Defining granularity levels for supply chain traceability based on IoT and blockchain

Abstract

Identifying the optimal granularity level of traceable units is necessary when implementing traceability, particularly in food supply chains. In this paper we propose a generic framework for defining granularity levels based on product's unique characteristics, supply chain processes and stakeholders engagement. We determine different levels of granularity by using smart contracts within a blockchain-enabled supply chain traceability architecture. The granularity relates to different levels depending on the application of information within a company and between companies across complex supply chain networks. The applicability of the proposed framework is demonstrated with a food supply chain use case scenario by developing a local private blockchain-enabled architecture. The overall benefits of the proposed model are discussed along with several fruitful areas for further research directions.