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Journal articles on the topic 'Industrial management Australia Mathematical models'

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Published: 10 December 2022
Last updated: 29 January 2023

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1

Iwanowicz, Damian. "Assessment of selected methods of estimating the maximum back-of-queue size on a signal-controlled intersection approach." Journal of Civil Engineering and Transport 4, no. 2 (December 31, 2022): 49–63. http://dx.doi.org/10.24136/tren.2022.008.

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The article presents the characteristics and evaluation of the accuracy of estimating the maximum length of the queue of vehicles at signalized intersections by commonly used methods in the world. The analyzes were based on the latest editions of the guidelines in the United States, Canada, Australia, Germany and Poland. In order to carry out accuracy analyzes, traffic tests were carried out at 5 intersection inlets in three different cities in Poland (Bydgoszcz, Torun, Warsaw), covering all phases of vehicle queue formation during individual periods of the signaling cycle (effective red and green signal). In total, the analysis had the results of tests from 81 hours of observation ~23,000 behaviors of vehicle drivers. Based on the analyzes it was found in particular: (1) slight differences in the construction of mathematical models of the considered calculation methods, with the exception of the US HCM model from 2016; (2) small errors in estimating the maximum queue length in unsaturated vehicle flow states (~3-5 vehicles/cycle and ~2-6 vehicles/15 minutes interval); (3) quite large errors in estimating the maximum queue length in saturated and oversaturated vehicle flow states (~11-16 vehicles/cycle and ~15-18 vehicles/15 minutes interval); (4) the main impact on estimation errors in oversaturation traffic states is not taking into account or incorrect determination of the 'so-called' initial queue length of the period preceding the analyzed period.
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Pop, Viorel. "Mathematical Models Issues of Environmental Management." Studia Universitatis „Vasile Goldis” Arad – Economics Series 25, no. 1 (May 1, 2015): 60–73. http://dx.doi.org/10.1515/sues-2015-0005.

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Abstract Today the world is facing, more and more, different sources of pollution, the most affected areas being the proximity of big industrial centers (e.g.: chemistry, mining and metallurgy, machinery building etc.). Baia Mare industrial area is a typical one for such a situation. To maintain a clean and healthy environment in Baia Mare city and in the surrounding areas, important costs are needed. The usefulness of the mathematical models consists in the possibility of mathematical processing of industrial parameters evolutions, with relevant interpretations on various influences and their correction for achieving the set goals (maximizing financial efficiency, environmental protection with the compliance of legal requirements etc.)
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3

Stroev, S. P. "Mathematical models for insolvency risk management of an industrial enterprise." CONTINUUM. MATHS. INFORMATICS. EDUCATION, no. 2 (2021): 89–98. http://dx.doi.org/10.24888/2500-1957-2021-2-89-98.

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4

Eggersmann, M., L. von Wedel, and W. Marquardt. "Management and Reuse of Mathematical Models in the Industrial Design Process." Chemical Engineering & Technology 27, no. 1 (January 9, 2004): 13–22. http://dx.doi.org/10.1002/ceat.200406114.

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5

Aliyeva, Nailya Rauf kyzy. "Economic and Mathematical Modeling of the Innovation Process in the Agro-Industrial Sector." Economic Herald of the Donbas, no. 2 (64) (2021): 118–22. http://dx.doi.org/10.12958/1817-3772-2021-2(64)-118-122.

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Modern scientific research in the agro-industrial sphere is increasingly based on various mathematical calculations. In practice, it is economic and mathematical models that are of particular importance. These methods and approaches have gained particular value and distribution in the production environment, but in modern conditions of production and economic activity, more and more sectoral economic entities are faced with the application of mathematical models in order to improve the efficiency of investment resource management.
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Alieva, N. "Economic and Mathematical Modeling of the Innovation Process in the Agro-Industrial Sector." Economic Herald of the Donbas, no. 4 (66) (2021): 29–32. http://dx.doi.org/10.12958/1817-3772-2021-4(66)-29-32.

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Modern scientific research in the field of agriculture is increasingly based on various mathematical calculations. In practice, it is the economic and mathematical models that are of particular importance. These methods and approaches are particularly valuable and widespread in the production environment, but in the modern conditions of production and economic activity, more and more industrial economic entities are faced with the application of mathematical models in order to improve the efficiency of investment resource management.
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7

Topolsky, N. G., A. V. Mokshantsev, E. A. Meshalkin, A. I. Ovsyanik, V. V. Simakov, V. V. Kafidov, and Do Hoang Thanh. "Models and algorithms for automated search and rescue management support." Technology of technosphere safety 89 (2020): 53–64. http://dx.doi.org/10.25257/tts.2020.3.89.53-64.

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Introduction. The efficiency of search and rescue operations (PSR) due to the elimination of emergencies and fires indicates the need to create a structure for an automated control system (ACS) for technological decision-making processes at natural and industrial sites in Vietnam based on a software and hardware complex (PAC) for conducting the PSR in the Socialist Republic of Vietnam (SRV). The relevance of the research is due to the need to implement modern models and algorithms for automating the management support of the PSR and the development of automated control systems for technological processes of management decision-making at natural and industrial sites in Vietnam based on the PAC management system. Goals and objectives. The aim of the work is to reduce the response time of search and rescue units using models and algorithms to support the management of search and rescue operations using an automated control system for natural objects and industrial facilities in Vietnam based on a software and hardware complex. The practicality of the work is that the use of the recommended mathematical models, algorithms and the development of an automated system for the management of technological decision-making processes in natural and industrial sites in Vietnam, based on the software and hardware set for search and rescue operations reduce the time spent in the process. Methods. Systems analysis, statistical analysis, mathematical statistics, etc., are used to solve the problems of the study. Results and discussion thereof. The results are represented by the developed models and algorithms for supporting the management of the PSR using automated control systems at natural and industrial sites in Vietnam based on the PAC for the PSR. Conclusions. The functional structure of the automated control system for technological processes of management decision-making at natural and industrial sites in Vietnam based on a software and hardware complex for search and rescue operations, which allows you to visualize the location of victims in open areas in conditions of smoke, fog, rain. Key words: models, algorithms, automation, control support, search and rescue.
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8

Kalganova, N. V. "Mathematical models of optimal management of material support of educational and scientific activities of industrial universities." Herald of the Ural State University of Railway Transport, no. 4 (2020): 79–90. http://dx.doi.org/10.20291/2079-0392-2020-4-79-90.

