Blockchain-Enhanced NSGA-III GKM Framework for Transparent and Trustworthy E-Commerce Supply Chains

EasyChair Preprint 15817

Abstract

This study focuses on improving transparency and trust in e-commerce supply chains through the integration of blockchain technology. This is very important in blockchain because, it is necessary to secure, record, verify and share the data throughout multiple parties to ensure the transparency and trust. To achieve this, we introduce the advanced combining technology called blockchain based NSGA III-GKM. Genetic K-means clustering (GKM) and the Non-Dominated Sorting Genetic Algorithm (NSGA-III) are two advanced algorithms combined with the advanced blockchain technology that are used in a novel way to achieve this. Blockchain systems produce huge volumes of complex data, therefore it is important to identify meaningful patterns and trends. These problems of blockchain are solved by NSGA III and GKM. The present study used NSGA III to solve problems with multiple objectives such as, improving trust, transparency and transport cost reduction. By using NSGA, the best solutions are effectively identified that can balance these challenging goals. At the same time, GKM improves the grouping process by fine tuning the data points which are classified into similar clusters. This helps to identify the specific trends in blockchain based supply chain data. By combining these methods, we can able to improve the trends and actions mechanisms in e- commerce supply chains. These combined method assists companies in identifying effective supply chain strategies, which helps to minimizing risks, and also able to adapt the continuously changing blockchain systems. Real-world data from e-commerce supply chains was used to test the method's efficacy. According to the findings, it was successfully showed the balance between various goals and provide suggestions for improving supply chain networks driven by blockchain.

Keyphrases: Blockchain, Genetic K-means Clustering, NSGA-III, Supply Chain Management, Supply Chain Resilience, Trust and Transparency, multi-objective optimization

@booklet{EasyChair:15817,
  author    = {Prashnatita Pal and Rituparna Bhattacharya and Jayanta Poray},
  title     = {Blockchain-Enhanced NSGA-III GKM Framework for Transparent and Trustworthy  E-Commerce Supply Chains},
  howpublished = {EasyChair Preprint 15817},
  year      = {EasyChair, 2025}}