The article considers modeling of intangible components of logistics flows as a tool for optimizing production costs in the pulp and paper industry. The study analyzes the role of non-physical elements of logistics, such as information flows, communication channels and knowledge management, in reducing production costs. The author describes methods for integrating intangible components into logistics models, the use of artificial intelligence and machine learning to optimize supply chains, as well as modern approaches to data collection and analysis. Particular attention is paid to predictive modeling, stakeholder interaction, regulatory compliance and technological trends in the industry. The results of the study demonstrate that effective management of intangible components of logistics flows can significantly reduce production costs and increase the competitiveness of pulp and paper enterprises.
Gennady V. Kulyaskin (Mon,) studied this question.