scholarly journals Development of methodological support for improving the quality of expert assessment of business processes

2021 ◽  
Vol 1 (4(57)) ◽  
pp. 22-27
Author(s):  
Vitalii Antoshchuk ◽  
Volodymyr Filippov ◽  
Varvara Kuvaieva
Keyword(s):  
Business Processes ◽  
Expert Assessment ◽  
Management Decisions ◽  
Current State ◽  
Wide Range ◽  
Expert Team ◽  
Expert Assessments ◽  
Business Structures ◽  
Individual Expert

The object of research is the process of forming a collective expert assessment with increased reliability in making management decisions in business structures by an expanded team of experts. One of the most problematic places in the expert assessment of management decisions is the complexity of forming a competent expert team and the rather high cost of the expertise. In recent years, there has been a tendency for expert assessment with an expanded team of experts. In this case, not only professional experts are involved in the examination, but also all persons wishing to take part in solving the problem. In this case, the reliability of the examination raises doubts. In connection with the participation in expert assessment of persons who do not have experience in expert work, a wide range of expert assessments is possible. The analysis of the current state of the methods of expert assessment in business is carried out. It has been established that the Delphi method, which was most used until recently, does not meet modern requirements. More progressive methods are based on mathematical consensus theory. Consensus is understood as the degree of correlation of individual expert assessments performed in rank scales. In the course of the study, formalized mathematical approaches to the organization of collective expertise were used. A method for processing the results of an examination with an expanded composition of experts was developed. The developed methodology is focused on identifying experts with insufficient qualifications. The methodology allows for a step-by-step assessment of the reliability of the collective expert decision by assessing the Kendall concordance coefficient. It is shown that the phased exclusion of assessments by experts with insufficient qualifications allows increasing the level of consensus, the quality and reliability of the collective expert assessment. The developed methodology has been tested in a really functioning enterprise to make a decision on the exit strategy of the enterprise from their crisis. The use of the developed methodology has made it possible to significantly increase the reliability of the examination results, assessed by the concordance coefficient. The results are useful for practical application in business structures when conducting expert examinations involving a wide range of participants.

scholarly journals THE CURRENT STATE AND TRENDS OF PROCESSING SECONDARY RAW MATERIALS OF WINEMAKING IN UKRAINE

2021 ◽  
Vol 15 (2) ◽  
Author(s):  
L. Osipova ◽  
A. Khodakov ◽  
O. Radionova ◽  
L. Tkachenko ◽  
T. Abramova
Keyword(s):  
Animal Feed ◽  
Raw Materials ◽  
Research Institutions ◽  
Administrative Authority ◽  
Secondary Raw Materials ◽  
Current State ◽  
Wide Range ◽  
Innovative Products ◽  
Materials Research ◽  
Business Structures

The current state of processing secondary raw materials of winemaking in Ukraine has been analysed. It has been shown that these materials are a rich source of bioactive compounds. This allows using them to manufacture a wide range of products (oenological tannin, food oenocolourant, polyphenolic extracts, tartaric acid, beverages, grape oil, vitamin D, protein, animal feed, food powder, fertilisers, abrasive materials, etc.) with high consumer value for various industries: food, pharmaceutical, perfume and cosmetics, chemical, compound feed, etc. In the light of modern views, phenolic compounds contained in large quantities in grape stems and pomace have been shown to be indispensable factors in nutrition and treatment. It has been noted that in today’s Ukraine, there are no specialised enterprises for complex processing of secondary raw materials of winemaking. In particular, unprocessed grape stalks and pomace are in most cases uncontrollably carried away to farmlands. This leads to acid erosion of the soil and to polluting the environment by micromycete metabolites, which but exacerbates one of mankind’s global problems, the environmental one. It has been concluded that traditional domestic technologies of processing secondary raw materials of winemaking are technologically, economically, and environmentally ineffective. There is no comparative analysis of innovative domestic and foreign technologies and equipment for processing secondary raw materials of winemaking. Modern innovations to obtain bioactive additives and other products cannot be introduced, since there is no necessary home-manufactured equipment, and imported machines are too expensive. Besides, there is but weak interaction among wineries, research institutions, business structures, and administrative authority. Cluster ideology has been suggested as a basis to organise comprehensive processing of secondary raw materials of winemaking in Ukraine. This will unite the interests of wineries (producers of secondary raw materials), processing enterprises (manufacturers of products from secondary raw materials), research institutions, and potential consumers of innovative products

scholarly journals Algorithm for making management decisions on the use of outsourcing by entrepreneurial structures

