A Secured Supply Chain Network for Route Optimization and Product Traceability Using Blockchain in Internet of Things

The conventional method of implementing supply chain management suffers several limitations like cost, unpredictability, complicated environment, and wide-open access to sensitive information. To defeat these issues, the supply chains should be progressively more intelligent. To build a large-scale smart infrastructure of physical objects, products, and all the other supply chain-related processes, supply chain management can be integrated with the Internet of things (IoT). Open interrelation communication opens several threats in the supply chain environment. In the proposed work, we construct a supply chain network (SCN) secured with blockchain to find the optimum route of a product from a manufacturer to customer and to trace back a product to its origin. A genetic algorithm-based scheme is used to find the optimum route for a product and approach to trace back the origin of a product is proposed, which is especially beneficial in cases like a product turning out to be infected and the need to track the rest of the products of that batch. Simulation results are compared using two different consensuses for verification of transactions: PoW and proof of elapsed time. Graphical results show that proof of elapsed time outperforms PoW in terms of cost, processing power, and transaction verify per second.