scholarly journals Risk minimisation methods in shaping the optimal range of treadmills

2022 ◽  
pp. 149-156
Author(s):  
A. M. Fadeeva

The article presents a solution to the problem of integrating risk minimisation methods in the process of forming the optimal range of treadmill models in a retail enterprise. The problem of multi-criteria optimisation was solved using the generalised criterion method. The formulated problem was therefore broken down into a number of specific tasks, each of which was solved by selecting specific methods. Risks were minimised by mathematical methods, taking into account the economic performance of the enterprise. Recommendations were also offered for customers wishing to purchase one of the treadmill models chosen from the analysis and the best option for ordering via the online shop with home delivery. 

2014 ◽  
Vol 6 (1) ◽  
pp. 102-114
Author(s):  
Yury Vasilyevich Krivolutskiy ◽  
Elena Yuryevna Zakharova

This article delves into decision making in producers activity under shortage of financials, materials and human resources. Every decision to be made is generally a multicriterial task. At the same time these criteria are controversial: amelioration of one criterion leads to degradation of another. That is why solution finding with the use of mathematical methods is worth to consider. Hereafter theoretical stuff and practical exemplification of decision making under multicriterial conditions are presented. In many mathematical methods of decision making multicriterial task is simplified to one criterion. Therefore the main attention is paid to global criterion method, providing a means to define optimum out of several criteria. The point of the method assumes to weigh up the initial criteria and create a single global criterion, serving as a key to decision making. The weight coefficient of each criterion is defined by experts. There are several methods of combining criteria. Nevertheless in practice three methods are used: criteria relation, criteria multiplication and criteria summing up. The methods are analyzed and practical examples are shown in the article. Other approaches to combining criteria are also examined. It is generally agreed that every method of decision making has its own pros and cons, which in turn define the optimum range of its application.


2020 ◽  
Author(s):  
Mª de la Cruz Déniz‐Déniz ◽  
Mª Katiuska Cabrera-Suárez ◽  
Josefa D. Martín-Santana

2013 ◽  
pp. 4-23 ◽  
Author(s):  
V. Mau

The paper deals with the trends in the world and Russian economies towards development of a new post-crisis system, including technological and structural transformation. Three main scenarios of Russian economic development (conservative, innovation and acceleration) are discussed basing on historical analysis of Russian economic performance since 1970-s when oil boom started. On this basis key challenges of economic policy in 2013 are discussed.


2014 ◽  
pp. 4-32 ◽  
Author(s):  
V. Mau

The paper deals with Russian social and economic development in 2013 and prospects for the next year or two. The author discusses the logic and trends of the global crisis started in 2008. This is the basis for further analysis of current Russian economic performance with special emphasis on the problem of growth rates deceleration. Special attention is paid to economic risks and priorities of economic policy.


2012 ◽  
pp. 82-95 ◽  
Author(s):  
D. Foley

Mathematical methods are only one moment in a layered process of theory generation in political economy, which starts from Schumpeterian vision, progresses to the identification of relevant abstractions, the development of mathematical and quantitative models, and the confrontation of theories with empirical data through statistical methods. But today the relevant abstract problems of political economy are modified to fit available mathematical tools. The role of empirical research in disciplining theoretical speculation, on which the scientific traditions integrity rests, was undermined by specific limitations of nascent econometric methods, and usurped by ex cathedra methodological fiats of theorists. These developmentssystematically favored certain ideological predispositions of economicsas a discipline. There is abundant room for New Thinking in political economy starting from the vision of the capitalist economy as a complex, adaptive system far from equilibrium, including the development of the theory of statistical fluctuations for economic interactions, redirection of macroeconomics and financial economics from path prediction toward an understanding of the qualitative properties of the system, introduction of constructive and computable methods into economic modeling, and the critical reconstruction of econometric statistical methods.


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