MAGAZINE №2 (73) April 2016




CATEGORY  Optimization and economic-mathematical modeling Corporate logistics industrial companies Logistics production 


The task of increasing the efficiency of production and and financial activities is more relevant today for domestic enterprises of the real sector of the economy, which is necessary in the coming years to solve the problem of import substitution on a number of items of products, previously imported from the European Union and the United States. The paper presents various options for setting the problem of optimizing the enterprise production program with limited material and financial resources. The dynamic and static performances, as well as a model that takes into account the uncertainty of the state of the environment. Static models belong to the class of linear and nonlinear programming. The dynamic model is the optimal control problem for which, due to the complexity of the decision procedures, proposed a method of obtaining an approximate solution based on the approximation of the integrand. Uncertainties taken into account in two models: one assumes that a priori unknown prices for finished products, the other – the best solution depends
on the advance of the unknown quantity of inflation. An example of one of the models implementation for the practical solution of the problem of production program optimization of the food industry is given in the article. It is shown that the solution can not only determine the optimum amounts of the finished product for multi nomenclature production, but also to justify the conclusion about the need to attract credit and leasing.


MAGAZINE №1 (66) February 2015


EREMIN A.A. director for economics OJSC “Magnitogorsk Iron and Steel Works” (Magnitogorsk, Russia)

RUZANKIN V.K. head of production economy department of economy direction OJSC “Magnitogorsk Iron and Steel Works” (Magnitogorsk, Russia)


CATEGORY Corporate logistics industrial companies Planning the supply chain


The article analyzes practical aspects of master planning process organization with the usage of linear programming methods at one of the largest Russian metallurgical companies.

Planning process analysis before improvements is provided. Its key disadvantages are defined which are simplification of model, absence of scalability, and absence of optimization capabilities. The conclusion is done about necessity of formalization of planning process, development of economic-mathematical model of company’s supply chain in specialized tool with optimization capabilities.

It is highlighted that the new master planning process was based on own company’s experience and elements of Supply Chain Management concept from Global Supply Chain Forum (GSCF). Particularly elements and principles of the demand management process of GSCF were used.

The key stages of planning system implementation were analyzed. Qualitative and comprehensive items design is highlighted as very important and resource consuming task.

The technologies for master planning are defined and reasons for their usage are proved. It is highlighted that integrated approach to tactical planning with the usage of linear programming methods allows a company to form comprehensive understanding of key factors which influence the final result, find out potential appearance of undesired situations and define best alternatives in company’s business.

In conclusion the description of achieved results at the metallurgical company is provided, also economic reasons for improvement implementation is defined. 



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