Improvement of Supply Chain Risk Management Algorithm using Modern Technologies
Sushkova Olena1, Tumanova Elena2, Bekirova Sevil3, Bondar Aleksandr4, Voroshilo Viktoria5

1Sushkova Olena, Department of Customs, University of the State Fiscal Service of Ukraine, Irpin, Ukraine.
2Tumanova Elena, FSAEI HE V.I. Vernadsky Crimean Federal University, Simferopol. Ukraine.
3Bekirova Sevil, Department of Agribusiness Economics, Institute of Economics and Management Structural Subdivision, FSAEI HE V.I. Vernadsky Crimean Federal University, Simferopol. Ukraine.
4Bondar Aleksandr, FSAEI HE V.I. Vernadsky Crimean Federal University», Simferopol. Ukraine.
5Voroshilo Viktoria, FSAEI HE V.I. Vernadsky Crimean Federal University, Simferopol, Ukraine.
Manuscript received on 27 November 2019 | Revised Manuscript received on 06 December 2019 | Manuscript Published on 11 December 2019 | PP: 219-225 | Volume-8 Issue-3C November 2019 | Retrieval Number: C10371183C19/2019©BEIESP | DOI: 10.35940/ijrte.C1037.1183C19
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Abstract: Essence of the risk management model in supply chains of enterprises is investigated in the article. Classification of type risks faced by enterprises in construction of their own supply chains is considered. The SCRM model is analyzed as a supply chain management tool. Necessity to introduce a risk management algorithm at enterprise using modern technologies is substantiated. Structural elements and relationships of the supply chain risk management algorithm are identified. It is justified that one of the most effective tools for identifying and analyzing risks in supply chain is big data, which should include information about the participants (elements) of the supply chain; resources used by supply chain members and / or moving between its elements; logistics processes that occur at each stage of the supply chain. It is also established that the use of block chain technology will ensure the integrity, reliability and security of information, which will form the basis of big data risk management in the supply chain, and the effective functioning of the entire supply chain risk management system.
Keywords: Factors of Risk in Supply Chain, Risk Types, Supply Chain Risk Management, Big Data, Decision Analysis.
Scope of the Article: Algorithm Engineering