• Simon Suwany Dzreke
• Semefa Elikplim Dzreke

In an era of escalating disruptions—from geopolitical instability to AI-driven counterfeit proliferation—this study redefines resilience by introducing a hybrid Supplier Quality Management (SQM) framework that embeds antifragility into supply chain architecture. Unlike conventional models that prioritize redundancy, our framework transforms risks into strategic value through three interconnected pillars: dynamic risk intelligence, where AI-driven predictive analytics and IoT-enabled real-time monitoring convert supplier data into adaptive workflows, reducing semiconductor defect rates by 28% in electronics manufacturing; cross-sectoral learning ecosystems, demonstrated by repurposing aerospace blockchain traceability protocols to eliminate 48% of counterfeit radiopharmaceuticals in healthcare supply chains; and regulatory harmonization, achieved through sandbox environments that reconcile fragmented standards, such as aligning FDA and EU MDR compliance to cut medtech costs by 30%. Sectoral analyses reveal stark disparities—while standardized audits have slashed automotive quality failures by 32% post-Fukushima, SMEs in Southeast Asia face prohibitive 30% cost barriers to IoT adoption due to infrastructural gaps, a challenge mitigated through modular, cloud-based platforms that democratize AI/blockchain access. Grounded in UN Sustainable Development Goals, the framework promotes inclusive growth via upskilling initiatives that retained 85% of displaced quality inspectors in Indian manufacturing hubs. By institutionalizing stress-testing protocols that simulate polycrisis scenarios (e.g., hybrid warfare, pandemics), the study demonstrates antifragile SQM’s superiority, with automotive firms achieving 37% faster production recovery during the 2023 Taiwan Strait disruption. This research challenges lean methodology hegemony, proposing instead a regenerative paradigm where supply chains evolve from brittle, efficiency-obsessed pipelines into adaptive networks that harness chaos for innovation, equity, and competitive advantage—a necessity as supply chain volatility emerges as the top existential threat for global enterprises.

Antifragility, Supplier Quality Management, Dynamic Risk Intelligence, Cross-Sector Learning, Regulatory Sandboxes, Ethical Supply Chains

"Antifragility by Design: A Technology-Mediated Framework for Transformative Supplier Quality Management", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.i820-i834, May-2025, Available :http://www.jetir.org/papers/JETIR2505993.pdf

"Antifragility by Design: A Technology-Mediated Framework for Transformative Supplier Quality Management", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. ppi820-i834, May-2025, Available at : http://www.jetir.org/papers/JETIR2505993.pdf