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The paper considers mathematical differential models for managing the achievement of planned values of material support for educational and scientific activities of the university based on the analysis of this area of activity of transport universities. Models contain a mathematical description of the material and financial processes under study, which analytically show their dynamics for a certain period. The models are quite simple and can be used for planning and forecasting the financial support strategy of higher education institutions. In her research, the author relied on the work of Russian scientists, in particular, on [1-5]. This paper presents a mathematical description of the set of possible options for the system, predicting the consequences of the implemented options, and justifying the rational choice of management to achieve optimal educational and material support of the university. In this paper, we used methods for solving and investigating differential equations, as well as the MathCAD 15 software package for their numerical solution [6-8].
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9

Fechete, Flavia, and Anișor Nedelcu. "Modeling the Economic Performance of Industrial Systems Using Mathematical Programming." Applied Mechanics and Materials 809-810 (November 2015): 1553–58. http://dx.doi.org/10.4028/www.scientific.net/amm.809-810.1553.

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Mathematical programming models and especially their subclass - linear programming models - plays an extremely important role, both in theory and in economic practice. Linear programming, through its results, brought a considerable contribution to improving management methods in economics and it has boosted theoretical research in modeling complex economic systems, study and interpretation of laws and economic processes. Developing and designing a model for achieving the economic performance of the industrial system allows managers making optimal decision and ensures the improvement of their activity. This paper aim is to determine an optimal manufacturing program for an industrial system, so that, by its implementation, to achieve economic performance. The manufacturing program conducted using a computer software will allow this entity to optimize their management decision process by providing information related to physical production that must be executed on each of their the products, or about the unused or overloaded capacity, in order to maximize their profits.
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10

Cortés Pellicer, Pascual, and Faustino Alarcón Valero. "Identification of reverse logistics decision types from mathematical models." Journal of Industrial Engineering and Management 11, no. 2 (April 6, 2018): 239. http://dx.doi.org/10.3926/jiem.2530.

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Purpose: The increase in social awareness, politics and environmental regulation, the scarcity of raw materials and the desired “green” image, are some of the reasons that lead companies to decide for implement processes of Reverse Logistics (RL). At the time when incorporate new RL processes as key business processes, new and important decisions need to be made. Identification and knowledge of these decisions, including the information available and the implications for the company or supply chain, will be fundamental for decision-makers to achieve the best results. In the present work, the main types of RL decisions are identified.Design/methodology/approach: This paper is based on the analysis of mathematical models designed as tools to aid decision making in the field of RL. Once the types of interest work to be analyzed are defined, those studies that really deal about the object of study are searched and analyzed. The decision variables that are taken at work are identified and grouped according to the type of decision and, finally, are showed the main types of decisions used in mathematical models developed in the field of RL. Findings: The principal conclusion of the research is that the most commonly addressed decisions with mathematical models in the field of RL are those related to the network’s configuration, followed by tactical/operative decisions such as the selections of product’s treatments to realize and the policy of returns or prices, among other decisions.Originality/value: The identification of the main decisions types of the reverse logistics will allow the managers of these processes to know and understand them better, while offer an integrated vision of them, favoring the achievement of better results.
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11

Burkov, Vladimir, Oleg Loginovskiy, Oleg Dranko, and Alexander Hollay. "THE MECHANISMS OF SMART MANAGEMENT FOR INDUSTRIAL ENTERPRISES." Applied Mathematics and Control Sciences, no. 1 (March 27, 2020): 59–73. http://dx.doi.org/10.15593/2499-9873/2020.1.04.

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In this article you can find some mathematical models of the smart management mechanisms that can be used in the organizational system of management of production corporations. The following mechanisms can be used to improve the management effectiveness of this system: the resource-allocating mechanism (the mechanism of direct priorities, the reverse priorities, the competitive mechanism, the mechanism of open management); the mechanism of active expertise (the mechanism of averaging experts' opinions, mechanisms based on median schemes); the mechanism of domestic prices; cost-cutting pricing and taxation mechanisms; the supply chain optimization mechanism; the assortment selection mechanism; incentive mechanisms (incentives for individual results, collective results, and the brigade payment mechanism); integrated mechanisms.
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12

Razali, K., J. Amin, GJ Dore, MG Law, and HCV Projections Working Group. "Modelling and calibration of the hepatitis C epidemic in Australia." Statistical Methods in Medical Research 18, no. 3 (November 26, 2008): 253–70. http://dx.doi.org/10.1177/0962280208094689.

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Hepatitis C virus (HCV) infection in Australia is predominantly transmitted through injecting drug use. A reduction in the heroin supply in Australia in late 2000 and early 2001 may have impacted the number of injecting drug users (IDUs) and the number of new hepatitis C infections. This paper updates estimates of HCV incidence between 1960 and 2005 and models long-term sequelae from infection. Outcomes among those with HCV were also recently assessed in a linkage study assessing cancer and causes of death following HCV diagnosis in New South Wales. Linkage study outcomes have been used here to calibrate modelled outcomes. Mathematical models were used to estimate HCV incidence among IDUs, migrants to Australia from high HCV-prevalence countries, and other HCV exposure groups. Recent trends in numbers of IDUs were based on indicators of injecting drug use. A natural history of HCV model was applied to estimate the prevalence of HCV in the population. Model predicted endpoints that were calibrated against the NSW linkage data over the period 1995—2002 were: (i) incident hepatocellular carcinoma (HCC); (ii) opioid overdose deaths; (iii) liver-related deaths; and (iv) all-cause mortality. Modelled estimates and the linkage data show reasonably good calibration for HCC cases and all-cause mortality. The estimated HCC incidence was increased from 70 cases in 1995 to 100 cases in 2002. All-cause mortality estimated at 1000 in 1995 increased to 1600 in 2002. Comparison of annual opioid deaths shows some agreement. However, the models underestimate the rate of increase observed between 1995 and 1999 and do not entirely capture the rapid decrease in overdose deaths from 2000 onwards. The linkage data showed a peak of overdose deaths at 430 in 1999 compared to 320 estimated by the models. Comparison of observed liver deaths with the modelled numbers showed poor agreement. A good agreement would require an increase in liver deaths from the assumed 2 to 5% per annum following cirrhosis in the models. Mathematical models suggest that HCV incidence decreased from a peak of 14,000 infections in 1999 to 9700 infections in 2005, largely attributable to a reduction in injecting drug use. The poor agreement between projected and linked liver deaths could reflect differing coding of causes of deaths, underestimates of the numbers of people with cirrhosis following HCV, or underestimates of rates of liver death following cirrhosis. The reasonably good agreement between most of the modelled estimates with observed linkage data provides some support for the assumptions used in the models.
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13

Orazbayev, B., I. Issa, S. Iskakova, and L. Kurmangaziyeva. "Application of mathematical modelling methods in oil production management." Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, no. 4 (August 30, 2022): 112–16. http://dx.doi.org/10.33271/nvngu/2022-4/112.

