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The ADAPT Project: Adaptive and Autonomous Data Performance Connectivity and Decentralized Transport Network

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Published:09 September 2021Publication History

ABSTRACT

The ADAPT project started during the most critical phase of the COVID-19 outbreak in Europe when the demand for Personal Protective Equipment (PPE) from each country's healthcare system surpassed national stock amounts. Due to national shutdowns, reduced transport logistics, and containment measures on the federal and provincial levels, the authorities could not meet the rising demand from the health care system on the PPE equipment. Fortunately, the PPE production capacities in China have regained (and expanded) their available capacities through which Austria now can get the demand of PPE to protect its citizens.

ADAPT develops an adaptive and autonomous decision-making network to support the involved stakeholders along the PPE supply chain to save and protect human lives. The ADAPT decentralized blockchain platform optimizes supply, demand, and transport capacities between China and Austria with transparent, real-time certification checks on equipment, production documentation, and intelligent decision-making capabilities at all levels of this multidimensional logistic problem.

References

  1. Saveen A. Abeyratne and Radmehr P. Monfared. 2016. Blockchain Ready Manufacturing Supply Chain Using DLedger. International Journal of Research in Engineering and Technology 5, 9 (2016), 1--10.Google ScholarGoogle ScholarCross RefCross Ref
  2. Michael Behrisch, Laura Bieker, Jakob Erdmann, and Daniel Krajzewicz. 2011. SUMO - Simulation of Urban Mobility: an Overview. In Third International Conference on Advances in System Simulation. IARIA, Barcelona, Spain, 23--28.Google ScholarGoogle Scholar
  3. Carlos Biurrun, Luis Serrano-Arriezu, and Cristina Olaverri-Monreal. 2017. Microscopic Driver-Centric Simulator: Linking Unity3D and SUMO. In 5th World Conference on Information Systems and Technologies. Springer, Porto Santo Island, Madeira, Portugal, 851--860.Google ScholarGoogle Scholar
  4. Christian Bliek1ú, Pierre Bonami, and Andrea Lodi. 2014. Solving Mixed-Integer Quadratic Programming Problems with IBM-CPLEX: a Progress Report. In Twenty-sixth RAMP Symposium. Hosei University, Tokyo, Japan, 171--180.Google ScholarGoogle Scholar
  5. Roberto Casado-Vara, Alfonso González-Briones, Javier Prieto, and Juan M. Corchado. 2018. Smart Contract for Monitoring and Control of Logistics Activities: Pharmaceutical Utilities Case Study. In 13th International Conference on Soft Computing Models in Industrial and Environmental Applications (AISC, 771). Springer, San Sebastian, Spain, 509--517.Google ScholarGoogle Scholar
  6. European Commission. 2016. The 'Blue Guide' on the implementation of EU products rules 2016. Official Journal of the European Union C 272, 01 (June 2016), 28--32. Commission Notice.Google ScholarGoogle Scholar
  7. Mario Dobrovnik, David M. Herold, Elmar Fürst, and Sebastian Kummer. 2018. Blockchain for and in Logistics: What to Adopt and Where to Start. Logistics 2, 3 (Sept. 2018), 18.Google ScholarGoogle ScholarCross RefCross Ref
  8. Jiang Duan, Chen Zhang, Yu Gong, Steve Brown, and Zhi Li. 2020. A Content-Analysis Based Literature Review in Blockchain Adoption within Food Supply Chain. International Journal of Environmental Research and Public Health 17, 5 (March 2020), 1784.Google ScholarGoogle ScholarCross RefCross Ref
