Manufacturer’s Strategic Risk Temperature Assessment with Convergent Approach, Cognitive Modelling and Blockchain Technology

Author:

Raikov A.

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference10 articles.

1. Dolgui, A., Ivanov, D., Sokolov, B. (2018). Ripple effect in the supply chain: an analysis and recent literature. International Journal of Production Research, Taylor Francis, Leading scholars in Production Research, 56 (1-2), pp.414-430. 10.1080/00207543.2017.1387680. hal-01741690

2. Gubanov, D., Korgin, N., Novikov, D., Raikov, A. (2014). E-Expertise: Modern Collective Intelligence, Springer. Series: Studies in Computational Intelligence, Vol. 558, XVIII, 112 p.

3. Ivanov, D. & Dolgui, A. (2018). Low-Certainty-Need (LCN) supply chains: a new perspective in managing disruption risks and resilience. International Journal of Production Research. 1-18. 10.1080/00207543.2018.1521025.

4. Klimenko, S. & Raikov, A. (2013). Virtual Brainstorming. Proc. of The International Scientific-Practical Conference on Expert Community Organization in the Field of Education, Science and Technologies, September 26-27, Triest, Italy, 181-185.

5. Lepskiy, V. (2019). The evolution of cybernetics. Classical, non-classical and post-non-classical science. Cybernetics and Systems Social and Business Decisions. Routledge 2 Park Square, Milton Park, Abingdon, Oxon OX14 4RN; 52 Vanderbilt Avenue, New York, NY 10017. ISBN: 978-1-138-59728-0 (hbk), ISBN: 978-0-429-48698-2 (ebk).

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