Program and Project Approaches to Solving Large-Scale Environmental Problems

The article discusses the federal program “Ecology of the Angara-Yenisei region (AYR)”. The description of the systemic synthesis of different approaches to the assessment of the program of restoration and preservation of the natural complex of the Yenisei, as the skeletal basis of the ecological-assimilation potential of AEP is given. The necessity of taking into account the uncertainty factor when evaluating large-scale environmental projects is substantiated. Purpose of the study. Show that the effects of large-scale projects affect the very scenario of economic development, in this regard, it is incorrect to use the primitive integration of an alternative (strategy) into the same scenario, it is shown that it is necessary to evaluate the “project – scenario” relationship. Materials and methods. The authors propose to use three levels of assessment for evaluating large-scale projects: macro level, meso level and micro level. This classification allows you to gradually reduce the level of uncertainty. The information obtained at the previous level of assessment is the source for the lower level. Results. At the first stage, the judgments of the experts were processed using computer products developed at the IEIE. At the second step, the National Project “Ecology of Russia” was analyzed, consisting of 11 federal projects, and a mathematical model was developed for the multicriteria problem of optimal cost management of the project, taking into account the uncertainty factor. The result of the third step was the creation of a hybrid model for assessing large-scale environmental projects from a logical-heuristic model based on expert information and an economic-mathematical model. Analogs of such models, created with the participation of the authors, work in the evaluation of large-scale railway projects. This refers to a family of semi-dynamic optimization models, which have been tested to varying degrees in solving meso-level problems, both in planned and market economies. Moreover, on the basis of one of the versions of this family, a medical-ecological-economic model was developed, and with its help, a scenario analysis of the development of the subjects of the Asian part of Russia was carried out. Conclusion. The article provides a brief description of the functionality and the need to use the appropriate mathematical and software tools as the stages of large-scale projects progress from concept to implementation.

Multicriteria problem of evaluation of the enterprise labor protection management system efficiency

Introduction of the system of enterprise labor protection management still remains a topical question for business entities of production and non-production activity spheres. The effectiveness evaluation of enterprise labor protection management is based on the method of multicriteria choice of alternatives using the fuzzy preference relations. The application of the chosen method allows, unlike the other methods, to identify its shortcomings in all objectivity detecting the adverse consequences. Therefore, the situation can be normalized in time.

AN ALGORITHM FOR OBTAINING THE OPTIMAL GUARANTEED RESULT FOR OBJECTS WITH EXTREME CONDITIONS

In this paper, an algorithm for obtaining the optimal guaranteed result for objects with extreme states is developed, based on the establishment of the function and functionals of an analytical form. The methodology for choosing a control strategy for an object with the best guaranteed result is described. The essence of the technique is to find an optimal solution to a multicriteria problem that maximizes the values of all functions. At the same time, the existence of a solution that literally maximizes all objective functions is a rare exception. The problem of obtaining a guaranteed result and the study of the possibility of its improvement, as well as the problem of choosing a rational solution were considered. It has been established that a strategy that has an efficiency estimate in a given operation equal to the best (largest) guaranteed result is the optimal guaranteeing strategy. The objective function has been determined, and an optimally guaranteed strategy has been undertaken for the management of biotechnological industries using information technology.

Quality yarn index using AHP and Fuzzy method

The yarn quality depends on many parameters: characteristics parameters, mechanical and physical properties. Making the hypothesis that the quality of the yarn is a multicriteria problem, in this paper, we propose a new method to determine the Quality Yarn Index QYI based on Analytic Hierarchy Process AHP and Fuzzy theory. A questionnaire was designed for experts of each field (weaving and knitting) to evaluate the relative importance for each property to determine coefficients of the AHP matrix. Results revealed that matrix coefficients changed with yarn application (weft or warp weaving and knitting) The QYI can be used in any application, where a rapid decision is needed, to evaluate the global quality of yarn and to make a comparison between different yarn qualities

Multicriteria Decision Tool for Sustainable Reuse of Industrial Heritage into Its Urban and Social Environment. Case Studies

