Title: Optimisation model and algorithm analysis of blockchain technology in new energy materials industry supply chain under performance management

Authors: Mingfang Li; Zihua Li; Tingyu Liu; Hazrita Ab Rahim; Tadiwa Elisha Nyamasvisva

Addresses: Faculty of Business, Information and Human Sciences (FBIHS), Infrastructure University Kuala Lumpur, Kuala Lumpur, 43000, Malaysia; School of Culture, Tourism and Management, Guangxi Technological College of Machinery and Electricity, Nanning, 530007, Guangxi, China ' Faculty of Business, Information and Human Sciences (FBIHS), Infrastructure University Kuala Lumpur, Kuala Lumpur, 43000, Malaysia; School Office (Secretary Section), Shunde Polytechnic, Shunde, 528300, Guangdong, China ' Faculty of Business, Information and Human Sciences (FBIHS), Infrastructure University Kuala Lumpur, Kuala Lumpur, 43000, Malaysia; Smeal College of Business, Pennsylvania State University, State College, PA 16803, USA ' Faculty of Business, Information and Human Sciences (FBIHS), Infrastructure University Kuala Lumpur, Kuala Lumpur, 43000, Malaysia ' Faculty of Engineering, Science and Technology (FEST), Infrastructure University Kuala Lumpur, Kuala Lumpur, 43000, Malaysia

Abstract: This article collected the scale and growth rate of China's NE material market from 2016 to 2022. SC cost optimisation and delivery time were used as the criteria for evaluating the optimisation model. The optimisation algorithm was applied to a company mainly composed of nanomaterials. From the cost optimisation and delivery time, it was found that the 20 factories under the company have improved their costs in all aspects after optimising the SC model. After optimisation, the delivery time of the route was maintained at 2-4 days. This article analysed the SC optimisation model and algorithm for the NE material industry under blockchain technology. The research results can help promote the sustainable development of the NE material industry and improve the overall efficiency of the industry.

Keywords: new energy materials; supply chain; optimisation model; blockchain technology; nanophase materials; information collaborative management.

DOI: 10.1504/IJMPT.2025.147096

International Journal of Materials and Product Technology, 2025 Vol.70 No.1, pp.2 - 22

Received: 19 Jun 2024
Accepted: 19 Feb 2025
Published online: 10 Jul 2025 *

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