COMPOSITION OF METHODS IN MULTI-CRITERIA OPTIMIZATION FOR THE FORMATION OF PRODUCT RANGE

Abstract

Subject of article is the mechanisms for the formation of optimal assortment of manufactured, purchased or sold products by various enterprises, both manufacturing and trading. The huge costs of storing products of various kinds were fixed, but at the same time, absence of goods in demand in offered assortment, even those belonging to the same group. Therefore, purpose of this study is to combine various mathematical methods in composition with multicriteria optimization methods for the formation of an optimal product range. Relevance of this study is due to practical need to select the optimal assortment that satisfies many conflicting restrictions and criteria. In this regard, it became necessary to develop a technique that allows you to find many solutions, each of which surpasses the rest of solutions in at least one parameter. From an economic point of view, we are considering not one objective function, but constructing several objective functions, each of which has an optimal solution for its own values of independent variables. Such optimization problems always arise in various fields of human activity, since all of them are nevertheless multi-criteria in nature. At the same time, finding the optimal solution allows you to achieve savings not only in cash and material resources, but also on other hand, significantly reduce production time and waste. To solve this problem, there are various optimization methods, each of which has both advantages and disadvantages. In this regard, there arises a research task to use the advantages and eliminate the disadvantages in form of composition of methods in multi-criteria optimization. Here we consider an example of using the proposed composition of methods in solving the difficult problem of choosing a car brand in the car market. As a result, methodology was developed for the formation of optimal product range with the identification of economic risks, which allows the proposed algorithm to be used both in the manufacturing sector and in trade enterprises.