Blockchain Technology for Enhancing Traceability and Efficiency in Automobile Supply Chain—A Case Study
Journal article
Ada, N., Ethirajan, M., Kumar, A., K.E.K, V., Nadeem, S., Kazancoglu, Y. and Kandasamy, J. 2021. Blockchain Technology for Enhancing Traceability and Efficiency in Automobile Supply Chain—A Case Study. Sustainability. 13 (24), pp. 1-21. https://doi.org/10.3390/su132413667
| Authors | Ada, N., Ethirajan, M., Kumar, A., K.E.K, V., Nadeem, S., Kazancoglu, Y. and Kandasamy, J. |
|---|---|
| Abstract | A robust traceability system would help organizations in inventory optimization reduce lead time and improve customer service and quality which further enables the organizations to be a leader in their industry sector. This research study analyzes the challenges faced by the automotive industry in its supply chain operations. Further, the traceability issues and waiting time at different nodes of the supply chain are considered to be priority issues that affect the overall supply chain efficiency in the automotive supply chain. After studying the existing blockchain architectures and their implementation methodology, this study proposes a new blockchain-based architecture to improve traceability and reduce waiting time for the automotive supply chain. A hyper ledger fabric-based blockchain architecture is developed to track the ownership transfers in inbound and outbound logistics. The simulation results of the proposed hyper ledger fabric-based blockchain architecture show that there is an improvement in the traceability of items at different nodes of the supply chain that enhances the Inventory Quality Ratio (IQR) and the mean waiting time is reduced at the factory, wholesaler, and retailer, which thereby improves the overall supply chain efficiency. The blockchain embedded supply chain is more capable to eliminate the risks and uncertainties associated with the automotive supply chain. The benefits of adopting blockchain technology in the automotive supply chain are also described. The developed blockchain-based framework is capable to get more visibility into goods movement and inventory status in automotive supply chains. |
| Keywords | automotive supply chains; blockchain; simulation; case study; Industry 4.0 |
| Year | 2021 |
| Journal | Sustainability |
| Journal citation | 13 (24), pp. 1-21 |
| Publisher | MDPI |
| ISSN | 2071-1050 |
| Digital Object Identifier (DOI) | https://doi.org/10.3390/su132413667 |
| Web address (URL) | https://www.mdpi.com/2071-1050/13/24/13667 |
| Publisher's version | License File Access Level Open |
| Output status | Published |
| Publication dates | |
| Online | 10 Dec 2021 |
| Publication process dates | |
| Accepted | 07 Dec 2021 |
| Deposited | 12 Feb 2024 |
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