Blockchain sharding for e-commerce supply chain performance analytics towards Industry 5.0

ABSTRACT

In today’s competitive and volatile e-commerce markets, effective supply chain performance measurement (SCPM) gradually becomes essential for investigating pitfalls and loopholes in strategic vendor management and business development. Surrounding the atmosphere of Industry 5.0, sustainability and resilience are two primary pillars, which should be further considered in the SCPM beyond merely operational effectiveness and efficiency. This study customises evaluation criteria based on the green supply chain operations reference model. Moreover, a blockchain sharding-enabled performance analytics system is designed, where a real-life case analysis is conducted to verify the system efficacy. Consequently, the supply chain sustainability and resilience can be fostered.

KEYWORDS:

• Supply chain
• performance measurement
• e-commerce
• blockchain
• fuzzy inference system

Acknowledgments

The authors would like to thank the Department of ISE, Hong Kong Polytechnic University and the Western Sydney University for supporting the research. The work described in this paper was supported by a grant from The Hong Kong Polytechnic University (Project code: 1-CD4E). Also, this research is funded by the Laboratory for Artificial Intelligence in Design (Project Code: RP2-2), Hong Kong Special Administrative Region.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The data that support the findings of this study are available from the corresponding author, Y.P. Tsang, upon reasonable request.