Sokolov B., Verzilin D., Maximova T., Sokolova I. Dynamic Models of Self-organization Through Mass Behavior in Society // Advances in Intelligent Systems and Computing. Volume 1. Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 679). – Publisher: Springer International Publishing AG, 2018, pp. 114-123(Print ISBN 978-3-319-68320-1, Online ISBN 978-3-319-68321-80) DOI 10.1007/978-3-319-68321-8
Соколов
Mathematical model and algorithm of operation scheduling for monitoring situation in local waters
Литература
Sokolov Boris, Palitsyn Vladimir, Nazarov Dmitriy. Mathematical model and algorithm of operation scheduling for monitoring situation in local waters 12th International Scientific-Technical Conference on Electromechanics and Robotics “Zavalishin’s Readings” – 2017 (MATEC Web Conf.). Volume 113 (2017) 02012. [электронный ресурс] https://www.matec-conferences.org/articles/matecconf/pdf/2017/27/matecconf_er2017_02012.pdf. DOIhttps://doi.org/10.1051/matecconf/201711302012
Methods and algorithms of ship-building manufactory operation and resources scheduling
Литература
Sokolov Boris, Zelentsov Vyacheslav, Mustafin Nikolay, Kovalev Alexander, Kalinin Vladimir. Methods and algorithms of ship-building manufactory operation and resources scheduling //Proceedeings of The 19th International Conference on Harbor, Maritime & Multimodal Logistics Modelling and Simulation (HMS2017), September 18-20, 2017, Barselona, Spain. P.81–86
Scheduling of recovery actions in the supply chain with resilience analysis considerations
Литература
Ivanov Dmitry, Dolgui Alexandre, Sokolov Boris. Scheduling of recovery actions in the supply chain with resilience analysis considerations // International Journal of Production Research.[электронный ресурс] http://www.tandfonline.com/doi/full/10.1080/00207543.2017.1401747
Robust classification of texture land forest inventory based on model of minimally sufficient features
Литература
Yury Ipatov, Alexandr Krevetsky, Yury Andrianov, Boris Sokolov. Robust classification of texture land forest inventory based on model of minimally sufficient features // Journal of Applied Engineering Science. 2017. No.3. Vol.15. Part 1. P.236–241
Ripple effect in the supply chain: an analysis and recent literature
Литература
Dolgui A., Ivanov D., Sokolov B. Ripple effect in the supply chain: an analysis and recent literature // International Journal of Production Research. 18 October 2017. P.1-17. (In Print)
A Dynamic Approach to Multi-stage Job Shop Scheduling in an Industry 4.0-Based Flexible Assembly System
Литература
Ivanov D., Dolgui A., Sokolov B. A Dynamic Approach to Multi-stage Job Shop Scheduling in an Industry 4.0-Based Flexible Assembly System // IFIP Advances in Information and Communication Technology (IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2017; Hamburg; Germany; 3 September – 7 September 2017). Volume 513, 2017, P.475-482.
Minimization of disruption-related return flows in the supply chain
Литература
Ivanov Dmitry, Pavlov Alexander, Pavlov Dmitry, Sokolov Boris. Minimization of disruption-related return flows in the supply chain // International Journal of Production Economics.2017. No 183. P.503–513. DOI 10.1016/j.ijpe.2016.03.012
Получены новые гранты РФФИ
Новости
В конце 2017 – начале 2018 года были подведены итоги конкурса Российского фонда фундаментальных исследований (РФФИ), по результатам которого ЛИТСАМ получила новые гранты:
- Разработка теоретических и технологических основ интеллектуальной поддержки принятия решений при комплексном планировании работы городского магистрального транспорта в мегаполисе с учетом предпочтений пассажиров различных социальных групп (руководитель – проф. Соколов Борис Владимирович);
- Разработка и исследование методов и алгоритмов проактивного управления восстановлением работоспособности бортовых систем сложных динамических объектов при возникновении нештатных ситуаций (руководитель – проф. Охтилев Михаил Юрьевич).
River Flood Forecasting System: An Interdisciplinary Approach
Литература
Zelentsov V. et al. River Flood Forecasting System: An Interdisciplinary Approach. In: Refice A., D’Addabbo A., Capolongo D. (eds) Flood Monitoring through Remote Sensing. Springer Remote Sensing/Photogrammetry. Springer, Cham, 2017. DOI https://doi.org/10.1007/978-3-319-63959-8_4