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Purpose. To assess the effectiveness of the practical application of mathematical modelling methods of the operation principles of oil production management systems in a fuzzy environment and the main aspects of their application in oil production. Methodology. The basis of the methodological approach in this study is a combination of methods of quantitative and qualitative analysis of the basic principles of the development of mathematical models for managing oil production processes in a fuzzy environment. Findings. The authors investigated the available methods of mathematical modeling in order to select the optimal possibilities for creating mathematical models. A qualitative assessment of the effectiveness of the practical application of methods of mathematical modeling of the principles of operation of oil production management systems in a fuzzy environment was formulated. The main aspects of application of methods of mathematical modeling directly in the process of oil production were established. Originality. A fuzzy approach is proposed for solving the problem of multi-criteria optimization in the development of a field and oil production, in which the task is set and solved in a fuzzy environment without previously converting them to equivalent clear tasks. This ensures the correctness and efficiency of the solution by increasing the adequacy of the description of the problem in a fuzzy environment. Practical value. The results obtained and the conclusions formulated on their basis are of considerable practical importance for employees of research institutes of the oil industry responsible for the development of effective methods of mathematical modelling of oil production process control systems and for employees of oil companies whose professional duties include the introduction of the mentioned mathematical models in oil fields.
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14

Shi, Jonathan Jingsheng. "Mathematical Models for Maximizing Aggregate Plant Production." Journal of Construction Engineering and Management 125, no. 1 (January 1999): 53–60. http://dx.doi.org/10.1061/(asce)0733-9364(1999)125:1(53).

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15

Mehta, U., R. Prasad, and K. Kothari. "VARIOUS ANALYTICAL MODELS FOR SUPERCAPACITORS: A MATHEMATICAL STUDY." Resource-Efficient Technologies, no. 1 (May 9, 2020): 1–15. http://dx.doi.org/10.18799/24056537/2020/1/218.

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Supercapacitors (SCs) are used extensively in high-power potential energy applications like renewable energy systems, electric vehicles, power electronics, and many other industrial applications. This is due to SCs containing high-power density and the ability to respond spontaneously with fast charging and discharging demands. Advancements in material and fabrication techniques have induced a scope for research to improve the application of SCs. Many researchers have studied various SC properties and their effects on energy storage and management performance. In this paper, various fractional calculus-based SC models are summarized, with emphasis on analytical studies from derived classical SC models. Study prevails such parameterized resistor–capacitor networks have simplified the representation of electrical behavior of SCs to deal with the complicated internal structure. Fractional calculus has been used to develop SC models with the aim of understanding their complicated structure. Finally, the properties of different SC models utilized by various researchers to understand the behavior of SCs are listed using an equivalent circuit.
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Kostyuchenko, Mikhail, Volodymyr Gogo, Boris Kobilyansky, Oleg Kruzhilko, Ihor Yefremov, Kyrylo Hriadushchyi, and Oleksandr Tkachuk. "ANALYSIS OF PRODUCTION RISK ON EXAMPLES OF MINERS ‘LABOR." JOURNAL of Donetsk Mining Institute, no. 2 (2021): 159–75. http://dx.doi.org/10.31474/1999-981x-2021-2-159-175.

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Objective: Based on the review of the array of publications to analyze the methods and models of general risk assessment, the nature of industrial risks and management processes on the examples of labor of coal miners. Propose a classification of mathematical models of industrial risk and identify the most appropriate model for the work of miners in the stochastic system “man-machine-environment”. Methodology: Applied to the use of situational analysis, qualimetry, probability theory and risk theory, methods of classification of occupational risks. Results: Based on a systematic analysis of multifactorial risks of emergency situations, the essence of industrial risks and management processes on the examples of coal miners, the dominant causes of industrial risk in the ergatic system (“man – machine – environment”), models and methods of risk research. Scientific novelty: For the first time on the basis of the analysis of the reasons, dynamics and consequences of industrial risks the classification of mathematical models of risks which are adapted to ergatic systems of mine production is offered. Practical value: The need for adequate practical application of risk methods and models for the assessment and measurement of industrial hazards has been proven.
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Makarovskikh, T. A., A. V. Panyukov, and E. A. Savitskiy. "Mathematical models and routing algorithms for economical cutting tool paths." International Journal of Production Research 56, no. 3 (November 17, 2017): 1171–88. http://dx.doi.org/10.1080/00207543.2017.1401746.

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Bolat, Ahmet. "A mathematical model for selecting mixed models with due dates." International Journal of Production Research 41, no. 5 (January 2003): 897–918. http://dx.doi.org/10.1080/00207540210163892.

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Polozhaenko, Serhii, Fedir Garaschenko, and Ludmila Prokofieva. "Mathematical Models of Technological Processes of Oil Refining and Their Qualitative Analysis Based on the General Concept Of Models." Mathematical and computer modelling. Series: Technical sciences 23 (December 6, 2022): 107–15. http://dx.doi.org/10.32626/2308-5916.2022-23.107-115.

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Theorems of existence and uniqueness of the decision of system of the equations in the private derivatives, representing the generalized mathematical model of processes and devices of preprocessing of crude hydrocarbons are formulated and proved. Generalization gives the chance to apply the principle of unification and typification when de-veloping a method of numerical realization of mathematical models of a class of processes (devices) of preprocessing of crude hydrocarbons, and the proof of the corresponding theorems (an essence —the qua-litative analysis) provides a correctness of application of the generalized model in applied problems of mathematical modeling of studied pro-cesses (devices). Proofs of the formulated theorems are strict, logically true and are consistently executed within terms of the functional ana-lysis. Practical applicability of theorems of existence and uniqueness of the decision as component of the qualitative analysis, is defined by pos-sibility of research on their basis of adequacy of algorithmic means of mathematical modeling of a studied class of processes (devices).
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20

ZAMBRZHITSKAYA, Evgeniya S. "Development and application of optimization models in the production capacity management strategy." Economic Analysis: Theory and Practice 20, no. 7 (July 29, 2021): 1368–90. http://dx.doi.org/10.24891/ea.20.7.1368.

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Subject. The article addresses elaboration of methods for strategic management of production capacities to bring them to practical use at the level of individual industrial enterprises. Objectives. The purpose of the study is to develop optimization models to manage production capacities of industrial enterprises at the strategic level. The models are focused on bringing enterprise structure to the optimal condition in terms of output of products that are in demand in the market. Methods. The study employs methods of analysis and synthesis, principles of consistency and complexity, theory of graphs, matrix calculus. Results. To develop existing approaches to the strategic management of production capacities, I offer a multicriteria optimization model, structurally consisting of several mathematical programming problems. Conclusions. If used, the optimization models for the development of a production capacity management strategy will enable modern Russian enterprises to significantly increase their competitiveness and operational efficiency, since the level of production capacity affects the positioning of an enterprise in the market, its cost structure, etc.
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SINRIECH, D., and J. M. A. TANCHOCO. "Solution methods for the mathematical models of single-loop AGV systems." International Journal of Production Research 31, no. 3 (March 1993): 705–25. http://dx.doi.org/10.1080/00207549308956752.

