区块链技术在制造业改进中的神经网络洞察

2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA) Pub Date : 2020-04-01 DOI:10.1109/ICIEA49774.2020.9101957

Andrei O. J. Kwok, Sharon G. M. Koh

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引用次数: 6

摘要

近年来，区块链技术因其在业务改进方面的颠覆性潜力而引起了各行各业的极大兴趣。区块链技术在增强有效数据管理和提供可追溯性方面的能力为制造业提供了重要价值。鉴于区块链应用的吸引力越来越大，区块链技术与其他新兴技术的融合有望改变制造业。本研究通过解读区块链技术如何促进制造业改进来解决学术研究的缺乏问题。本研究基于神经网络分析，通过揭示新兴主题，提出建议，并提出更多研究的呼吁，绘制了区块链技术研究在制造业改进中的未来路径。

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Neural Network Insights of Blockchain Technology in Manufacturing Improvement

In recent years, blockchain technology has garnered phenomenal interest across various industries due to its disruptive potential on business improvement. The capability of blockchain technology in enhancing efficient data management and providing traceability offers significant value to manufacturing. Given the increasing traction of blockchain application, the confluence of blockchain technology with other emergent technologies is poised to transform the manufacturing industry. This study addresses the paucity of scholarly research by deciphering how blockchain technology can contribute to manufacturing improvement. Based on neural network analysis, this study maps the future pathways in blockchain technology research in manufacturing improvement by revealing the emerging themes, offer recommendations, and raise the call for more studies.

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2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)

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