Blockchain Technology for Enhancing Traceability and Efficiency in Automobile Supply Chain-A Case Study

dc.contributor.author Nesrin Ada
dc.contributor.author Manavalan Ethirajan
dc.contributor.author Anil Kumar
dc.contributor.author K. E. K. Vimal
dc.contributor.author Simon Peter Nadeem
dc.contributor.author Yigit Kazancoglu
dc.contributor.author Jayakrishna Kandasamy
dc.date DEC
dc.date.accessioned 2025-10-06T16:23:33Z
dc.date.issued 2021
dc.description.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.
dc.identifier.doi 10.3390/su132413667
dc.identifier.issn 2071-1050
dc.identifier.uri http://dx.doi.org/10.3390/su132413667
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/7917
dc.language.iso English
dc.publisher MDPI
dc.relation.ispartof Sustainability
dc.source SUSTAINABILITY
dc.subject automotive supply chains, blockchain, simulation, case study, Industry 4.0
dc.subject AUTOMOTIVE INDUSTRY, NETWORK DESIGN, MANAGEMENT, CHALLENGES, OPTIMIZATION, INFORMATION, COMPANY, POWER
dc.title Blockchain Technology for Enhancing Traceability and Efficiency in Automobile Supply Chain-A Case Study
dc.type Article
dspace.entity.type Publication
gdc.bip.impulseclass C3
gdc.bip.influenceclass C4
gdc.bip.popularityclass C3
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.startpage 13667
gdc.description.volume 13
gdc.identifier.openalex W4200599437
gdc.index.type WoS
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gdc.oaire.diamondjournal false
gdc.oaire.impulse 40.0
gdc.oaire.influence 5.1844524E-9
gdc.oaire.isgreen true
gdc.oaire.keywords blockchain
gdc.oaire.keywords Optimization
gdc.oaire.keywords automotive supply chains; blockchain; simulation; case study; Industry 4.0
gdc.oaire.keywords Industry 4
gdc.oaire.keywords dewey650
gdc.oaire.keywords Company
gdc.oaire.keywords 0
gdc.oaire.keywords Industry 4.0
gdc.oaire.keywords simulation
gdc.oaire.keywords Management
gdc.oaire.keywords automotive supply chains
gdc.oaire.keywords case study
gdc.oaire.keywords Network Design
gdc.oaire.keywords Information
gdc.oaire.keywords Power
gdc.oaire.keywords Automotive Industry
gdc.oaire.keywords Challenges
gdc.oaire.popularity 4.710095E-8
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 05 social sciences
gdc.oaire.sciencefields 0211 other engineering and technologies
gdc.oaire.sciencefields 02 engineering and technology
gdc.oaire.sciencefields 0502 economics and business
gdc.openalex.collaboration International
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gdc.opencitations.count 56
gdc.plumx.crossrefcites 56
gdc.plumx.facebookshareslikecount 50
gdc.plumx.mendeley 368
gdc.plumx.scopuscites 69
person.identifier.orcid Kazancoglu- Yigit/0000-0001-9199-671X, ADA- NESRIN/0000-0003-2332-7359, Nadeem- Dr. Simon Peter/0000-0002-0571-0744, Kandasamy- Jayakrishna/0000-0002-5225-7620, Kumar- Anil/0000-0002-1691-0098,
publicationissue.issueNumber 24
publicationvolume.volumeNumber 13
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