Navigating the Ripple Effect: A Risk-Resilient Framework for Supply Chain Optimization
subject: Artificial Intelligence; blockchain; covid-19; global supply chain
description: 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.
creator: Singh, Nidhi; Arora, Rashmi; Arya, Prabha; Dadwal, Sapna; Upreti, Kamal
source: 2025 World Skills Conference on Universal Data Analytics and Sciences, WorldSUAS 2025;
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 01-01-2025
rights: Restricted Access; Hardcopy may be available in the library
relation: ISBN: 979-833153925-2;
language: English
type: Conference paper
coverage: 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