Design and development of automobile assembly model using federated artificial intelligence with smart contract

References

• Alavian, P., Y. Eun, S. M. Meerkov, and L. Zhang. 2020. “Smart Production Systems: Automating Decision-Making in Manufacturing Environment.” International Journal of Production Research 58 (3): 828–845.
   Web of Science ®Google Scholar
• Allam, Z., and Z. A. Dhunny. 2019. “On big Data, Artificial Intelligence and Smart Cities.” Cities 89: 80–91.
   Web of Science ®Google Scholar
• Andoni, M., V. Robu, D. Flynn, S. Abram, D. Geach, D. Jenkins, P. McCallum, and A. Peacock. 2019. “Blockchain Technology in the Energy Sector: A Systematic Review of Challenges and Opportunities.” Renewable and Sustainable Energy Reviews 100: 143–174.
   Web of Science ®Google Scholar
• Baryannis, G., S. Validi, S. Dani, and G. Antoniou. 2019. “Supply Chain Risk Management and Artificial Intelligence: State of the art and Future Research Directions.” International Journal of Production Research 57 (7): 2179–2202.
   Web of Science ®Google Scholar
• Bhamra, R., S. Dani, and K. Burnard. 2011. “Resilience: the Concept, a Literature Review and Future Directions.” International Journal of Production Research 49 (18): 5375–5393.
   Web of Science ®Google Scholar
• Cioffi, R., M. Travaglioni, G. Piscitelli, A. Petrillo, and F. De Felice. 2020. “Artificial Intelligence and Machine Learning Applications in Smart Production: Progress, Trends, and Directions.” Sustainability 12 (2): 492.
   Web of Science ®Google Scholar
• Copeland, R., M. Copeland, S. Ahvar, N. Crespi, O. Shagdar, and R. Durand. 2019. “Automotobe Virtiual Edge Communicator (AVEC) with Vehicular Inter-Agent Service Orchestration and Resourcing (ViSOR).” Annales Des Telecommunications / Annals of Telecommunications 74 (9-10): 655–662.
   Web of Science ®Google Scholar
• De Giovanni, P. 2020. “Blockchain and Smart Contracts in Supply Chain Management: A Game Theoretic Model.” International Journal of Production Economics 228: 107855.
   Web of Science ®Google Scholar
• Dolgui, A., D. Ivanov, S. Potryasaev, B. Sokolov, M. Ivanova, and F. Werner. 2020. “Blockchain-oriented Dynamic Modelling of Smart Contract Design and Execution in the Supply Chain.” International Journal of Production Research 58 (7): 2184–2199.
   Web of Science ®Google Scholar
• Elverum, C. W., and T. Welo. 2016. “Leveraging Prototypes to Generate Value in the Concept-to-Production Process: a Qualitative Study of the Automotive Industry.” International Journal of Production Research 54 (10): 3006–3018.
   Web of Science ®Google Scholar
• Erfurth, T., and J. Bendul. 2018. “Integration of Global Manufacturing Networks and Supply Chains: a Cross Case Comparison of six Global Automotive Manufacturers.” International Journal of Production Research 56 (22): 7008–7030.
   Web of Science ®Google Scholar
• Fenwick, M., and E. P. M. Vermeulen. 2019. “Technology and Corporate Governance: Blockchain, Crypto, and Artificial Intelligence.” Texas Journal Business Law 48: 1–15.
   Google Scholar
• Giancaspro, M. 2017. “Is a ‘Smart Contract’ Really a Smart Idea? Insights from a Legal Perspective.” Computer Law & Security Review 33 (6): 825–835.
   Web of Science ®Google Scholar
• Gonçalves, J. N., P. Cortez, M. S. Carvalho, and N. M. Frazão. 2021. “A Multivariate Approach for Multi-Step Demand Forecasting in Assembly Industries: Empirical Evidence from an Automotive Supply Chain.” Decision Support Systems 142: 113452.
   Web of Science ®Google Scholar
• Guo, G., and S. M. Ryan. 2021. “Sequencing Mixed-Model Assembly Lines with Risk-Averse Stochastic Mixed-Integer Programming.” International Journal of Production Research 1–18. https://www.tandfonline.com/doi/abs/https://doi.org/10.1080/00207543.2021.1931978.
   Web of Science ®Google Scholar
• Gupta, R., S. Tanwar, N. Kumar, and S. Tyagi. 2020. “Blockchain-based Security Attack Resilience Schemes for Autonomous Vehicles in Industry 4.0: A Systematic Review.” Computers & Electrical Engineering 86: 106717.
   Web of Science ®Google Scholar
• Hadian, H., S. Chahardoli, A. M. Golmohammadi, and A. Mostafaeipour. 2020. “A Practical Framework for Supplier Selection Decisions with an Application to the Automotive Sector.” International Journal of Production Research 58 (10): 2997–3014.
