The ADAPT project: Adaptive and autonomous data performance connectivity and decentralized transport network
Publication date
2021-09-09
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taverne
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.
Keywords
Blockchain, Decentralization, Logistics, Personal protective equipment, Transportation, Taverne, Computer Networks and Communications, Information Systems
Citation
Kashansky, V, Saurabh, N, Prodan, R, Validi, A, Olaverri-Monreal, C, Burian, R, Burian, G, Hirsch, D, Lv, Y, Wang, F Y & Zuhge, H 2021, The ADAPT project : Adaptive and autonomous data performance connectivity and decentralized transport network. in GoodIT 2021 - Proceedings of the 2021 Conference on Information Technology for Social Good. GoodIT 2021 - Proceedings of the 2021 Conference on Information Technology for Social Good, Association for Computing Machinery, pp. 115-120, 1st Conference on Information Technology for Social Good, GoodIT 2021, Rome, Italy, 9/09/21. https://doi.org/10.1145/3462203.3475880, conference