Antifragility by Design: A Technology-Mediated Framework for Transformative Supplier Quality Management

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.

Authors

Publication Details

Journal
Journal of Emerging Technologies and Innovative Research
Published
2025-01-01
DOI
https://doi.org/10.56975/jetir.v12i5.563174
Citations
5
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
11.13
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article

Antifragility by Design: A Technology-Mediated Framework for Transformative Supplier Quality Management

Semefa Elikplim Dzreke, Simon Suwany Dzreke
5 citations
Journal of Emerging Technologies and Innovative Research
Supply Chain Resilience and Risk Management
11.13
article

Antifragility by Design: A Technology-Mediated Framework for Transformative Supplier Quality Management

Semefa Elikplim Dzreke, Simon Suwany Dzreke
article en
5 citations

Abstract

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.

Journal of Emerging Technologies and Innovative ResearchVol. 12(5)
Industry, innovation and infrastructure
Openalex Percentile: Top 2%
Supply Chain Resilience and Risk Management
11.13
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