Blockchain technology in supply chain management - automotive industry
The automotive industry is a particularly promising application case for blockchain technology adoption. It creates opportunities for manufacturers to increase their tracking capabilities to meet the increasing demand for supply chain visibility. This paper examines industry insights through intervi...
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2022
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sg-ntu-dr.10356-1636082022-12-12T08:05:13Z Blockchain technology in supply chain management - automotive industry Lee, Sherwin Ler Yang - School of Civil and Environmental Engineering Seow Kheng Oon khengoon.seow@ntu.edu.sg Engineering::Maritime studies The automotive industry is a particularly promising application case for blockchain technology adoption. It creates opportunities for manufacturers to increase their tracking capabilities to meet the increasing demand for supply chain visibility. This paper examines industry insights through interviews with industry practitioners and managers to explore the existing challenges of adopting blockchain technology in the upstream automotive supply chain. The findings suggest that blockchain is a viable solution for the issues facing the automotive industry, such as product recalls and increased supply chain disruptions. However, the lack of understanding of the technology and difficulty in integrating the technology into current processes may hinder the acceleration of industry-wide applications. The possible solutions for these challenges include increasing awareness and education, to make it less daunting to understand the technology. In addition, companies can form consortiums and strategic alliances to increase collaboration and benefit the industry. Furthermore, industry standards can be established to reduce administrative burden and complexity of cross-system communications. Bachelor of Science (Maritime Studies) 2022-12-12T08:05:13Z 2022-12-12T08:05:13Z 2023 Final Year Project (FYP) Lee, S. L. Y. (2023). Blockchain technology in supply chain management - automotive industry. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/163608 https://hdl.handle.net/10356/163608 en application/pdf Nanyang Technological University |
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Engineering::Maritime studies Lee, Sherwin Ler Yang Blockchain technology in supply chain management - automotive industry |
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The automotive industry is a particularly promising application case for blockchain technology adoption. It creates opportunities for manufacturers to increase their tracking capabilities to meet the increasing demand for supply chain visibility. This paper examines industry insights through interviews with industry practitioners and managers to explore the existing challenges of adopting blockchain technology in the upstream automotive supply chain. The findings suggest that blockchain is a viable solution for the issues facing the automotive industry, such as product recalls and increased supply chain disruptions. However, the lack of understanding of the technology and difficulty in integrating the technology into current processes may hinder the acceleration of industry-wide applications. The possible solutions for these challenges include increasing awareness and education, to make it less daunting to understand the technology. In addition, companies can form consortiums and strategic alliances to increase collaboration and benefit the industry. Furthermore, industry standards can be established to reduce administrative burden and complexity of cross-system communications. |
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- Lee, Sherwin Ler Yang |
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Final Year Project |
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Lee, Sherwin Ler Yang |
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Lee, Sherwin Ler Yang |
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Blockchain technology in supply chain management - automotive industry |
title_short |
Blockchain technology in supply chain management - automotive industry |
title_full |
Blockchain technology in supply chain management - automotive industry |
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Blockchain technology in supply chain management - automotive industry |
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Blockchain technology in supply chain management - automotive industry |
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blockchain technology in supply chain management - automotive industry |
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Nanyang Technological University |
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2022 |
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https://hdl.handle.net/10356/163608 |
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1753801121005043712 |