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Korennaya, K. A., A. V. Hollay, and O. V. Loginovsky. "FUNDAMENTALS OF EFFECTIVE MANAGEMENT OF INDUSTRIAL ENTERPRISES IN MODERN CONDITIONS." Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics 21, no. 3 (August 2021): 161–70. http://dx.doi.org/10.14529/ctcr210316.

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Today, the problem of increasing the efficiency of large Russian industrial enterprises is one of the most important national economic problems of the domestic economy. Purpose of the study. In this regard, the purpose of the study of this work is to improve the processes of prepa¬ring and mak-ing managerial decisions on the strategic and operational management of industrial enterprises of our country in the current conditions of global instability and increasing international competition. Materials and methods. The scientific provisions presented in the article are an integral set of measures that ensure the implementation of both strategic and operational management algorithms for industrial enterprises. At the same time, the methods of mathematical modeling and financial and economic analytics were used. Results. The results of the study are: a well-founded set of scien-tific provisions on the strategic management of industrial enterprises, as well as a predictive and adaptive approach to the operational management of production companies in the conditions of both stable development of the world economy and international financial and economic crises. On the basis of the developed sets of scientific provisions, sets of mathematical models for the stra-tegic management of industrial enterprises and their operational management are formed. Conclu-sion. The scientific provisions and materials presented in this article enable the heads of industrial enterprises to form holistic and comprehensively justified strategies for their long-term development, as well as algorithms for operational management of industrial divisions of enterprises during peri-ods of global instability.
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Colina, Eliezer, Mario Peña, Villie Morocho, and Lorena Siguenza-Guzman. "Mathematical modeling to standardize times in assembly processes: Application to four case studies." Journal of Industrial Engineering and Management 14, no. 2 (March 5, 2021): 294. http://dx.doi.org/10.3926/jiem.3192.

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Purpose: This paper proposes model-based standard times estimates, using multiple linear regression, nonlinear optimization, and fuzzy systems in four real cases assembly lines. The work includes a description of the models and a comparison of their performance with values obtained using the conventional chronometer method. These models allow estimating standard times without reconducting field studies.Design/methodology/approach: For the development of the time study, the methodology applied by the International Labour Organization (ILO) was used as a baseline. This methodology is structured in three phases: selection of the case study, registration of the process by direct observation, and calculation/estimation of the standard time. The selected case studies belong to real assembly lines of motorcycles, television sets, printed circuit boards, and bicycles.Findings: In the motorcycle’s assembly case, the study allowed constructing seven linear regression models to estimate standard times for assembling the front parts, and seven linear regression models to predict standard times for the rear parts of the different motorcycle types. Compared to the classical chronometer method, the results obtained never exceeded 10%. Regarding the case studies of assembling TV sets and PCBs, the study considered the construction of nonlinear optimization models that allow making appropriate predictions of the standard times in their assembly lines. Finally, for the bicycle assembly line, a fuzzy logic model to represent the standard time was constructed and validated.Research limitations/implications: For reasons of confidentiality of information, this work omitted the names of companies, services, and models of manufactured products.Originality/value: The literature consulted does not refer to the representation of standard time on assembly lines using mathematical models. The construction of these models with empirical data from actual assembly lines was a valuable aid to the companies involved in supporting activity planning.
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Savenkova, N. P., V. S. Laponin, A. Yu Mokin, L. A. Artemieva, and A. A. Dryazhenkov. "A New Approach to Mathematical Simulation of Sheduling at an Industrial Plant." Herald of the Bauman Moscow State Technical University. Series Instrument Engineering, no. 2 (135) (June 2021): 103–14. http://dx.doi.org/10.18698/0236-3933-2021-2-103-114.

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The purpose of this work was to build a model of industrial plant management and develop a schedule plan based on it. The paper considers a controlled model of product flows at an industrial enterprise. The model describes the interaction between various objects at the enterprise: production plants, manifolds, overpasses, piers, transport. In addition, the model specifies the composition and proportions of the components of raw materials and additives for each type of manufactured product, as well as physical constraints on the objects involvedin the production process. This brings us to the model of both the quality functional and equality and inequality constraints in the mathematical formulation. After building the model, the original control problem was reduced to two problems: direct and inverse. The numerical solution of both is provided in a close relationship between them. The study uses the findings from the theory of mathematical modeling, linear algebra and optimization theory, and leads to the development of the technique of building models of scheduling at an enterprise and numerical methods for solving the corresponding management problems. The research results are of great practical importance and can be used for effective management of the production process in many industries
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Lizarralde, I., F. Claeys, R. Ordóñez, M. de Gracia, L. Sancho, and P. Grau. "Water network cost optimization in a paper mill based on a new library of mathematical models." Water Science and Technology 65, no. 11 (June 1, 2012): 1929–38. http://dx.doi.org/10.2166/wst.2012.083.

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The increasing costs associated with water supply and the disposal of wastewater has stimulated industries to seek more efficient water management systems. Mathematical modelling and simulation can be a very valuable tool for the study of the multiple alternatives available whilst assessing optimum solutions for water management in industry. This study introduces a new steady state model library able to reproduce industrial water circuits. It has been implemented in a novel software framework for the representation, simulation and optimization of industrial water networks. A water circuit representing a paper mill has been modelled and simulated showing the capability to reproduce real case studies. Alternative scenarios for the water network have also been tested to assess the capability of the models to optimize water circuits minimizing total cost.
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26

Marchington, Mick. "Surveying the Practice of Joint Consultation in Australia." Journal of Industrial Relations 34, no. 4 (December 1992): 530–49. http://dx.doi.org/10.1177/002218569203400402.

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In the last few years, a number of articles have pointed to the groiving relevance of joint consultation within Australian workplaces, a view which is stipported by the data from the 1990 Australian Workplace Industrial Relations Survey. The purpose of this paper is to extend the brief analysis contained in Industrial Relations at Work, and analyze the role played by joint consultative committees across employing organizations as a whole. In particular, evidence is examined relating to the growth/ decline of consultation, its links with other mechanisms for developing employee involvement, the rationale for its implementation at work, the shape and character of joint consultative committees, as well as the participants' attitudes towards these schemes. There appears to have been an increase in consultation recently, and—contrary to some observers—the committees themselves seem to be well received by those who are involved in them. The analysis also suggests that at least two rather different models of consultation appear to be operating in Australia, largely dependent upon the degree and strength of unionization at the workplace. It is argued that the links between consultation and collective bargaining should be more closely examined if there is a further move towards devolved negotiations in Australia.
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Dixon, Peter B. "The Australia—China Free Trade Agreement: Some Modelling Issues." Journal of Industrial Relations 49, no. 5 (November 2007): 631–45. http://dx.doi.org/10.1177/0022185607082212.

