Blockchains in operations and supply chains: A model and reference implementation

By Petri T. Helo, Yuqiuge Hao. Computers & industrial engineering, 2019

387 citations recorded by the source corpus.

Abstract Blockchain is a promising information technology which can provide several potential applications related to operations and supply chains. By using distributed software architecture and advanced computing, blockchain can solve the problem of immutable ledgers distributed to several actors in the chain. This paper reviews blockchain technology and outlines possible uses for immutable distributed ledgers in operations and supply chains. A classification of the applications of blockchain technology in the scope of operations and supply chain management is presented. In order to demonstrate the technical architecture of the blockchain-based logistics monitoring system (BLMS), a reference implementation was programmed and tested based on Ethereum. The purpose of the BLMS is to provide a solution for parcel tracking in a supply chain to support an open and immutable history record for each transaction. The functionality of the system consists of transaction entry for logistics operators. The presented reference architecture demonstrates how blockchain can be implemented in the operations and supply chain context by using software components.

Subfields: Computer Networks and Communications, Information Systems, Management Information Systems

View Paper: https://www.semanticscholar.org/paper/4f222cbd3c79d036e084bb0d4a87fe621149f56f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

In Information Systems

In Management Information Systems

Citations in the corpus

When Blockchain Meets Supply Chain: A Systematic Literature Review on Current Development and Potential Applications (2020, background): “Moreover, smart contracts may facilitate process automation and provide better real-time monitoring of product/service visibility [105].”
Blockchain adoption in operations and supply chain management: empirical evidence from an emerging economy (2020, background): “Recently, the blockchain literature has definitely integrated the term ‘operation’ in the supply chain context (OSCM) (Choi and Luo 2019; Helo and Hao 2019; Wamba and Queiroz 2020) to highlight the several operations that are hence-forth performed in the SCM field thanks to blockchain applications…”
Evaluating the factors that influence blockchain adoption in the freight logistics industry (2020, methodology): “For instance, blockchains can enable freight logistics firms to reduce workload and ensure traceability, while increasing efficiency, reducing cost and securing the confidence of customers on the high quality of products and services (Helo and Hao, 2019).”
A literature review of blockchain technology applications in supply chains: A comprehensive analysis of themes, methodologies and industries (2021, positive): “Blockchain technology is very suitable for solving these challenges faced by the supply chain since it can ensure the authenticity and traceability of information during transmission and the security of transactions in a distrusted environment (Helo & Hao, 2019; Tijan et al., 2019).”
Blockchain-based framework for supply chain traceability: A case example of textile and clothing industry (2021, background): “Majority of literature on blockchain technology in the area of supply chain demonstrates theoretical framework/model development (Helo & Hao, 2019; Karumanchi et al., 2019; Madumidha et al., 2019; Nakasumi, 2017), exploring the challenges, opportunities, barrier and drivers (Biswas & Gupta, 2019;…”
Applying blockchain technology to improve agri-food traceability: A review of development methods, benefits and challenges (2020, background): “The solution to address the food safety and quality concerns is to improve traceability transparency, security, durability, and integrity (Feng et al., 2019; Tsang et al., 2018; Helo& Hao, 2019; Banerjee et al., 2018; Li et al., 2017).”