arXiv subjects

Igor Lutsenko

Publications and source records attributed to Igor Lutsenko.

6 recordsLinked to original sources

arXiv2015

Identification of target system operations. 1. Determination of the time of the actual completion of the target operation

It was found in the paper that the time frames of the studied system operation depend on the research objective. In cases when it comes to problems, related to the physical movement of the input and output products, limits of the study are defined by the time of the beginning of the movement of the first input product of the operation and ends with the time of issue of the last output product of the operation by the system. Time of completion of the physical movement of products is defined in the paper as the time of the physical completion of the operation. Since the purpose of any operation is to increase the value of the output products in relation to the value of input products of the operation, in cases when there is a problem of investigating the target operation, the time of completion of the target operation is determined not by the physics of the process, but its cybernetics. Since for the time of the operation, conversion processes link input products in time, the added value of output products is intended to compensate in time the costs of temporary binding of input products that initially have their value. The time, when the added value of output products of the target operation compensates the value of tight input products for the time of the operation, is defined in the paper as the time of the actual completion of the target operation. A system of notations to describe the system processes of target operations was proposed. The expressions for the numerical and analytical determination of the time of actual completion of the target operation were obtained. A link to the resource, with examples of calculations of the time of the actual completion of the operation with the use of numerical methods and analytic expressions, obtained in the paper was given.

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arXiv2015

Deployed model of extremal system operation for solving optimal management problems

The reduced, simplified registration mathematical model of the system operation, obtained by scaling the registration signals of the basic model and determining the sum of the reduced, integrated flow rates by the input and output of the system under study was constructed. The studies of this traditional, for today model have shown the problem, associated with the existing approach in operations identification. As a result of using the agent model and system approach, it was found that registration model of the operation is not based on the data, actually describing the process under investigation. The new idea of the studied process has allowed to develop a method for constructing the reduced, deployed model of the operation. The deployed model of the operation allows to get access to data of operations at each point of the model of the operation process. The developed approach to constructing the mathematical model of the reduced deployed operation allows more accurate identification of the operation and its use to obtain new scientific results in the field of operations research.

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arXiv2015

Systems engineering of optimal control I. Synthesis of the structure of the technological product conversion system (part1)

Study of current controlled systems and scientific publications has shown that the architecture of controlled systems, related to the products conversion is based on the principle of austerity and, in general, does not provide the possibility of implementing a full parametric optimization. The paper proposes to develop a controlled conversion system from highly specialized systems, each of which performs only one function. The conversion system has the ability of independent conversion process rate control, and finished products are transferred to the buffering system, which provides release of finished products with specified consumer properties and in the required volume to the consumption system. Herewith, the maximum number of degrees of freedom, which is a prerequisite for the implementation of the full parametric optimization is ensured. The product conversion system structure was synthesized based on the liquid portion heating system is synthesized. The system is presented in the form of interconnected simple mechanisms. It is experimentally found that systems with continuous feed - release of raw product are a special case of fully controllable systems with the architecture that provides the optimal control possibility. The developed models were tested and examined in specially designed free software constructor EFFLI. Link to the current model of the controlled system is available in the text.

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arXiv2015

Identification of target system operations. 2. Determination of the value of the complex costs of the target operation

Currently, the increase in financial returns from economic operations is constrained in view of the lack of a single efficiency criterion, which allows uniquely identify the business operation by their main feature - the possibility of obtaining the maximum value added (profit). One of the main scientific steps on the way to obtaining the formula of efficiency is developing the "resource intensity" indicator. The development of this indicator was based on the model of the deployed operation and determination of the time of the actual completion of the target operation, which does not coincide with the traditional notion of the time of completion of economic operations. For processes with distributed parameters, an expression for determining the resource intensity using numerical methods was derived. For economic operations, which can be reduced to simple operations, an analytical expression of resource intensity was obtained. Using mathematical modeling methods it was revealed that in the case of a fixed value of expert (cost) estimate of output products of the operation, the minimum resource intensity of the operation indicates a maximum efficiency operation with respect to the target product of the operation. Development of the resource intensity of economic operations is the final step towards the development of cybernetic (interdisciplinary) efficiency indicator that allows to maximize the value added (profit) of economic operations.

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arXiv2015

Optimal control of systems engineering. Development of a general structure of the technological conversion subsystem (Part 2)

At present, technological subsystems are usually hard-coded to produce a consumer product with a certain performance, and efficiency, which is defined either by the factory settings, or determined by the technologist's view on the mode, suitable for this or that equipment. This is predetermined by a number of factors, however, features of the architecture of the technological line, which prevent the possibility to independently vary the feed of raw and energy products, as well as the lack of built-in capabilities to assess the absolute value added of the technological operation and effectiveness of the technological operation are determining ones. There are no such shortcomings in the technological subsystem with a batch feed of raw products, the architecture of which is developed in the framework of this publication. Independence of the performance change from external demand is ensured by the presence of the own buffering system of the finished product. Built-in capability to obtain data on economic parameters of the technological operation provides implementation of a full parametric optimization according to the resource efficiency criterion. The maximum number of degrees of freedom together with the ability to assess technological operations opens up the practical possibility of implementing new, previously unavailable in terms of effectiveness technologies in production.

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arXiv2015

Identification of target system operations. Development of global efficiency criterion of target operations

Guaranteed maximization of financial returns from economic structures is only possible if all of its systems are focused on selecting target operations with maximum efficiency. Is it possible? Any system is created to enhance the value of output products of the system operation. Thus, two products: a consumer product that has value to the customer and the target product (value added), rewarding manufacturer of consumer value are formed at the output of the managed system. If the management system has degrees of freedom, obtaining a consumer product with desired quality characteristics can be achieved with various management modes, each corresponding to their costs, results and operation time. All that is necessary is to be able to evaluate the efficiency of the operation based on its basic indicators, available for any operation. Efficiency formula, which can be used to assess any target operation, including with distributed parameters was obtained. In this case, it is necessary to use numerical methods. As applied to the model of the simple operation, efficiency formula is extremely simple. To use it, it is necessary to get only three parameters from the system under study: the cost estimate of input products of the operation, the cost estimate of output products of the operation and the operation time. Since these basic indicators are available in absolutely any system, they can all be oriented to achieve the global goao - the maximum resource efficiency.

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