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General equilibrium modelling has been used to analyse many policy proposals. This article aims to help non-modellers assess general equilibrium analyses, particularly of a potential Australia—China free trade agreement (FTA). General equilibrium modelling is effective in studies of unilateral tariff reductions. However, most general equilibrium modelling assumes given technologies and information. For issues where the essence is technology transfer and new information, general equilibrium models can only produce results after most of the analysis has been done outside the model. In an Australia—China FTA, tariff cuts may be only a small part of the package. The main part may be goodwill, technology transfer and increased mutual awareness. Thus, for analysing FTAs, general equilibrium modelling is of limited value. The only conclusion for Australia that general equilibrium modelling of an Australia—China FTA can deliver with any certainty is that such an agreement will cause significant contraction in the Australian clothing industry.
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Jiang, Ling. "Linear Programming Application in Construction Enterprises." Applied Mechanics and Materials 328 (June 2013): 244–47. http://dx.doi.org/10.4028/www.scientific.net/amm.328.244.

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Constructional engineering is becoming the key industry in the national economy. But, construction enterprises are lagging far behind those industrial enterprises with refined management and computer integrated manufacturing system. Operations research is mainly concerned with management problems and involves the construction of mathematical models and the application of mathematical tools and modern computer technology. In this paper, the optimal plan of steel cutting is studied based on of linear programming, and a calculation example is given to illustrate the solution with the help of MATLAB software.
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Logue, Danielle M., Walter P. Jarvis, Stewart Clegg, and Antoine Hermens. "Translating models of organization: Can theMittelstandmove from Bavaria to Geelong?" Journal of Management & Organization 21, no. 1 (January 2015): 17–36. http://dx.doi.org/10.1017/jmo.2014.66.

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AbstractIn this paper, we examine the increasing global attention being given to the German organizational form of theMittelstandover the past decade. We do so, especially, in consideration of the construction of Australian analogues to theMittelstand. Such translations have been posited as a solution to the current crisis facing Australian manufacturing. Translation out of context always poses problems: can a specifically national form of organization, such as the GermanMittelstand, be something that can, potentially, be translated to other nations and industrial contexts? The Australian case offers an empirical setting in which to explore understandings of transnational translation of management innovations. Our findings demonstrate how globally theorized models subject to translation align abstract value orientations with local templates. Our discussion focuses on the translation of a Bavarian model of organization into very different locations, such as Geelong, Australia.
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Benjamin, Earl, Aron Reznik, Ellis Benjamin, Saroj K. Pramanik, Louise Sowers, and Arthur L. Williams. "Mathematical models for Enterococcus faecalis recovery after microwave water disinfection." Journal of Water and Health 7, no. 4 (July 1, 2009): 699–706. http://dx.doi.org/10.2166/wh.2009.132.

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Microwave water disinfection is a rapid purification technique which can give billions of people access to clean drinking water. However, better understanding of bacterial recovery after microwave heating over time is necessary to determine parameters such as delayed bacterial growth rates and maximum bacterial yields. Mathematical models for Enterococcus faecalis recovery after microwave treatment in optimum growth conditions were developed for times up to 5 minutes using an optical absorbance method. Microwave times below 3 minutes (2,450 MHz, 130 W) showed that bacterial recovery maintained a time-dependent sigmoidal form which included a maximum value. At microwave times greater than three minutes, bacterial recovery, with a time-dependent exponential form, significantly decreased and did not reach the maximum value within the interval of observance (0–8 hours). No bacterial growth was found after 6 minutes of microwave treatment. The prepared mathematical models were produced by transforming the given variables to the logistic or exponential functions. We found that time-dependent maximum growth rates and lag times could be approximated with second order polynomial functions. The determined models can be used as a template to illustrate bacterial survival during water purification using microwave irradiation, in both commercial and industrial processes.
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31

Datsii, O., N. Datsii, O. Zborovska, L. Ivashova, M. Cherkashyna, and K. Ingram. "Financing of environmental programs for industrial waste management in times of crisis." Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, no. 1 (2021): 130–36. http://dx.doi.org/10.33271/nvngu/2021-1/130.

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Purpose. To conduct an analysis of funding from state and regional budgets for environmental needs in general and itemized as waste management, to identify correlations of data and to build on their basis a mathematical apparatus for forecasting the financing of environmental needs in the event of a budget crisis. Methodology. The results of the study were obtained using general and special methods of cognition. Methods of comparative analysis, content analysis and logical generalization were used to analyze the financing of environmental needs in general as well as waste management, in particular. Methods of quantitative and qualitative comparison were used to detect data correlation and isolation from random effects on the resulting function of non-random components. Methods of scientific abstraction and mathematical formalization were used to form a mathematical apparatus for forecasting the financing of environmental needs in the event of a budget crisis. Findings. It is proposed to introduce a strategic systems approach to address pressing issues of environmental protection and industrial waste management in the face of a shortage of financial resources both at the state level and at the regional level. The mathematical apparatus has been formed for this purpose. The increasing relevance of the forecast was achieved by introducing an original methodology. Trends and features of budget financing of ecological programs at the state and regional levels are revealed. With a chronic lack of financial resources, there is a tendency of a steady increase in current costs of waste management. Peculiarities of financing ecological needs from regional budgets are studied. It is stated that regional budgets are affected not only by the risks inherent in national funding, but also by their own sets of risks. Originality. The presence of correlated components in white noise of ARMA-models increased the relevance of forecasts of financing environmental programs in the crisis. The practical reliability of the correlation between some components of white noise and the integrated indicator of the level of economic security is established. It was found that the financing of environmental programs from regional budgets is characterized by more uneven changes than in the case of state funding. Practical value. Forecasts for the volume of industrial waste for disposal in specially designated places and the volume of capital investment and current costs of waste management have been developed. The possibilities of the mathematical model for the formation of forecasts of future periods are tested. Forecasts for the following years and approximations of previous periods are presented in a convenient analytical form to be used by specialists. Forecasting budget revenues for environmental needs allows planning a phased solution to environmental problems and attracting the necessary external financial resources, increases the ability of public control of financial flows and access to the planned indicators of each of the environmental investment objects. In a broader sense, it provides a tool for shaping the sphere of environmental protection as a single system.
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Liu, Xiao Li, Hua Tan, Shi Chao Cao, and Tao Xing. "Establishment of Evaluation Indication System on Embedded Industrial Technology Innovation." Applied Mechanics and Materials 513-517 (February 2014): 3556–59. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.3556.

