Volume 37, Issue 3 pp. 429-441
SPECIAL ISSUE PAPER

Blockchain for supply chain performance and logistics management

Juanjuan Yang

Juanjuan Yang

School of Economics and Management, Guangdong University of Petrochemical Technology, Maoming, China

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Xiuming Ma

Corresponding Author

Xiuming Ma

Propaganda Department of Party Committee of Beibu Gulf University, Qinzhou, China

Correspondence

Xiuming Ma, Propaganda Department of Party Committee of Beibu Gulf University, Qinzhou 535 011, China.

Email: [email protected]

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Rubén González Crespo

Rubén González Crespo

Department of Engineering, School of Engineering and Technology, Universidad Internacional de La Rioja, Logroño, Spain

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Oscar Sanjuán Martínez

Oscar Sanjuán Martínez

Computer Science Department, School of Engineering and Technology, Universidad Internacional de La Rioja, Spain

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First published: 01 October 2020
Citations: 7

Abstract

The trend of digitalization uses modern relationship models across global supply chain (SC) management. The main objective of this article is to identify SC current problems with the help of the knowledge sharing aspect using blockchain technology. This article addresses selected problems for managing modern SCs with a view to shared knowledge based on information management, effects of product and service on the quality of information, effects of consumer demands occurrences on information flow, outsourcing and globalization, and emerging threats to SCs by concerned parties. These problems are classified as concerns of confidentiality and trust, which are unable to share information among SC stakeholders due to a lack of data standards. To address these problems, a hybridized probabilistic performance and logistics framework (HPP-LF) has been developed that defines the validity of blockchain to help companies throughout the design and deployment of potential blockchain solutions to address the information sharing issues between SC stakeholders. The proposed HPP-LF results are compared with the existing PMOS, MIP, UTAUT, and ILOG techniques. The experimental result shows that the proposed method has better performance when compared with other existing systems.

DATA AVAILABILITY STATEMENT

Data sharing is not applicable to this article as no new data were created or analyzed in this study.

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