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News
August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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Contingency production-inventory control policy for capacity disruptions in the retail supply chain with perishable products

P. 1448–1452.
Rozhkov M., Ivanov D.

 

Interrelations of product perishability and supply chain resilience are studied. The major distinguishing features in a supply chain with perishable products that may affect the resilience are the risks of goods write-off. Constraints on product perishability typically result in safety stock reductions and transportation frequency increase. Consideration of the production capacity disruption risks may lead to safety stock increase. The developed simulation model was run with data of a fast moving consumer goods company and revealed  novel  managerial insights and practical recommendations on inventory, on-time  delivery and service level control.  More specifically, the evidence for adjustment of production and inventory control policies during the disruption time is provided. Otherwise the delayed and backlog orders are accumulated over the disruption time. They transit as residues into the post-disruption period and do not allow full performance and operation dynamics stabilization even after full capacity recovery. An example of such a contingency production-inventory control policy is presented.

Language: English
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Keywords: supply chainsimulationperformancerecoverydisruptionsproduction-inventory control

In book

16th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2018
Vol. 51. Issue 11: 16th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2018. , Elsevier, 2018.
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