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Embedded industry as a branch of the new rise of IT industry, changing people's lives. For how to create embedded technology innovation models and innovation system, embedded technology innovation brings a variety of management issues, this paper studies the embedded industrial innovation index system. First, hierarchical analysis model represents the index system 6 first level indicators and 24 secondary indicators constituted; Then, the basic idea of G1 method is based on constructing a mathematical model to calculate the weights according to solving steps; Finally, according to the mathematical model to 6 secondary indicators "research and development" first level indicators under an example to illustrate the calculation process, and lists all the index weight calculation results through form. Results of this study will help countries understand the current level of development; provide the basis for the formulation of industrial development policies.
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33

Hall, Richard, and Russell D. Lansbury. "Skills in Australia: Towards Workforce Development and Sustainable Skill Ecosystems." Journal of Industrial Relations 48, no. 5 (November 2006): 575–92. http://dx.doi.org/10.1177/0022185606070106.

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This article argues that there is a need to move beyond narrow ways of thinking about training to incorporate broader notions of ‘workforce development’ and ‘skill ecosystems’. A market-based approach to skills development is contrasted with a social consensus model, which takes a more integrated view of how skills are formed and sustained. However, following a review of Australia’s brief and ultimately unsuccessful attempt to develop something akin to a social consensus approach, we argue that there is much to be gained from a workforce development approach and an understanding of skill formation as occurring in the context of skill ecosystems. To be most effective this approach to skill formation requires the facilitation of networks and nurturing of partnerships among the different agents and agencies concerned with skill development. Recent initiatives in Australia that explicitly adopt a skill ecosystem and workforce development orientation demonstrate the potential of these approaches to overcome many of the problems associated with currently dominant market-based approaches and avoid the pitfalls of social consensus models.
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Imam, Tasadduq, Abdullahi Ahmed, and Kevin Tickle. "Relating firm performance to corporate governance characteristics: A research perspective on the publicly listed information technology companies in Australia." Corporate Ownership and Control 9, no. 2 (2012): 106–22. http://dx.doi.org/10.22495/cocv9i2art9.

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The objective of this research is to relate company performance (in terms of different measures) to corporate governance characteristics (like board size, internal or external majority governance) for the publicly listed information technology (IT) companies in Australia. A sample of 55 such companies are considered. Results reveal that, contrary to the popular belief in respect to positive influence of external board members, performance of the IT companies tend to worse with higher degree of board independence. We attribute the characteristics of these outcomes to the dynamic properties of the IT industrial sector in Australia. Linear regression models relating the performance measures to board characteristics along with other financial information have also been developed. The number of senior management members has been identified as the key board characteristic factor in these models, implying the importance of major internal control over highly independent board for the publicly listed Australian IT companies.
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Lim, Benson T. H., Florence Y. Y. Ling, C. William Ibbs, Benny Raphael, and George Ofori. "Mathematical Models for Predicting Organizational Flexibility of Construction Firms in Singapore." Journal of Construction Engineering and Management 138, no. 3 (March 2012): 361–75. http://dx.doi.org/10.1061/(asce)co.1943-7862.0000439.

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36

Zolotukhin, Yu A., N. A. Berkutov, V. V. Kuprygin, and S. N. Kupriyanova. "Forecasting of industrial coke quality at JSC EVRAZ NTMK based on data of passive industrial experiment. Report 1. Forecasting of CSR and CRI of industrial coke." Ferrous Metallurgy. Bulletin of Scientific , Technical and Economic Information 77, no. 11 (November 12, 2021): 1124–35. http://dx.doi.org/10.32339/0135-5910-2021-11-1124-1135.

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A forecast of coke quality takes a special place in the coke production, since it enables to increase efficiency of management of batching process of various by composition and properties coals and production of coke of stably high and required quality with minimal costs. Description of a methodological approach to processing of passive industrial experiment data of blends coking at Coke production department of JSC EVRAZ NTMK presented by application selective (general) matrix. The matrix accounts various multilevel values of influence factor CSR and CRI of coke - a complex index of coking ability of blends K.п.к.Vo. It was shown that the proposed approach provides wide variations of response function (CSR/CRI) at symmetrical enough matrix, excluding predominance of any particular area of values of indices K.п.к.Vo and CSR/CRI. By applying the passive industrial experiment, based on processing of actual report data of industrial blends coking at the coke batteries No. 5-6 (wet quenching) and No. 9-10 (dry quenching) by selective matrix, mathematical models of forecast of quality of industrial coke by wet and dry quenching (CSR/CRI) were elaborated depending on coal charges properties (K.п.к.Vo) at the existing modes of their preparation and coking at the coke batteries No. 5-6 and 9-10. Verification of accuracy of the mathematical models of coke quality forecast at wet and dry quenching (CSR/CRI) processing a large actual material of industrial coking (62 coking operations in the coke batteries No. 5-6 and 58 coking operations in the coke batteries No. 9-10 showed accuracy good enough for practical application of forecasting indices CSR and CRI of industrial coke of wet and dry quenching.
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37

Esteso, Ana, M. M. E. Alemany, and Angel Ortiz. "Conceptual framework for designing agri-food supply chains under uncertainty by mathematical programming models." International Journal of Production Research 56, no. 13 (March 14, 2018): 4418–46. http://dx.doi.org/10.1080/00207543.2018.1447706.

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38

Ramya, Ravi, Chandrasekharan Rajendran, and Hans Ziegler. "Capacitated lot-sizing problem with production carry-over and set-up splitting: mathematical models." International Journal of Production Research 54, no. 8 (August 24, 2015): 2332–44. http://dx.doi.org/10.1080/00207543.2015.1076942.

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39

Marasovic, Paula, and Zeljko Penava. "Modelling the Stress-Strain Curve of Plane-Weave Fabric with Mathematical Models." Textile & Leather Review 5 (August 10, 2022): 374–91. http://dx.doi.org/10.31881/tlr.2022.33.

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To avoid fabric deformations due to plastic deformations, it is vital to predict how the fabric will behave under load in advance. This was the starting idea for the conducted research. The basic physical and mechanical properties of plain-weave fabric samples with the same density of warp and weft and in various angles were investigated in this paper. A comparison of the experimental and computational modulus of elasticity was performed. Based on the experimental results, a mathematical model and the corresponding mathematical equations of the stress-strain curve for the examined fabric samples were set up. Finally, a statistical analysis of the models and an evaluation of the parameters and representative indicators of the mathematical models have been implemented. The experimental values of the stress-strain curves are well described by all three of the chosen models. Still, mathematical model number three M3 is best suited and can be used with great accuracy in the theoretical calculation of breaking force and elongation for the selected type of fabric.
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40

Voynarenko, Mykhaylo, Viktoriya Hurochkina, Viacheslav Dzhedzhula, Iryna Yepifanova, and Olena Menchynska. "Applying Fuzzy Logic to Modeling Economic Emergence." WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS 18 (February 2, 2021): 424–33. http://dx.doi.org/10.37394/23207.2021.18.43.