   Web of Science ®Google Scholar
• Ivanov, D., A. Dolgui, and B. Sokolov. 2019. “The Impact of Digital Technology and Industry 4.0 on the Ripple Effect and Supply Chain Risk Analytics.” International Journal of Production Research 57 (3): 829–846.
   Web of Science ®Google Scholar
• Ivanov, D., A. Dolgui, B. Sokolov, F. Werner, and M. Ivanova. 2016. “A Dynamic Model and an Algorithm for Short-Term Supply Chain Scheduling in the Smart Factory Industry 4.0.” International Journal of Production Research 54 (2): 386–402.
   Web of Science ®Google Scholar
• Ivanov, D., B. Sokolov, and A. Dolgui. 2014. “The Ripple Effect in Supply Chains: Trade-off ‘Efficiency-Flexibility-Resilience’ in Disruption Management.” International Journal of Production Research 52 (7): 2154–2172.
   Web of Science ®Google Scholar
• Jabbar, R., M. Kharbeche, K. Al-Khalifa, M. Krichen, and A. K. Barkaoui. 2020. “Blockchain for the Internet of Vehicles: A Decentralized IoT Solution for Vehicles Communication Using Ethereum.” Sensors (Switzerland) 20 (14): 1–27.
   Web of Science ®Google Scholar
• Jain, S., G. Shao, and S. J. Shin. 2017. “Manufacturing Data Analytics Using a Virtual Factory Representation.” International Journal of Production Research 55 (18): 5450–5464.
   PubMed Web of Science ®Google Scholar
• Keivanpour, S., D. Ait-Kadi, and C. Mascle. 2017. “Automobile Manufacturers’ Strategic Choice in Applying Green Practices: Joint Application of Evolutionary Game Theory and Fuzzy Rule-Based Approach.” International Journal of Production Research 55 (5): 1312–1335.
   Web of Science ®Google Scholar
• Khan, P. W., and Y.-C. Byun. 2020. “Smart Contract Centric Inference Engine for Intelligent Electric Vehicle Transportation System.” Sensors 20 (15): 4252.
   Web of Science ®Google Scholar
• Kim, T., I. Y. Jung, and Y. Hu. 2020. “Automatic, Location-Privacy Preserving Dashcam Video Sharing Using Blockchain and Deep Learning.” Human-Centric Computing and Information Sciences 10 (1): 1–23.
   Web of Science ®Google Scholar
• Koh, L., A. Dolgui, and S. Sarkis. 2020. “Blockchain in Transport and Logistics – Paradigms and Transitions.” International Journal of Production Research 58 (7): 2045–2062.
   Web of Science ®Google Scholar
• Koh, L., G. Orzes, and F. Jia. 2019. “The Fourth Industrial Revolution (Industry 4.0): Technologies Disruption on Operations and Supply Chain Management.” International Journal of Operations and Production Management 39 (6/7/8): 817–828.
   Web of Science ®Google Scholar
• Kolvart, M., M. Poola, and A. Rull. 2016. “Smart Contracts.” In The Future of Law and Etechnologies, edited by Kerikmae T and Rull A, 133–147. Switzerland: Springer.
   Google Scholar
• Kong, Q., R. Lu, F. Yin, and S. Cui. 2021. “Blockchain-based Privacy-Preserving Driver Monitoring for MaaS in the Vehicular IoT.” IEEE Transactions on Vehicular Technology 70 (4): 3788–3799.
   Web of Science ®Google Scholar
• Kumar, S., B. S. Purohit, V. Manjrekar, V. Singh, and B. K. Lad. 2018. “Investigating the Value of Integrated Operations Planning: A Case-Based Approach from Automotive Industry.” International Journal of Production Research 56 (22): 6971–6992.
   Web of Science ®Google Scholar
• Lacerda, A. P., A. R. Xambre, and H. M. Alvelos. 2016. “Applying Value Stream Mapping to Eliminate Waste: a Case Study of an Original Equipment Manufacturer for the Automotive Industry.” International Journal of Production Research 54 (6): 1708–1720.
   Web of Science ®Google Scholar
• Liao, Y., F. Deschamps, E. D. F. R. Loures, and L. F. P. Ramos. 2017. “Past, Present and Future of Industry 4.0-a Systematic Literature Review and Research Agenda Proposal.” International Journal of Production Research 55 (12): 3609–3629.
   Web of Science ®Google Scholar
• Lu, Y., X. Huang, K. Zhang, S. Maharjan, and Y. Zhang. 2020. “Blockchain Empowered Asynchronous Federated Learning for Secure Data Sharing in Internet of Vehicles.” IEEE Transactions on Vehicular Technology 69 (4): 4298–4311.
