 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