2021 ◽  
Vol 9 (1) ◽  
pp. 216-220
Author(s):  
Irina Truschenko
Keyword(s):  
Economic Crisis ◽  
Business Processes ◽  
Financial Resources ◽  
Economic Downturn ◽  
Management Decisions ◽  
Managerial Decision ◽  
Coronavirus Infection ◽  
Business Structures

Due to the economic downturn and high competition in the market, business structures are constantly looking for ways to optimize financial resources, as well as ways to increase their profits. Thus, a number of business structures use outsourcing as one of the effective tools for managing their resources. The transfer of individual business processes can allow the entrepreneurial structure to focus on strategically important areas of activity, due to which the profit of the entrepreneurial structure can be increased. According to the author's observations, the functioning of any business structures in the conditions of the economic crisis and the situation that has developed in connection with the spread of the new coronavirus infection COVID-19, outsourcing is a very relevant tool to increase competitiveness in the market. The article discusses the developed algorithm for making management decisions on the use of outsourcing by entrepreneurial structures. The process of making management decisions regarding the use of outsourcing is associated with a number of risks. The algorithm proposed by the author can help to minimize the risks arising when making a managerial decision on the use of outsourcing by entrepreneurial structures.

scholarly journals INTEGRATION OF MODERN TECHNOLOGY FOR ARCHITECTURAL-BUILDING GLASS PRODUCTION

2021 ◽  
pp. 90-95
Author(s):  
Liudmyla Bragina ◽  
Serhiy Yaitsky ◽  
Dmytro Petrov ◽  
Olena Starolat
Keyword(s):  
Glass Production ◽  
Float Glass ◽  
Modern Technology ◽  
Technological Parameters ◽  
Current State ◽  
Operational Characteristics ◽  
Low Emission ◽  
Wide Range ◽  
Technological Methods

The current state of technologies for the production of glass products used in the architectural and construction industry, types of the energy-saving float-glasses and their role in the lighting quality of the buildings was analyzed. The relevance of the use of Low-E glass, in particular in the glass units, is shown. Innovative trends in the production of sheet architectural and construction float glass with the use of modern technologies and equipment, in particular, at PJSC "Lysychansk glass factory "Proletary ", considered. It is established that a significant disadvantage of more energy-efficient I-glasses, which have a wide range of color characteristics, is the insufficient mechanical strength of soft coatings applied by magnetron vacuum spraying. It is shown that the technology of manufacturing low-emission I-glasses with such coatings does not allow them to be hardened while maintaining all the necessary operating parameters. Physicochemical properties and operational characteristics of large-sized glasses with silver, sunscreen soft coating, laminated, flat and radial tempered glasses, as well as their areas of application are presented. The principles of strengthening soft magnetron coatings for low-emission Double Low-E glasses and composition, layer combinations and technological parameters of multilayer nanocoatings with a total thickness of up to 140 nm, which allows to harden I-glass with these coatings, investigated. The technological parameters of obtaining low-emission I-glasses with variable coatings, which regulate the spectral and operational indicators of these glassware according to the interstate standards GOST EN 673-2016 and GOST EN 410-2014, are analyzed. Technological methods of the sheet glass with low-emission coatings hardening by creating of the special compositions and optimizing magnetron sputtering processes optimizing, as well as the basic regularities of the arrangement of the film layers of the Si3N4 / NiCr / Si3N4 film for the heat treatment withstanding of the glasses in the R2O – RO – SiO2 system are considered. The principles of adjusting their spectral and mechanical characteristics depending on the concentration and ratio of the components of the thin-film nanolayer, which will contribute to the creation of a variation series of float glasses with the required level of reflection in the infrared spectrum, are proposed.

Management decision-making algorithm development for planning activities that reduce the production risk level

2019 ◽  
Vol 1-2 (93) ◽  
pp. 41-49
Author(s):  
O. Kruzhilko ◽  
V. Maystrenko
Keyword(s):  
Mathematical Model ◽  
Preventive Measures ◽  
Management Decision ◽  
Expert Assessment ◽  
Management Decisions ◽  
Production Risk ◽  
Model Of Management ◽  
Management Decision Making ◽  
Expert Assessments ◽  
Industrial Risk