   Web of Science ®Google Scholar
• Macrinici, D., C. Cartofeanu, and S. Gao. 2018. “Smart Contract Applications Within Blockchain Technology: A Systematic Mapping Study.” Telematics and Informatics 35 (8): 2337–2354.
   Web of Science ®Google Scholar
• Magazzeni, D., P. McBurney, and W. Nash. 2017. “Validation and Verification of Smart Contracts: A Research Agenda.” Computer 50 (9): 50–57.
   Web of Science ®Google Scholar
• Manimuthu, A., and V. Dharshini. 2021. “Framework for Load Power Consumption in HAN Using Machine Learning and IoT Assistance.” IEEE Design & Test 38: 102–108.
   Web of Science ®Google Scholar
• Manimuthu, A., A. V. Le, R. E. Mohan, P. Veerajagadeshwar, N. Huu Khanh Nhan, and K. Ping Cheng. 2019. “Energy Consumption Estimation Model for Complete Coverage of a Tetromino Inspired Reconfigurable Surface Tiling Robot.” Energies 12 (12): 2257.
   Web of Science ®Google Scholar
• Manimuthu, A., and R. Ramadoss. 2019. “Absolute Energy Routing and Real-Time Power Monitoring for Grid-Connected Distribution Networks.” IEEE Design & Test 36 (2): 88–96.
   Web of Science ®Google Scholar
• Manimuthu, A., V. G. Venkatesh, V. Raja Sreedharan, and V. Mani. 2021. “Modelling and Analysis of Artificial Intelligence for Commercial Vehicle Assembly Process in VUCA World: a Case Study.” International Journal of Production Research 1–19. https://www.tandfonline.com/doi/abs/https://doi.org/10.1080/00207543.2021.1910361.
   Web of Science ®Google Scholar
• Min, H. 2010. “Artificial Intelligence in Supply Chain Management: Theory and Applications.” International Journal of Logistics: Research and Applications 13 (1): 13–39.
   Web of Science ®Google Scholar
• Mishra, B., B. Mahanty, and J. J. Thakkar. 2021. “A Quantifiable Quality Enabled Servitisation Model: Benchmarking Indian Automobile Manufacturers.” International Journal of Production Research 59 (9): 2667–2689.
   Web of Science ®Google Scholar
• Mohanta, B. K., D. Jena, U. Satapathy, and S. Patnaik. 2020. “Survey on IoT Security: Challenges and Solution Using Machine Learning, Artificial Intelligence and Blockchain Technology.” Internet of Things, 100227. https://doi.org/https://doi.org/10.1016/j.iot.2020.100227.
   Google Scholar
• Nofer, M., P. Gomber, O. Hinz, and D. Schiereck. 2017. “Blockchain.” Business & Information Systems Engineering 59 (3): 183–187.
   Web of Science ®Google Scholar
• O’Leary, D. E. 2013. “Artificial Intelligence and big Data.” IEEE Intelligent Systems 28 (2): 96–99.
   PubMed Web of Science ®Google Scholar
• Omohundro, S. 2014. “Cryptocurrencies, Smart Contracts, and Artificial Intelligence.” AI Matters 1 (2): 19–21.
   Google Scholar
• Parunak, H. V. D. 1996. “Applications of Distributed Artificial Intelligence in Industry.” Foundations of Distributed Artificial Intelligence 2: 1–18.
   Google Scholar
• Pokhrel, S. R., and J. Choi. 2020. “Federated Learning with Blockchain for Autonomous Vehicles: Analysis and Design Challenges.” IEEE Transactions on Communications 68 (8): 4734–4746.
   Web of Science ®Google Scholar
• Pournader, M., Y. Shi, S. Seuring, and S. C. L. Koh. 2020. “Blockchain Applications in Supply Chains, Transport and Logistics: a Systematic Review of the Literature.” International Journal of Production Research 58 (7): 2063–2081.
   Web of Science ®Google Scholar
• Raj Kumar Reddy, K., A. Gunasekaran, P. Kalpana, V. Raja Sreedharan, and S. Arvind Kumar. 2021. “Developing a Blockchain Framework for the Automotive Supply Chain: A Systematic Review.” Computers and Industrial Engineering 157, doi:https://doi.org/10.1016/j.cie.2021.107334.
   Web of Science ®Google Scholar
• Rane, S. B., and Y. A. M. Narvel. 2021. “Re-designing the Business Organization Using Disruptive Innovations Based on Blockchain-IoT Integrated Architecture for Improving Agility in Future Industry 4.0.” Benchmarking: An International Journal 28 (5): 1883–1908.
   Web of Science ®Google Scholar
• Saberi, S., M. Kouhizadeh, J. Sarkis, and L. Shen. 2019. “Blockchain Technology and its Relationships to Sustainable Supply Chain Management.” International Journal of Production Research 57 (7): 2117–2135.