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Modeling of financial, socioeconomic and integration indicators of fishing enterprises in conditions of uncertainty and constant transformation requires the development of an economic and mathematical model for studying the emergent state, which would be based on a set of main factors of influence of qualitative and quantitative characteristics of the dynamics of functioning. To create an expert modeling system for multi factorial analysis of the processes of functioning and management decisions of industrial enterprises, a mathematical apparatus based on the theory of fuzzy logic and a linguistic variable was used. This economic and mathematical method is a computer of mathematical algorithms, models and formalized methods and is based on the stagnation of expert linguistic information for predicting indicators of development or decline in order to form the basic mechanism for detecting latent properties of an emergent state. To develop an economic and mathematical model expert assessments and the results of analytical and experimental scientific studies of a qualitative and quantitative nature are used. Fuzzy logic modeling allows you to combine quantitative and qualitative factors and allows you to identify latent signals of emergent properties and determine the level of emergent state of industrial enterprises
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41

Lau, Henry. "Monitoring Quality of Components by Fuzzy Control Principle." International Journal of Reliability, Quality and Safety Engineering 05, no. 02 (June 1998): 133–45. http://dx.doi.org/10.1142/s0218539398000145.

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A fuzzy expert system uses fuzzy logic control,1 which is based on a "superset" of Boolean logic that has been extended to handle the concept of "partial truth." It replaces mathematical models with models that are built from a number of rules with fuzzy variables such as output temperature, and fuzzy terms such as extremely hot, fairly cold. A fuzzy expert system has been implemented in a plastic moulding shop in Australia for monitoring dimensional quality of output products. Because these plastic parts are used as assembly components for production of gear boxes, their dimensional accuracy is of utmost importance. This paper presents the implementation of this monitoring system adopting a graphical and non-mathematical approach, and examines the application of fuzzy control systems in quality control. Practical examples with descriptions of how the fuzzy rules are shown and the operations of the fuzzy inference engine are covered.
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42

Biloshchytskyi, Andrii, Svitlana Tsiutsiura, Alexander Kuchansky, Oleg Serbin, Mykola Tsiutsiura, Svitlana Biloshchytska, and Adil Faizullin. "Development of mathematical models of the project-vector space of educational environments." Eastern-European Journal of Enterprise Technologies 5, no. 4(119) (October 30, 2022): 50–61. http://dx.doi.org/10.15587/1729-4061.2022.266262.

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Based on the analysis of scientific developments in the application of project management methodology for educational environment management, the application of the vector paradigm to the construction of project management methodology in academic environments is substantiated. The methodological concept of project management in the educational environment is proposed, and the conceptual basis of the methodology of project-vector management of educational environments is created. The theoretical foundations of project-vector management of educational environments are developed. A mathematical model for managing projects in educational environments has been developed, the originality of which is ensured by representing the entities of projects, products, tools and subjects of educational environments as the objects of project-vector space, moving from the starting point (project origination) to its completion. The notion of the potential movement of objects in the project-vector space (PVS) is introduced and used in the mathematical model. The definition of unforced resistance of PVS is given, the source of which is the regularity in the influence of a significant number of objects and subjects of the project-vector space on each other, which is present in most projects of educational environments and hinders their implementation. The proposed methodology creates a modern scientific and methodological basis for the construction of project management systems in educational organizations. The practical implementation of the results of the research creates a basis for improving the efficiency and quality of educational organizations due to a well-defined organization of management procedures.
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43

Singh, Ajay. "Environmental problems of salinization and poor drainage in irrigated areas: Management through the mathematical models." Journal of Cleaner Production 206 (January 2019): 572–79. http://dx.doi.org/10.1016/j.jclepro.2018.09.211.

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44

Martínez-Costa, Carme, Marta Mas-Machuca, Ernest Benedito, and Albert Corominas. "A review of mathematical programming models for strategic capacity planning in manufacturing." International Journal of Production Economics 153 (July 2014): 66–85. http://dx.doi.org/10.1016/j.ijpe.2014.03.011.

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45

Batkovskiy, M., P. Kravchuk, and V. Sudakov. "Diversification Management Information System Integrated Structures of the Military-Industrial Complex." Bulletin of Science and Practice 6, no. 1 (January 15, 2020): 237–47. http://dx.doi.org/10.33619/2414-2948/50/26.

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The development of diversification of integrated structures of the military–industrial complex, as well as the need for their modernization in order to accelerate innovative development, necessitate the improvement of their management efficiency. The most important direction for solving this problem is the creation of information systems for managing diversification activities. The relevance of the study, the results of which are presented in the article, is determined by the urgent need to improve the theory and tools of managing information support in modern conditions. Previous studies by various scientists of the process under consideration were focused on the economic conditions for the development of integrated structures, which are fundamentally different from modern ones. The article presents the methodological foundations of the development of rational solutions governing the information support of the diversification of integrated structures based on optimization models for the management tasks that are being solved. The results of the study allow us to develop certain aspects of the theory of strategic management, the theory of financial management, the theory of economic and mathematical modeling. Their practical application provides an increase in the quality of management of the diversification process of integrated structures and an increase in the efficiency of their activities.
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46

Vinogradova, Ekaterina, and Anna Galimova. "Management of changes in companies of the agro-industrial complex: implementation of high technologies." E3S Web of Conferences 262 (2021): 01040. http://dx.doi.org/10.1051/e3sconf/202126201040.

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Digitalization is the most powerful tool for increasing the efficiency of agricultural enterprises. A computerized microclimate control system, the use of chip tags for animals and scanners to read information from these tags and enter data into the system, the use of flow meters, equipping machines with GPS sensors, the implementation of precision farming, space survey can improve the quality of production and monitoring, as well as neutralize the negative influence of the external environment on production efficiency. The ability to digitize agro-technological processes based on the creation of expert systems carrying out multiple factor analysis based on complex mathematical models. Monitoring and accounting of certain factors influence is performed on these platforms based on machine learning and a neural network. The introduction of high technologies should be carried out in close connection with the business processes reengineering, management of ongoing changes to achieve the maximum effect from the high technologies implementation.
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47

Kruzhilko, O., N. Volodchenkova, V. Maystrenko, B. Bolibrukh, V. Kalinchyk, A. Zakora, A. Feshchenko, and S. Yeremenko. "Mathematical modelling of professional risk at Ukrainian metallurgical industry enterprises." Journal of Achievements in Materials and Manufacturing Engineering 1, no. 108 (September 1, 2021): 35–41. http://dx.doi.org/10.5604/01.3001.0015.4797.

