Scientific & Practical Journal
Editorial News
Dear readers, we are pleased to present the ninth issue of the journal “LOGISTICS” for 2026. The issue features articles that not only reflect current industry trends but also provide practical guidance for managerial decision‑making.
Dear readers! You are holding the combined issue of the “LOGISTICS” journal, in which we have collected materials for July and August 2026. It brings together practice and theory, applied solutions and bold methodological explorations.
Dear readers! We are pleased to present you with the sixth issue of the journal for 2026, in which the theory and practice of logistics are explored in a variety of relevant areas. This issue is truly multifaceted, combining reflections on the essence of logistics processes with applied calculations and industry-specific cases.
PHOTO OF THE WEEK
CITATIONS
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
About the application of machine learning methods in supply chain management under uncertainty
S.A. Khmelnitskaya, I.I. Milchenko2 / 2026 | INFORMATION TECHNOLOGIES
Annotation. The article systematizes scientific approaches to the concept of «market uncertainty», presents the principles of functioning and limitations of traditional forecasting methods. The article defines the tasks and classifies machine learning methods, discusses the stages of integrating ML solutions into logistics systems, and substantiates the importance of predictive analytics using artificial intelligence.
Key words. Market uncertainty, supply chain uncertainty factors, traditional forecasting methods, demand forecasting accuracy, machine learning, and artificial intelligence.
Address: 125581, Moscow, Leningradskiy avenue, 63,
floor 6, office 1
Phone: +7 (495) 788-16-96
Е-mail: sales@mg-agency.com
 |
 |
Total or partial reproduction of materials in any way
is allowed only with the written permission of the Publisher
Website developed by
alexeydoronin.com
