Optimizing Industrial Supply Chain with Blockchain

Abstract

Supply chain management is the essential part to enhance the coordination, which refers flow of product and exchange of associated information among different actors of supply chain network. This flow have primary importance as product is modified and transform as it passes from one actor to other. Supply chain faces many issues such as: traceability, food provenance, food contamination and quality control. Global food supply chain network have multiple operating procedures because information stakeholders spread over multiple continents which results into and regulators asymmetry hinders to track food incidents and trace product. Detailed literature review on challenges of food provenance, current safety regulations, issues of foodborne and contamination, blockchain based model development that makes stakeholders accountable if some issues occur. Secondly, IoT scanning points enhances traceability, identify food items and record food contamination in cidents. Proposed blockchain model is implemented using Hyperledger Fab ric, which highlights benefits over conventional systems. This dissertation is also describes future research areas such as: private channels in blockchain, blockchain based model of food waste management, lightweight security algorithm for Internet of Things (IoT), to digitally sign transactions.