Article deals with matters of quantitative methods of creating the optimal range for a small manufacturing enterprise. The classical approach to the formation of an optimal production program based on mathematical methods for linear programming is viewed through the prism of consumer...

In the early 2000s, the Republic of Turkey has initiated an ambitious reform program in the most important segments of her energy market; namely, electricity, natural gas, petroleum and liquefied petroleum gas industries, which requires privatization, liberalization as well as a radical...

In recent years, the government, of African Countries has assumed major responsibilities for economic reforms and growth. In attempting to describe their economies, economists (policymakers) in many African Countries have applied certain models that are by now widely known: Linear programming...

This study implements Mathematica to estimate a system of national accounts. The estimation methods applied are portrayed in Danilov and Magnus (2008), including the Bayesian estimation, restricted and unrestricted least-squares estimation and best linear unbiased estimation. Operationalizing...

An allocation's ordinal efficiency deficit (OED) is defined as the greatest ordinal efficiency loss that can result from its application. More precisely, an allocation's OED is the negative of the greatest total amount by which it may be stochastically dominated by another feasible allocation....

The submitted paper is intended to revolutionize the handling methods of credit sheets and the means of collecting budgetary incomes, on one hand, and to allow operators to verify in real time the happening and recording of an economical phenomenon in the area of credit ordination through the...

There are several methods to convert fuzzy or stochastic LP to conventional LP models. In this simple paper we evaluate the effectiveness of three proposed methods, using a numerical example from a pure factors portfolio.

Replacing a real process which we are concerned in with other more convenient for the study is called modeling. After the replacement, the model is analyzed and the results we get are expanded on that process. Mathematical models being more abstract, they are also more general and so, more...

In this paper we will solve some linear programming problems by solving systems of differential equations using game theory. The linear programming problem must be a classical constraints problem or a classical menu problem, i.e. a maximization/minimization problem in the canonical form with all...