   Web of Science ®Google Scholar
• Samarakoon, S., M. Bennis, W. Saad, and M. Debbah. 2020. “Distributed Federated Learning for Ultra-Reliable low-Latency Vehicular Communications.” IEEE Transactions on Communications 68 (2): 1146–1159.
   Web of Science ®Google Scholar
• Sayeed, S., H. Marco-Gisbert, and T. Caira. 2020. “Smart Contract: Attacks and Protections.” IEEE Access 8: 24416–24427.
   Web of Science ®Google Scholar
• Shahbazi, Z., and Y. C. Byun. 2021. “Smart Manufacturing Real-Time Analysis Based on Blockchain and Machine Learning Approaches.” Applied Sciences 11 (8): 3535.
   Google Scholar
• Sharma, P. K., N. Kumar, and J. H. Park. 2019. “Blockchain-based Distributed Framework for Automotive Industry in a Smart City.” IEEE Transactions on Industrial Informatics 15 (7): 4197–4205.
   Web of Science ®Google Scholar
• Singh, S. K., S. Rathore, and J. H. Park. 2020. “Blockiotintelligence: A Blockchain-Enabled Intelligent IoT Architecture with Artificial Intelligence.” Future Generation Computer Systems 110: 721–743.
   Web of Science ®Google Scholar
• Theorin, A., K. Bengtsson, J. Provost, M. Lieder, C. Johnsson, T. Lundholm, and B. Lennartson. 2017. “An Event-Driven Manufacturing Information System Architecture for Industry 4.0.” International Journal of Production Research 55 (5): 1297–1311.
   Web of Science ®Google Scholar
• Treleaven, P., R. G. Brown, and D. Yang. 2017. “Blockchain Technology in Finance.” Computer 50 (9): 14–17.
   Web of Science ®Google Scholar
• Venkatesh, V. G., K. Kang, B. Wang, R. Y. Zhong, and A. Zhang. 2020. System architecture for blockchain based transparency of supply chain social sustainability. Vol. 63.
   Google Scholar
• Wang, S., L. Ouyang, Y. Yuan, X. Ni, X. Han, and F. Y. Wang. 2019. “Blockchain-enabled Smart Contracts: Architecture, Applications, and Future Trends.” IEEE Transactions on Systems, Man, and Cybernetics: Systems 49 (11): 2266–2277.
   Web of Science ®Google Scholar
• Wang, S., Y. Yuan, X. Wang, J. Li, R. Qin, and F.-Y. Wang. 2018. “An Overview of Smart Contract: Architecture, Applications, and Future Trends.” 2018 IEEE Intelligent Vehicles Symposium (IV), 108–113.
   Google Scholar
• Wei, Z., Y. Feng, Z. Hong, R. Qu, and J. Tan. 2017. “Product Quality Improvement Method in Manufacturing Process Based on Kernel Optimisation Algorithm.” International Journal of Production Research 55 (19): 5597–5608.
   Web of Science ®Google Scholar
• Xia, S., F. Lin, Z. Chen, C. Tang, Y. Ma, and X. Yu. 2020. “A Bayesian Game Based Vehicle-to-Vehicle Electricity Trading Scheme for Blockchain-Enabled Internet of Vehicles.” IEEE Transactions on Vehicular Technology 69 (7): 6856–6868.
   Web of Science ®Google Scholar
• Xu, Z., and Y. Dang. 2020. “Automated Digital Cause-and-Effect Diagrams to Assist Causal Analysis in Problem-Solving: a Data-Driven Approach.” International Journal of Production Research 58 (17): 5359–5379.
   Web of Science ®Google Scholar
• Xu, L. D., E. L. Xu, and L. Li. 2018. “Industry 4.0: State of the art and Future Trends.” International Journal of Production Research 56 (8): 2941–2962.
   Web of Science ®Google Scholar
• Zhang, Yuanyu, S. Kasahara, Y. Shen, X. Jiang, and J. Wan. 2019. “Smart Contract-Based Access Control for the Internet of Things.” IEEE Internet of Things Journal 6 (2): 1594–1605.
   Web of Science ®Google Scholar
• Zhang, Yu, and J. Wen. 2017. “The IoT Electric Business Model: Using Blockchain Technology for the Internet of Things.” Peer-to-Peer Networking and Applications 10 (4): 983–994.
   Web of Science ®Google Scholar
• Zheng, Z., S. Xie, H.-N. Dai, W. Chen, X. Chen, J. Weng, and M. Imran. 2020. “An Overview on Smart Contracts: Challenges, Advances and Platforms.” Future Generation Computer Systems 105: 475–491.
   Web of Science ®Google Scholar