Purpose: Algorithm development for a measures phased expert assessment to reduce production risk at an industrial enterprise to adapt the expert method to the conditions for specific problem solving. Design/methodology/approach: To develop an algorithm for making management decisions, a step-by-step solution process was used. If the problem is solved under conditions of complete or partial uncertainty, an expert method of estimation was applied. In the mathematical model of management decision-making used criterion approach. At the same time, the methods of Sevij, Wald, and Hurwitz are considered to determine the criterion for choosing management decisions. Findings: A phased expert assessment of measures that reduce production risk at an industrial enterprise with the introduction of weighting factors in specified criteria is proposed. The expediency of applying the method of expert assessments and the Hurwitz criterion when planning measures to reduce industrial injuries is justified, since this approach links the preventive measures in the field of labour protection with the results of risk assessment and reduces subjectivity in making management decisions. Research limitations/implications: The proposed algorithm for expert assessment of measures to reduce production risk is universal for industrial enterprises. Practical implications: An algorithm has been developed to substantiate managerial decisions to reduce the production risks of the occurrence of traumatic events when planning preventive measures, which involves applying criteria for selecting measures based on the method of expert assessments and applying the Gurwitz criterion. Originality/value: Developed a consistent model of industrial risk management, which is based on a component method of assessing the risk of traumatic events and a mathematical model of management decisions. This model differs from the existing ones, taking into account all available risk-relevant information of the enterprise, stimulates preventive activity, and allows establishing the dependence of the level of industrial risk on the validity of measures on occupational safety and reducing the influence of the subjective component of expert judgments.

scholarly journals To the question of the necessity of optimization of business processes of modern enterprises

2019 ◽  
pp. 14-18
Author(s):  
O. N. Kolomyts ◽  
S. A. Miterev ◽  
V. S. Tomashenko
Keyword(s):  
Quality Of Service ◽  
Continuous Improvement ◽  
Process Improvement ◽  
Cycle Time ◽  
Business Processes ◽  
Rapid Development ◽  
Competitive Advantages ◽  
Wide Range ◽  
Automation Tools

The rapid development and change of technologies, growing diversification of business and other factors lead to a decrease in the efficiency of the existing system of business processes of companies, which necessitates its purposeful change, continuous improvement of both management and production activities of the organization, that is, the optimization of business processes. In this connection, the article explains the need to optimize the business processes of modern companies, which helps to identify opportunities to reduce costs, cycle time while improving the quality of service or product quality. Stages of optimization of business processes are allocated; the most often applied ways of optimization of business processes, namely: process improvement or restructuring and automation are considered; it is proved that, using for optimization the software, the organizations can manage processes faster and with fewer errors. Automation tools of business processes to optimize operations for organizations in a wide range of industries, contribute to a more efficient use of available resources and provide a more streamlined platform for employees and their tasks, help to save time, minimize costs, enhance competitive advantages and strengthen its position of competitiveness and to improve the efficiency of any company.

Robotic Process Automation ― Current State and Future Directions

2018 ◽  
pp. 52-61
Author(s):  
Andrzej Sobczak
Keyword(s):  
Customer Service ◽  
Business Processes ◽  
Legacy Systems ◽  
Process Automation ◽  
Structured Interviews ◽  
Robotic Process Automation ◽  
Current State ◽  
Pilot Implementation ◽  
Questionnaire Surveys

The increasing use of digital technologies leads to a deep transformation in the functioning of both individual entities and entire industries. These changes are referred to as digital transformation. In the first period, the scope of transformation focused primarily on ensuring the highest quality of customer service / customer experience. Currently, more and more attention is being devoted to the digitisation of operational and business support processes. It turns out that in many organisations, the IT tools that have been used so far are fragmentary, and the so-called legacy systems are often in use. Many components of the processes require employees to manually transfer data between systems that are not integrated with each other. In order to digitise operational and support processes, more and more entities implement IT tools classified into the currently developing category of RPA (Robotic Process Automation). The objectives of the article were (O1): to examine the current literature on issues related to business processes robotization, in particular with regards to RPA tools; (O2): general assessment of the current state of implementing RPA tools in Polish organizations, which could be classified as leaders in computerisation; (O3): identifying the possible direction of RPA tools development. The article uses the literature research method and pilot questionnaire surveys. In addition, semi-structured interviews were conducted with persons who declared that they had carried out at least a pilot implementation of RPA tools.

scholarly journals Modern neurooncology – the development of the field and the possibilities of glioma therapy in Warsaw – a neurosurgical perspective

