Prof. Dr. Sankar Kumar Roy,
Department of Applied Mathematics, Vidyasagar University, India
ROBUST MULTI-OBJECTIVE OPTIMIZATION OF OMNICHANNEL CLOSED-LOOP FOOD SUPPLY CHAINS WITH BLOCKCHAIN, IOT, AND BIOFUEL INTEGRATION
Food supply chains today are no longer linear—they are complex, data-rich, and increasingly circular. This necessitates integrated, technology-driven frameworks to achieve efficiency and sustainability. This talk asks a simple but critical question: how can we redesign the closed-loop food supply chain to be both intelligent and sustainable?
In connection with the question, we would learn how to investigate the synergistic deployment of omnichannel strategies, Internet of Things (IoT)-enabled RFID systems, and blockchain technology to enhance traceability, operational transparency, and decision-making across the network. A closed-loop perspective is adopted, emphasizing the value of food waste into biofuel to simultaneously address waste management and renewable energy generation, thereby reducing carbon emissions. To capture system dynamics, a multi-period, bi-objective optimization model is formulated under uncertainty, incorporating robust optimization techniques for demand, supply, and process variability.
The proposed model is solved using an ε-constraint method to generate Pareto-efficient solutions balancing economic and environmental objectives, followed by TOPSIS-based ranking to identify preferred strategies.Computational experiments across multiple instances, supported by sensitivity analysis, demonstrate that the integration of omnichannel logistics with IoT and blockchain significantly improves supply chain resilience, sustainability performance, and operational efficiency. The findings offer both theoretical advancement and actionable insights for designing next-generation sustainable food supply networks.
