A Multi-Objective Optimization Model for Enhancing Blockchain-Based Smart Supply Chains: Integrating Transparency, Cost Efficiency, and Sustainability
Keywords:
Smart Supply chain, Blockchain, Blockchain-based supply chain, SustainabilityAbstract
In the era of Industry 4.0, blockchain technology has emerged as a transformative force in optimizing smart supply chains by ensuring data transparency, security, and real-time traceability. This study introduces a comprehensive multi-objective optimization model to address critical challenges in blockchain-based smart supply chains. The model balances transparency, operational cost efficiency, and environmental sustainability while maintaining scalability and resilience against disruptions. The proposed framework uses advanced mathematical modeling and heuristic optimization algorithms to identify optimal trade-offs between objectives, incorporating dynamic supplier selection, adaptive inventory management, and energy-efficient blockchain consensus mechanisms. A case study involving a global food supply chain demonstrates the applicability and performance of the model in enhancing operational efficiency, reducing carbon footprints, and fostering trust among stakeholders. The findings emphasize the potential of blockchain technology in reimagining supply chain systems for a sustainable and digitally empowered future.
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