2019 ◽  
Vol 2019 (30) ◽  
pp. 135-141
Author(s):  
Bartosz Czapski ◽  
Adam Warzecha ◽  
Wojciech Górecki ◽  
Tomasz Wójcikiewicz ◽  
Mirosław Ząbek
Keyword(s):  
Brain Tumors ◽  
Brain Cancer ◽  
State Of The Art ◽  
Clinical Problem ◽  
Complex Nature ◽  
Scientific Cooperation ◽  
Malignant Brain Tumors ◽  
Current State ◽  
Wide Range

This article is devoted to discussing the possibility of treating malignant brain tumors in the Mazovia region. The difficult clinical problem confronted by doctors and scientists is discussed in relation to the complex nature of gliomas. The current state-of-the-art treatment along with its limitations is subjected to discussion. The opportunities available to Mazovian doctors, which can be used to significantly prolong and improve the quality of patients’ lives, are presented in detail. Finally, the paper presents the wide range of possibilities for scientific cooperation and the directions it should take in order to learn more about the genesis of brain cancer and make it curable.

Artificial intelligence in the modeling of chemical reactions kinetics

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Maciej Staszak
Keyword(s):  
Artificial Intelligence ◽  
Chemical Processes ◽  
Rate Equations ◽  
Network Systems ◽  
Current State ◽  
Wide Range ◽  
Kinetics Of ◽  
Fast Evolution ◽  
Selection Of

AbstractThe work presents a selection of recent papers in the field of modeling chemical kinetics by the use of artificial intelligence methods. Due to the fact that kinetics of the chemical reaction is the key element of industrial reactor design and analysis, the work is focused on the presentation of the quality of modeling, the assembly of neural network systems and methods of training required to achieve acceptable results. The work covers a wide range of classes of chemical processes and modeling approaches presented by several authors. Because of the fact that the methods of neural networks training require huge amounts of data, many approaches proposed are intrinsically based on classical kinetics modeling like Monte Carlo methods, quantum ab initio models or classical Arrhenius-like approaches using mass balance rate equations. The work does not fully exhaust the area of artificial intelligence because of its very broad scope and very fast evolution, which has been greatly accelerated recently. However, it is a contribution to describing the current state of science in this field.

Big Data Research in the Tourism Industry

2020 ◽  
Vol 11 (4) ◽  
pp. 26-41
Author(s):  
Imadeddine Mountasser ◽  
Brahim Ouhbi ◽  
Bouchra Frikh ◽  
Ferdaous Hdioud
Keyword(s):  
Big Data ◽  
State Of The Art ◽  
Tourism Industry ◽  
Data Sources ◽  
Digital Data ◽  
Current State ◽  
Wide Range ◽  
The World ◽  
Data Acquisition Process

Nowadays, people and things are becoming permanently interconnected. This interaction overloaded the world with an incredible digital data deluge—termed big data—generated from a wide range of data sources. Indeed, big data has invaded the domain of tourism as a source of innovation that serves to better understand tourists' behavior and enhance tourism destination management and marketing. Thus, tourism stakeholders have increasingly leveraging tourism-related big data sources to gather abundant information concerning all tourism industry axes. However, big data has several complexity aspects and brings commensurate challenges that go along with its exploitation. It has specifically changed the way data is acquired and managed, which may influence the nature and the quality of the conducted analyses and the made decisions. Thus, this article investigates the big data acquisition process and thoroughly identifies its challenges and requirements. It also reveals its current state-of-the-art protocols and frameworks.

Automatic generation of a large dictionary with concreteness/abstractness ratings based on a small human dictionary

2021 ◽  
pp. 1-9
Author(s):  
Vladimir Ivanov ◽  
Valery Solovyev
Keyword(s):  
State Of The Art ◽  
Research Question ◽  
Automatic Generation ◽  
Expert Assessment ◽  
High Quality ◽  
Test Set ◽  
Expert Assessments ◽  
Abstract Words ◽  
Expert Ratings

Concrete/abstract words are used in a growing number of psychological and neurophysiological research. For a few languages, large dictionaries have been created manually. This is a very time-consuming and costly process. To generate large high-quality dictionaries of concrete/abstract words automatically one needs extrapolating the expert assessments obtained on smaller samples. The research question that arises is how small such samples should be to do a good enough extrapolation. In this paper, we present a method for automatic ranking concreteness of words and propose an approach to significantly decrease amount of expert assessment. The method has been evaluated on a large test set for English. The quality of the constructed dictionaries is comparable to the expert ones. The correlation between predicted and expert ratings is higher comparing to the state-of-the-art methods.

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