Abstract
The usage of quantitative tools for creating the mathematical models of functioning different economic facilities abounds the opportunity for better understanding and acquaintance of the surrounding reality. A lot of thinkers identify even universality of the particular branch of knowledge with the extent of its ‘mathematization’. Applying mathematical methods so called quantitative provide great and not to overestimate services not only in the science research of technique, physics, astronomy, biology and medicine, but also – within the qualitative methods- in the field of social science in the sphere of the control of the quality of production or in the process of service management or decision making. Complex nature of the social and economic phenomena requires making the usage of the most modern means and the ubiquitous computerization significantly confirms the usefulness of these methods. Progressing ‘mathematization’ and computerization of the science forces creating and applying quantitative (mathematical) models including economic science. The model of operating of studied system was considered in two variants. I. when the process of the product delivery to the store represents inclusively the subsystem of production and the subsystem of the transportation – it could be then said that the level of filling the store up is controlled by the aggregated process of the delivery of the product. 
 when the process of the product delivery to the store takes into account explicate both the production process and also the operating of transportation subsystem, so it is then the structural process of the product delivery. Both in the aggregated and structural version, the analyses of the functioning of the system was made in three variants of the store filling: intermediate state of the store filling; zero state of the store filling that is lower barrier; the state of full storage of the store, that is the upper barrier. The result of my analyses are two proprietary probabilistic models of system operation which are presented through the system of differential equations both in the aggregated and structural variant. Probabilistic models of functioning of the system in both variants presented throughout the probabilistic model also enable determining sizing prognosis which are characteristic for the functioning of this system. These prognoses are transferred to the unit of the management system and they provide the premises to the streamline of its functioning.
 These tools create the basics of theoretical and methodological constructed computer programmes of the informative systems of decision-making support.
Highlights
More than two centuries ago, Polish mathematician and philosopher Jan Śniadecki stated, that (I quote): “... the human mind in its thoughts, views and reasoning would be unequally happier and more confident, if it could, in any case, know how close or far it is from surety what to expect from calculation of chance adapted to other sciences, as it is used today in physics and astronomy
The use of quantitative tools in building mathematical models of the functioning of various businesses creates the opportunity for a better understanding and control of the surrounding reality
Many thinkers equate the universality of a given field of knowledge with the degree of its “mathematization” according to the saying of Immanuel Kant that "every science contains as much knowledge as much mathematics it contains”. (Żwirbla, 2007)
Summary
More than two centuries ago, Polish mathematician and philosopher Jan Śniadecki stated, that (I quote): “... the human mind in its thoughts, views and reasoning would be unequally happier and more confident, if it could, in any case, know how close or far it is from surety what to expect from calculation of chance adapted to other sciences, as it is used today in physics and astronomy. Quantitative models in the form of formulas or indices can be found in the analysis of purchasing processes both in the functional and decision-making sphere in relation to the size of the dynamics and structure of purchase and the impact of prices on the operating costs of the logistics system
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