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Purpose: To develop a more advanced methodology, the application of which will provide an informational and computational and analytical basis for planning and implementing effective preventive measures aimed at minimizing occupational risks with limited resources, as well as in the absence of organizational and technical capabilities to create absolutely safe working conditions Design/methodology/approach: For the study, statistical data were used that obtained from enterprises of the metallurgical industry of Ukraine. Research methods: analysis and generalization of known scientific results, methods of statistical analysis, mathematical modelling, expert assessments and decision theory. Findings: The results of experimental studies have confirmed the possibility of an objective assessment of various options for the OSH management strategy, which allows justifying the allocation of funds for OSH in the required amounts. It is shown that professional risk management strategies are characterized by different efficiency in the use of available financial resources, and the most effective strategy is one that allows you to minimize the level of risk (in comparison with other strategies) with the same amount of funding. Research limitations/implications: The study focuses on enterprises of the metallurgical industry in Ukraine. Practical implications: The application of the developed mathematical models demonstrates the effectiveness of financing certain preventive and protective measures, and stimulates the head to ensure industrial safety. Originality/value: The developed mathematical models allow justifying the allocation of funds for OSH in the required amounts.
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48

Smolyanov, Ivan Alexandrovich, and Fedor Tarasov. "Search optimal control of induction heating modes for a moving workpiece." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 39, no. 1 (January 2, 2020): 81–89. http://dx.doi.org/10.1108/compel-05-2019-0215.

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Purpose This paper aims to create mathematical models and control algorithms allowing the authors to study and form effective modes of operation of multi-inductor system of electrical heating of moving hollow cylindrical blanks. Design/methodology/approach The developed mathematical models were based on the finite-difference method, the control volume method and their combination. The reliability of the results obtained was verified by comparing the calculated results with the experimental ones. The temperature control system was synthesized using methods of the object management theory with distributed parameters. Findings A set of mathematical instruments has been created that allow modelling the operation modes of installation for induction heating of moving hollow cylindrical blanks. Recommendations were given on the formation of an automatic control system that provides heating of a moving hollow cylindrical billet to the required temperature with simultaneous equalization of temperature along the length of the billet in case of highly uneven initial temperature along the length of the billet. Practical implications Part of the paper will be used by the industrial plant for the purpose of heat treatment of iron alloys workpiece. Particularly, a control system will be basically formed based on the models. Originality/value The scientific novelty of the paper is to create control algorithms and mathematical models for the induction heating system of tubular workpieces allowing to explore interrelated electromagnetic and thermal processes taking into account nonlinearities and design features of the system, as well as to form effective modes of its operation based on transfer functions and methods of the object management theory with distributed parameters.
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49

Korennaya, K. A. "The conceptual basis of strategic and operational management of industrial enterprises in conditions of instability." Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics 21, no. 2 (May 2021): 167–72. http://dx.doi.org/10.14529/ctcr210216.

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The problems of strategic and operational management of industrial enterprises in modern conditions of global instability cannot be effectively solved, as in the recent past. New approaches, methods and models are needed that would take into account the complexities of managing industrial enterprises in modern business conditions. Purpose of the study. It is necessary to create a new adaptive approach to the strategic and operational management of industrial enterprises, which would take into account the accelerating dynamics of international markets, as well as the factors of indirect and direct impact on the enterprise, which mainly determine its adaptability. Materials and methods. The main provisions of the conceptual basis of strategic and operational management of industrial enterprises, as well as a set of mathematical models for the implementation of this process are presented. Results. The materials formulated in the article on the preparation and adoption of managerial decisions allow the owners and managers of industrial enterprises to assess all aspects of this process in interrelation and form, in essence, a new paradigm for the functioning of industrial enterprises in conditions of military-political and socio-economic instability in the world, as well as the introduction various sanctions on the part of Western countries in relation to Russian industrial enterprises. At the same time, it becomes possible to take into account the factors of direct and indirect impact on industrial enterprises, which have become especially important in recent years. Conclusion. The approach presented in this article to the formation of the conceptual basis of strategic and operational management of industrial enterprises is, in essence, new and relevant, allowing company shareholders to form promising strategies for the development of industrial enterprises in conjunction with the procedures for operational management of the current activities of enterprises. Thus, the preparation and adoption of decisions on the management of industrial enterprises, both at the strategic and operational levels, becomes possible to carry out on the basis of a holistic algorithm based on the complex of models and methods of strategic and operational management of industrial enterprises developed by the author.
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TKACHOVA, Tetiana. "METHODOLOGICAL APPROACH TO THE APPLICATION OF MODELS OF THE ORGANIZATIONAL AND COMMUNICATION MECHANISM FOR THE DEVELOPMENT AT THE ENTERPRISES IN THE MACHINE-BUILDING INDUSTRY." Ukrainian Journal of Applied Economics 5, no. 3 (September 7, 2022): 363–69. http://dx.doi.org/10.36887/2415-8453-2020-3-40.

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The article analyzes the results of the methodology of object research and construction of its mathematical model, provided that the object is considered as a holistic set of components that have a special connection with the environment and are a subsystem of a higher order system. An effective tool of the outlined principle is system analysis. The research methods proposed in this paper are a mathematical model that contains interconnected heterogeneous resources, the operation of which is subject to a set of rules and objectives for information and communication infrastructure of the enterprise, its socio - economic development and effective organization of business processes. The aim is to determine the methodology of object research and build its mathematical model, provided that the object is considered as a holistic set of components that have a special connection with the external environment and are a subsystem of a higher order system. An effective tool of the outlined principle is system analysis. systems analysis is a problem-solving methodology based on system structuring and quantitative comparison of alternatives. Thus, the system analysis will logically combine a set of theoretical, empirical provisions of the subject areas of natural and economic sciences, the practice of developing complex systems that provide scientific validity for solving a particular problem. Scientific and methodological approaches to economic and mathematical modeling and evaluation of management decisions effectiveness at an industrial enterprise are identified. To build a set of interconnected economic and mathematical models, as well as any individual model, requires a set of principles that allow the correct process of formalization of modeling systems and objects. One of the main principles of modeling economic processes is the principle of systematization, which contains the research methodology of the object and construction of its mathematical model, provided that the object is considered as a whole set of components that have a special connection with the external environment order. The effective tool of the outlined principle is the system analysis, which consists of models development coordinating management decisions at the industrial enterprise. Key words: methodology of object research, model of organizational and communication mechanism, mathematical model.
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