MAGAZINE  №2 (91) April 2019


CATEGORY  Controlling Industrial companies’ corporate logistics



The article is devoted to the formation of a management model of the logistics system of a mining enterprise – the focal company of the supply chain. To ensure its activities, a mining company forms a complex structure – the supply chain, representing a set of organizations creating additional customer value, interacting with the movement of material and other related flows from the source of raw materials to the final consumer. Supply chain management activities include integrative behavior of a focal company aimed at its customers and suppliers. The efficiency of the entire supply chain depends primarily on the effectiveness of the activities of its main link – the logistics system of the focal company of the supply chain.
To solve this problem, the author proposed a conceptual approach based on system analysis to form a model for managing the logistics system of the focal company of the supply chain.
The proposed approach specifies the purpose of the logistics system, conditions and methods for achieving it, the necessary resources, business processes, qualitative parameters to evaluate the effectiveness of managing the logistics system and its subsystems. The need to adapt the proposed model of management of the logistics system to the specific conditions of a mining enterprise activity affecting the mechanism of management of logistics flows is justified.
The author has developed a technique for quantitative assessment of the properties of the logistics system, as well as indicators for the operational control and evaluation of the management efficiency of the mining company’s logistics system.

 Electronic version


MAGAZINE №6(89) December 2018



GRIGOREV M.N. - Cand. of Eс. Sc., Associate professor, St. Petersburg State University of Economics (St. Petersburg, Russia)

CATEGORY Analysis in logistics and SCM Supply chain management


Supply chain management is based on the use of rather heterogeneous and uncertain information. The uncertainty of the market information or product gives rise to the asymmetry of information – the circumstances in which some of the participants in the transaction possess the important other participants do not have. This problem was first noted by K. Arrow in 1963.

In 1970 G. Akerlof proposed a mathematical model of the market with asymmetric information. In such a market, the price of goods tends to decline even for goods with perfect quality. There are options for the development of a situation in which such a market disappears completely.

The problem of asymmetric information has since been studied in relation to different markets and products, such as insurance markets, used car models and others, but the problem has been little studied in relation to supply chains.

The presence of various types of uncertainty in supply chains makes it possible to apply the theory of fuzzy sets. Application of the fuzzy set theory allows to combine all kinds of information into a single whole and adequately consider it. To do this, it is necessary to provide information about the functioning of logistics systems in the form of membership functions.

Using the tools of fuzzy set theory, it is possible to develop a conceptual model for overcoming information asymmetry in supply chains between different market participants, which will improve the transparency and reliability of their supply chains.

When modeling the processes of overcoming information asymmetry in supply chains, it is possible both to increase and reduce the number of signs affecting the manageability of supply chains, depending on the complexity of the logistics systems. Due to this, this model can be adapted to a variety of forms of interaction between logistics and trade organizations, regardless of their size and scope of activity.

Thus, this model allows to establish the degree of reliability, transparency and manageability of supply chains between their different participants and to find:

  •  the best ratio of qualitative and quantitative features characterizing certain supply chains between different organizations with the existing information asymmetry between them;
  •  ways to reduce information asymmetry and increase information transparency depending on the values of the indicators that characterize the supply chain and choose the best one.

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