Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Singh, Nidhi; Arora, Rashmi; Arya, Prabha; Dadwal, Sapna; Upreti, Kamal Title A name given to the resource Navigating the Ripple Effect: A Risk-Resilient Framework for Supply Chain Optimization Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived 2025 World Skills Conference on Universal Data Analytics and Sciences, WorldSUAS 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/WorldSUAS66815.2025.11199081" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/WorldSUAS66815.2025.11199081</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105022288310?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105022288310?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Singh N., G D Goenka University, Department of Managment, Haryana, India; Arora R., G D Goenka University, Department of Managment, Haryana, India; Arya P., G D Goenka University, Department of Managment, Haryana, India; Dadwal S., DPG Institute of Technology and Management, Department of Managment, Gurugram, India; Upreti K., Christ University Delhi NCR, Department of Computer Science, Ghaziabad, India Description An account of the resource Supply chains around worldwide are growing increasingly vulnerable to intricate and interrelated hazards, such as localized disruptions, ie. the COVID-19 pandemic - have repercussions that affect manufacturers, suppliers, and buying habits in other geographical areas. This study offers a risk-resilient paradigm for supply chain optimization that combines cutting-edge risk mitigation and recovery techniques with conventional efficiency-driven tactics. The framework tackles both short-term operational issues and long-term sustainability objectives by fusing lean management, scenario-based stochastic demonstrating, Bayesian network analysis, and digital technologies like blockchain and artificial intelligence. In order to reduce the spread of disruptions and enhance decision-making in the face of uncertainty, this work highlights the significance of supplier collaboration, decentralized planning, and predictive analytics. This paper includes a thorough strategy for managing the ripple effect, improving supply chain adaptation, and guaranteeing continuous value delivery in unstable circumstances using comparative analysis and data from recent literature. 2025 IEEE. Subject The topic of the resource Artificial Intelligence; blockchain; covid-19; global supply chain Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833153925-2; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online