MAGAZINE  №2-3 (103) - 2021




KOROBOV V.B. - Doctor of Geographic Sc., Leading Researcher, Russian Academy of Science, Shirshov Institute of Oceanology (Saint-Petersburg, Russia)

FILCHUK K.V. - Cand. of Phys.-Math. Sc., Leading Researcher, Head of department, Arctic and Antarctic Research Institute, Oceanology department (SaintPetersburg, Russia)

YULIN A.V. - Cand. of Geogr. Sc., Senior Researcher, Head of laboratory, Arctic and Antarctic Research Institute,
Department of ice regime and forecasts (Saint-Petersburg, Russia) 

CATEGORY  Logistic infrastructure Transportation in logistics


Natural conditions have a great impact on the delivery of goods and people by water transport to the coast and islands of the Arctic seas. The most significant impact on the timing of navigation is provided by complex configuration of the coasts, ice cover, storm wind and fogs. Within the framework of the traveling salesman task, which allows optimizing transport routes, the authors investigated the effect of average statistical hydrometeorological conditions on the time of the vessel's being on the road when visited 15 points. A comparison of the calculations with "ideal" conditions, when the influence of the ice cover and meteorological conditions is not considered, showed that even in this case, the reduction in transit time is 5.63%. It is concluded that considering the optimization of routes based on the effects of natural conditions should become an important element of a centralized supply management system, since it will allow forming routes in the configuration that will make it possible to increase the efficiency of budget expenditures and the quality of management of northern delivery. 

 Electronic version



MAGAZINE  №4 (99) August 2020


CATEGORY Logistics service management Optimization and mathematical modelling Supply chain planning



The current state of management practice is characterized by the presence of a demand to improve the efficiency and effectiveness of logistics processes, on the one hand, and an insufficient level of application of one of the main tools for achieving this goal – optimization modeling, on the other. One of the main reasons of this phenomenon is the lack of a universal basis of the proposed optimization models that does not allow them to be applied widely enough in companies with different business process structures. The aim of the research was to develop a universal, based on the SCOR framework, integrated model for optimizing the logistics service of an enterprise. During the research process, the overview of the developed models for logistics service optimization, the analysis of the limitations of the logistics system optimization models, the adaptation of the map of SCOR process metrics have been carried out; the influence diagram of the optimization model components has been developed; the models of cost optimization and logistics service optimization have been combined into a single integrated optimization model; an algorithm for the optimal solution search has been elaborated; the implementation of the model and algorithm as a program for the solution search has been introduced. As a result, the integrated optimization model based on the components of the SCOR model has been developed, combining the cost and service level optimization models, using the outputs of one model as inputs for another when searching for an optimal solution. Building the optimization model on the basis of the SCOR model components provides universal character of its application, taking into account the set of costs, arising in a logistics system, including indirect ones, and the set of metrics of logistics service reflects the links between functional departments, the ability to maintain a level of total costs at the efficiency frontier, achieving the goal of the profit maximization at the same time, provides a link between the tactical and operational levels of decision-making, which together leads to an increase in the reasonableness and quality of management decisions, and creates prerequisites for the overall optimal functioning of an enterprise logistics system.


 Electronic version

 Keywords:  SCOR optimization Optimization Models optimization modeling logistics service logistics costs logistics processes business process metrics performance indicators KPI

MAGAZINE №3 (80) June 2017



LEVENTSOV V.A. - Cand. of Ec.Sc., Associate professor, Director, Graduate School of Industrial Management and Economics, Peter the Great Saint-Petersburg Polytechnic University (St. Petersburg, Russia)

KOBZEV V.V. - Doctor of Ec.Sc., ProfessorGraduate School of Industrial Management and Economics, Peter the Great Saint-Petersburg Polytechnic University (St. Petersburg, Russia)

CATEGORY  Inventory management Optimization and mathematical modelling


Urgency of the research is connected with the modern conditions of domestic industrial enterprises’ functioning process. Particularly, we are talking about complex structure of corresponding supply networks and processed material flows, increasing competition between enterprises as a result of goods market’s globalization, considerable share of logistic costs in production price, etc. Above-mentioned conditions determined appropriateness of definition for the problem concerning determination of characteristics for multi-item inventory control system which defines effectiveness of functioning for corresponding warehouse capacities. In the initial stages of the research the analysis of scientific works concerning research area has been performed, corresponding results have become the basis for the conclusion about limitation of existing tools for real-world inventory problems’ solving. During the next stage of the research basic optimization model for determination of characteristics for multi-item inventory control system has been created. The model describes situation when goods are dispatched with variable intensity described by uniform probabilistic distribution and are accepted as batches with certain size. At the next research stage mentioned model has been modified for taking into account the opportunity of ordering batches with variable size to make corresponding multi-item inventory control system more flexible. The distinctive feature of created models concerns two parameters being used in proposed inventory control system – minimal and maximal reorder points. Minimal reorder point defines the moment of batch ordering for certain inventory item, maximal reorder point is used for estimation of appropriateness for batch ordering for additional inventory items towards above-mentioned item being replenished on the basis of minimal reorder point. During the next stage of the research created optimization models have been realized in a practical example with application of «Solver» add-in of «Microsoft Excel» software. The results of models’ realization confirmed high practical importance of the tools created during the research.  

 Electronic version


Published in Inventory management


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