  9. Ambros Gleixner, Michael Bastubbe, Leon Eifler, Tristan Gally, Gerald Gamrath, Robert Lion Gottwald, Gregor Hendel, Christopher Hojny, Thorsten Koch, Marco Lübbecke, Stephen J. Maher, Matthias Miltenberger, Benjamin Müller, Marc Pfetsch, Christian Puchert, Daniel Rehfeldt, Franziska Schlösser, Christoph Schubert, Felipe Serrano, Yuji Shinano, Jan Merlin Viernickel, Matthias Walter, Fabian Wegscheider, Jonas T. Witt, and Jakob Witzig. 2018. The SCIP Optimization Suite 6.0. ZIB-Report 18-26. Zuse Institute Berlin. http://nbn-resolving.de/urn: nbn:de:0297-zib-69361Google ScholarGoogle Scholar
  10. Petri Helo and A. H. M. Shamsuzzoha. 2020. Real-time supply chain - A Blockchain Architecture for Project Deliveries. Robotics and Computer-Integrated Manufacturing 63, 101909 (June 2020), 101909.Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Henry Hexmoor, Suray Alsamaraee, and Maha Almaghshi. 2018. Blockchain for Improved Platoon Security. International Journal of Information 7, 2 (March 2018), 1--6.Google ScholarGoogle Scholar
  12. Tigang Jiang, Hua Fang, and Honggang Wang. 2018. Blockchain-based Internet of Vehicles: Distributed Network Architecture and Performance Analysis. IEEE Internet of Things Journal 6, 3 (June 2018), 4640--4649.Google ScholarGoogle Scholar
  13. Vladislav Kashansky, Dragi Kimovski, Radu Prodan, Prateek Agrawal, Fabrizio Marozzo, Gabriel Iuhasz, Marek Marozzo, and Javier Garcia-Blas. 2020. M3AT: Monitoring Agents Assignment Model for Data-Intensive Applications. In 2020 28th Euro micro International Conference on Parallel, Distributed and Network-Based Processing. IEEE, Västerås, Sweden, 72--79.Google ScholarGoogle Scholar
  14. Gilbert Laporte. 1992. The Vehicle Routing Problem: An Overview of Exact and Approximate Algorithms. European Journal of Operational Research 59, 3 (June 1992), 345--358.Google ScholarGoogle Scholar
  15. Sidra Malik, Volkan Dedeoglu, Salil S. Kanhere, and Raja Jurdak. 2019. TrustChain: Trust Management in Blockchain and IoT Supported Supply Chains. In International Conference on Blockchain. IEEE, Atlanta, USA, 184--193.Google ScholarGoogle Scholar
  16. Florian Michaeler and Cristina Olaverri-Monreal. 2017. 3D Driving Simulator with VANET Capabilities to Assess Cooperative Systems: 3DSimVanet. In 2017 IEEE Intelligent Vehicles Symposium (IV). IEEE, IEEE, Redondo Beach, CA, USA, 999--1004.Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Saltanat Narbayeva, Timur Bakibayev, Kuanysh Abeshev, Irina, Makarova, Ksenia Shubenkova, and AntonPashkevich. 2020. Blockchain Technology on the Way of Autonomous Vehicles Development. Transportation Research Procedia 44 (2020), 168--175.Google ScholarGoogle ScholarCross RefCross Ref
  18. Christoph Sommer, Reinhard German, and Falko Dressler. 2011. Bidirectionally Coupled Network and Road Traffic Simulation for Improved IVC Analysis. IEEE Transactions on Mobile Computing 10, 1 (January 2011), 3--15.Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. WHO Team. 2020. Rational Use of Personal Protective Equipment for Coronavirus Disease (COVID-19) and Considerations During Severe Shortages.Google ScholarGoogle Scholar
  20. WHO Team. 2020. Report of the WHO-China Joint Mission on Coronavirus Disease 2019 (COVID-19).Google ScholarGoogle Scholar
  21. Edvard Tijan, Saša, Aksentijević, Katarina Ivanić, and Mladen Jardas. 2019. Blockchain Technology Implementation in Logistics. Sustainability 11, 4 (Feb. 2019), 1185.Google ScholarGoogle ScholarCross RefCross Ref
  22. Paolo Toth and Daniele Vigo (Eds.). 2002. The Vehicle Routing Problem. SIAM, 3600 University City Science Center Philadelphia, PA, USA.Google ScholarGoogle Scholar

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        cover image ACM Conferences
        GoodIT '21: Proceedings of the Conference on Information Technology for Social Good
        September 2021
        345 pages
        ISBN:9781450384780
        DOI:10.1145/3462203

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        • Published: 9 September 2021

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