Combination of Blockchain and Machine Learning for the Improvement of Decision Making and Secure Supply Chain Authentication Management

This justifies the feature of blockchain in decision-making where companies predominantly use data processing and managing methods or have intricate supply chains demanding authenticity and relying on blockchain technology. This study is motivated by increasing convolutions and demands for secure speedy supply chain system as it is important in nurturing trustworthiness and accountability during commercial transactions, so it focuses on showing why current supply chain authentication methods are inefficient and unreliable leading to potential frauds and mistrust. This research starts by reviewing existing supply chain authentication methods and their shortcomings. The Basics of Blockchain refer to How Decentralized and Secure it really is, explaining what blockchain technology is. This blog post discusses how blockchain can be used to enhance decision-making processes, providing an unchangeable, auditable way to keep track of and authenticate the supply chain, and briefly covers various use cases of blockchain in supply chains and explains how they are transforming the security and efficiency of operations. The objective of this study is to suggest a structure that combines blockchain and machine learning for better supply chain decisions and authentication systems. It makes use of decentralized system architecture from methodological point of view by which the immutability aspect of blockchain and machine learning analytics can be integrated together in forecasting of demand while at the same time ensuring safety for transactions. Overall, blockchain technology enables significant disruption in supply chain authentication by helping partner systems and organizations make better decisions and reinforcing security requirements between partners. Combined with blockchain, RFIDs provide improved transparency and cost savings and ensure data is secure and trustworthy, thereby greatly enhancing supply chain networks. Indeed, the findings have shown clearly that coherent use of these technologies in supply chain management yields tangible improvements in such areas as fraud prevention, operational efficiency and even customer trust.

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Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1109/dasa63652.2024.10836579
Primary Topic
Big Data and Business Intelligence
Type
article
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article

Combination of Blockchain and Machine Learning for the Improvement of Decision Making and Secure Supply Chain Authentication Management

Mahmoud Allahham, Omaia Mohammed Al-Omari, Atheer Ahmed Alrashed, Wasef Ibrahim Almajali
Big Data and Business Intelligence
article

Combination of Blockchain and Machine Learning for the Improvement of Decision Making and Secure Supply Chain Authentication Management

Mahmoud Allahham, Omaia Mohammed Al-Omari, Atheer Ahmed Alrashed, Wasef Ibrahim Almajali
article en

Abstract

This justifies the feature of blockchain in decision-making where companies predominantly use data processing and managing methods or have intricate supply chains demanding authenticity and relying on blockchain technology. This study is motivated by increasing convolutions and demands for secure speedy supply chain system as it is important in nurturing trustworthiness and accountability during commercial transactions, so it focuses on showing why current supply chain authentication methods are inefficient and unreliable leading to potential frauds and mistrust. This research starts by reviewing existing supply chain authentication methods and their shortcomings. The Basics of Blockchain refer to How Decentralized and Secure it really is, explaining what blockchain technology is. This blog post discusses how blockchain can be used to enhance decision-making processes, providing an unchangeable, auditable way to keep track of and authenticate the supply chain, and briefly covers various use cases of blockchain in supply chains and explains how they are transforming the security and efficiency of operations. The objective of this study is to suggest a structure that combines blockchain and machine learning for better supply chain decisions and authentication systems. It makes use of decentralized system architecture from methodological point of view by which the immutability aspect of blockchain and machine learning analytics can be integrated together in forecasting of demand while at the same time ensuring safety for transactions. Overall, blockchain technology enables significant disruption in supply chain authentication by helping partner systems and organizations make better decisions and reinforcing security requirements between partners. Combined with blockchain, RFIDs provide improved transparency and cost savings and ensure data is secure and trustworthy, thereby greatly enhancing supply chain networks. Indeed, the findings have shown clearly that coherent use of these technologies in supply chain management yields tangible improvements in such areas as fraud prevention, operational efficiency and even customer trust.

Prince Sultan University (SA), Amman Arab University (JO), Applied Science University (BH)
Peace, Justice and strong institutions
Openalex Percentile: Top 59%
Big Data and Business Intelligence
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