Most of industrial heritage assets need new activities to ensure their survival. In addition, the collection of assets is very broad, many of their locations have now become central and are targets for speculation, and the nature of these sites displays great specialization. Consequently, processes for reusing these assets are necessary to conserve them, but they risk destroying features whose value has been inadequately identified. This work faces this multicriteria problem by adapting the Analytic Hierarchy Process (AHP) to create two independent criteria structures, one for heritage valuation and another for analyzing the spatial compatibility with new uses, and then connecting them considering the relations between criteria of both structures and the relevance of the heritage aspects involved. All this to select those activities that cause minimal harm to the heritage value to be conserved. This work analyses three case studies to evaluate the performance of a tool based on an adaptation of AHP. The results are exposed and some application guidelines are provided, since doubts in the way to applying and interpreting the criteria are in practice a common problem of this type of approaches and that is rarely addressed. Thus, this work shows the potential of the proposed tool as a resource for sustainable urban development strategies.

Optimal Control of Transition Processes of Objects on Quick-Speed in a Multi-Criteria Environment

We analyze the known problems of optimal control of speed (OCS) and methods for their solution. It is shown that the use of the one criteria in these tasks (the speed criterion) does not sufficiently reflect real situations. The solution of the OCS problem in real situations leads to a deviation from the nominal or optimal values of a number of other indicators. Proceeding from this, a generalization of the OCS problem is considered taking into account other indicators as a criterion for optimal control. In this aspect, three generalized statements of the OCS problem are analyzed, where in the first formulation, the OCS task is expanded with additional constraints on other indicators; in the second setting, other indicators were used as criteria alongside with the performance criterion; and in the third formulation, the expansion of the formulation is considered with the introduction of restrictions also on the criteria themselves, formed from other measured indicators. In the article, the most general — the third multicriteria problem is considered as the subject of research and the necessary condition for optimality of its solution in the form of the maximum principle is obtained. A traditional and iterative scheme for solving the generalized by OCS problem is presented, based on the obtained necessary optimality condition, in contrast to the traditional criteria, which are also dependent on the degree of preference.

Strategic Development of Oil Shipments from Russia to Palestine

Recent decades have seen a significant expansion of world oil trade, which contributes to development of appropriate transport infrastructure, improvement and deepening of business ties in world energy markets and acceleration of their globalization. Russia plays an increasingly important role in export of oil and oil products, thereby seriously affecting physical volumes of foreign trade operations, prices, and the level of supply and demand. At the same time, interest in Russian oil is obviously taking into account the use of the existing or planned transport infrastructure. Despite the featured significant fluctuations in prices, which are caused by various factors of economic, geopolitical, and political nature, it is obvious that the general tendencies towards increase in oil prices remain against the background of the expected increase in demand for liquid fuel. This conclusion can be made on the basis of the costs of extracting energy resources, organizing the logistics component, of growing relevant political risks, according to competitive realities. In this regard, selection of an optimal transport route is of particular importance. The objective of the study is to test the algorithm developed by the authors for solving the multicriteria problem of choosing a rational route of fuel delivery within the framework of logistics chains from an oil refinery to a consumer. Testing is carried out at the example of development of hypothetical oil shipments from Russia to the State of Palestine. The use of the methods of economic analysis, multicriteria problem solving, expert assessments, representation of tasks in a multi-criteria setting using the developed deterministic method allows in each case to objectively find the best practical solution.The results of the analysis based on a sample of four options, have confirmed the possibility of using the proposed algorithm for solving the multicriteria problem to select the optimal route. The developed theory allows to objectively select the best proposal among possible variants; to improve the quality of the result obtained not only by the digital values of the accepted criteria, but also by taking into account the significance of different criteria among themselves by their influence on the process under consideration; to refine the intermediate data by using linear and nonlinear interpolation; to consider possible financial, time and other risks; to pose and solve problems taking into account hypothetical ways of transporting liquid fuel and compare the results with existing schemes.