
Improvement of Supply Chain Risk Management Algorithm using Modern Technologies
Author(s) -
Стрельнікова Олена,
Tumanova Elena,
Fazhi He,
Bekirova Sevil,
B Zaitsev Aleksandr,
Voroshilo Viktoria
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c1037.1183c19
Subject(s) - supply chain , supply chain risk management , supply chain management , risk analysis (engineering) , risk management , reliability (semiconductor) , service management , business , computer science , process management , operations management , finance , engineering , marketing , power (physics) , physics , quantum mechanics
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.