MAGAZINE  №6 (95) December 2019

AUTHORS GERASIMOVA M.M., MEDVEDEV S.O., MOKHIREV A.P., RUKOMOJNIKOV K.P. 

CATEGORY  Industrial companies’ corporate logistics Optimization and mathematical modelling

 

ABSTRACT

 In the logging process, it is possible to build a technological chain in various ways. When transporting wood from the cutting area, water or land transport can be used. The use of forest warehouses and the processing of wood on them also increase the number of different configurations of logistics channels. Performing operations in different natural production conditions differs in productivity and material costs. The efficiency of production depends on the choice of logging technology in dynamic natural production conditions. In previous publications the authors presented a graphic-analytical model and method to solve the problem. The proposed mathematical dependencies allow us to search for the maximum material flow of the minimum cost in the logistics network of the enterprise. In addition to the dynamic component, the method differs by considering the income of the enterprise from the sale of commodity products. The purpose of this study is to use this technique to improve the logistics network of logging enterprises, considering the complex of transport, loading and unloading and processing operations in dynamic natural production conditions. The solution of the considered problem is based on the algorithm for determining the flow of minimum cost in a transport network Bascara of Gowan. It is modified because when the flow passes through any of the arcs, the throughput of arcs that reflect similar operations in the same period decreases. This considers the reduced productivity of machines and equipment involved in different parts of the logistics network. The given minimum cost flow found in this way is optimal if there are no negative cycles in the network with modified arc costs. The presented studies consider a numerical example of solving this problem for the conditions of the Krasnoyarsk territory. The numerical example showed the efficiency of the method of finding a rational logistics channel for logging operations in dynamic natural production conditions.

 Electronic version

 Keywords: process modeling process approach process management graph theory modelling logistics network dynamic model dynamic supply chains production organization effectiveness efficiency

 

MAGAZINE  №3 (92) June 2019

AUTHORS 

GERASIMOVA M.M. - Cand. of Eng. Sc, Associate professor, Department of Information and Technical Systems, Lesosibirsk Branch of Reshetnev Siberian State University of Science and Technology (Lesosibirsk, Russia)

GERASIMOV V.N. - Department of Technology of Logging and Wood Processing Industries, Lesosibirsk Branch of Reshetnev Siberian State University of Science and Technology (Lesosibirsk, Russia)

MEDVEDEV S.O. - Cand. of Eс. Sc, Associate professor, Department of Economic and Natural Sciences, Lesosibirsk Branch of Reshetnev Siberian State University of Science and Technology (Lesosibirsk, Russia)

MOKHIREV A.P. - Cand. of Eng. Sc, Associate professor, Department of Technology of Logging and Wood Processing Industries, Lesosibirsk Branch of Reshetnev Siberian State University of Science and Technology (Lesosibirsk, Russia)

CATEGORY  Optimization and mathematical modelling Terminology in logistics and SCM

ABSTRACT

The method of solving the problem presented in the article consists in determining the optimal routes and volumes of wood transportation, which ensure the minimum cost of transporting the timber harvested at logging sites to the consumer. The solution technique consists of two stages: finding the maximum flow in the transport network and finding the specified flow of the minimum cost. For the solution, the Ford-Fulkerson algorithm and the Basaker-Gowen method are used. A key feature of the methodology is the solution of the problem with the use of graph theory. It allows you to determine the most appropriate routes for the enterprise, considering a number of features of the forest area. This problem can be a basis for the decision of geoinformation logging transport problems.

 Electronic version

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