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Abstract

This article summarizes the arguments and counterarguments within the scientific discussion on identifying the enterprise’s state to evaluate its effectiveness and optimize the

target functions in solving enterprise development problems. The proposed scientific and

methodological approach to modeling the enterprise development management system under decentralization conditions and its practical implementation makes it possible to determine the dominant development parameters of manufacturing enterprises that influence

the United Territorial Community and to timely track the impulses and space of the United Territorial Community state, taking into account the PS state as parameters for its

development. The proposed analysis of the Production System state within the United

Territorial Community framework and evaluating its development dynamics shows the necessity of forming a system of generalized vector-scalar, situationally oriented indicators.

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Authors and Affiliations

Anatolii V. Usov
Liubov A. Niekrasova
Predrag V. Dasić
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Abstract

The paper discusses possible applications of wireless technologies in support of lean manufacturing tools. The typology of lean tools is provided. It distinguishes three main categories, which are identification and analysis of waste, improvement implementation, and process monitoring. The set of lean tools was analyzed in terms of information requirements. On the other hand, the typology of wireless technologies was discussed including RFID and Wi-Fi. The literature review of wireless technology applications for support of lean tools was conducted. The literature was systematically reviewed from the point of view of specific technologies and specific tools which were the subjects of the analyzed publications. Both typologies were synthesized to establish a framework for wireless technologies applications in the context of lean manufacturing implementation. It also could serve as a guideline for lean practitioners and implies future research directions. This paper is an extended version of paper published by [1].

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Authors and Affiliations

Bartlomiej Gladysz
Aleksander Buczacki
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Abstract

The activities of the organisation concentrate mainly on meeting customers’ requirements. For this purpose, various activities are being conducted for customer satisfaction surveys. In this context, it is important to predict the quality of the product and the changes in the cost of the purchase product. The purpose of this study is to propose a method for predicting the quality level of a product and change the cost of the product considering current customers’ requirements for a combination of product feature states and pro-quality changes. The method includes the calculation of the quality level of the product using the punctationformalised method, where the level depends on a combination of values of states (parameters) attributes of the product, that is, current and modified. The method was tested as an example of a household vacuum cleaner for which 20 attributes were determined. According to the Pareto rule (20/80), the four product attributes important for customers were selected. Thereafter, for important attributes, possible combinations of the values of these attributes were determined. In addition, an algorithm for determining the possible combinations of product attribute states in the MATLAB program was developed. Additionally, the change in the current cost of the product considering the change in the quality level was estimated. The product cost changes were determined based on the actual cost of the product and the current product quality level. The method allows the determination of all combinations of values of state attributes of the product, such that it is possible to take appropriate improvement actions both in terms of quality and cost. The results from the method allow the prediction of product satisfaction for customers and they are favourable in terms of production cost. Therefore, it is possible to design the product in advance and support the producer in preparatory activities.
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Authors and Affiliations

Dominika Siwiec
1
ORCID: ORCID
Andrzej Pacana
1
ORCID: ORCID

  1. Rzeszow University of Technology, Faculty of Mechanical Engineering and Aeronautics, Poland
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Abstract

Finite fossil fuel resources, as well as the instability of renewable energy production, make the sustainable management of energy production and consumption some of the key challenges of the 21st century. It also involves threats to the state of the natural environment, among others due to the negative impact of energy on the climate. In such a situation, one of the methods of improving the efficiency of energy management – both on the micro (dispersed energy) and macro (power system) scale, may be innovative technological solutions that enable energy storage. Their effective implementation will allow it to be collected during periods of overproduction and to be used in situations of scarcity. These challenges cannot be overestimated - modern science has a challenge to solve various types of problems related to storage, including the technology used or the control/ /management of energy storage. Heat storage technologies, on which research works are carried out regarding both storage based on a medium such as water, as well as storage using thermochemical transformations or phase-change materials. They give a wide range of applications and improve the efficiency of energy systems on both the macro and micro scale. Of course, the technological properties and economic parameters have an impact on the application of the chosen technology. The article presents a comparison of storage parameters or heat storage methods based on different materials with specification of their work parameters or operating costs.

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Authors and Affiliations

Paweł Jastrzębski
Piotr W. Saługa
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Abstract

In the era of the fight against global warming and in light of the search for energy with the least possible impact on the environment, interest in hydrogen has become a natural direction of development. Striving for a zero-emission Europe by 2050, the EU promotes low-emission and ultimately emission-free hydrogen for the widest possible use in the economy. Poland has developed a strategic document specifying the necessary activities for the use of hydrogen in the economy, which should at the same time maintain its competitiveness. Poland is currently the third producer of hydrogen in the European Union, which enables strategic thinking about maintaining Poland as a leading player on the hydrogen market in the long term. Currently, hydrogen in Poland is produced by (usually large) state-owned enterprises for their own needs with only a small margin of its resale. This is conventional hydrogen that is mainly obtained from natural gas. Therefore, it is difficult to talk about the hydrogen market, which must develop so that this raw material can be widely used in many branches of the modern economy. However, this requires taking a number of legislative, research and development and investment activities, as well as directing the national energy transformation to renewable energy sources, which may ultimately reduce the costs of pure hydrogen production. A number of actions have been taken, but the delay in legislative actions is slowing down the creation of the hydrogen market and is limiting the interest of private businesses in engaging in transformation activities.
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Authors and Affiliations

Aleksandra Komorowska
1
ORCID: ORCID
Eugeniusz Mokrzycki
1
ORCID: ORCID
Lidia Gawlik
1
ORCID: ORCID

  1. Mineral and Energy Economy Research Institute PAS, Poland
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Abstract

The article is to present the application of genetic algorithm in production scheduling in a production company. In the research work the assumptions of the methodology were described and the operation of the proposed genetic algorithm was presented in details. Genetic algorithms are useful in complex large scale combinatorial optimisation tasks and in the engineering tasks with numerous limitations in the production engineering. Moreover, they are more reliable than the existing direct search algorithms. The research is focused on the effectivity improvement and on the methodology of scheduling of a manufacturing cell work. The genetic algorithm used in the work appeared to be robust and fast in finding accurate solutions. It was shown by experiment that using this method enables obtaining schedules suitable for a model. It
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Authors and Affiliations

Marcin Matuszny
1
ORCID: ORCID

  1. University of Bielsko-Biala, Bielsko-Biała, Poland
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Abstract

We propose a Bayesian approach to estimating productive capital stocks and depreciation rates within the production function framework, using annual data on output, employment and investment only. Productive capital stock is a concept related to the input of capital services to production, in contrast to the more common net capital stock estimates, representing market value of fixed assets. We formulate a full Bayesian model and employ it in a series of illustrative empirical examples. We find that parameters of our model, from which the time-path of capital is derived, are weakly identified with the data at hand. Nevertheless, estimation is feasible with the use of prior information on the production function parameters and the characteristics of productivity growth. We show how precision of the estimates can be improved by augmenting the model with an equation for the rate of return.
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Authors and Affiliations

Jakub Boratyński
1
Jacek Osiewalski
2

  1. University of Lodz, Lodz, Poland
  2. Cracow University of Economics, Cracow, Poland
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Abstract

The article presents a methodology for analysing historical gas production data and determining the gas reserves and the petrophysical parameters of a reservoir-aquifer system. These parameters are obtained from a fitting algorithm using production data sets. A forecast of the future field gas production can be created on the calibrated mathematical model basis. The developed method is based on the material balance assumptions and the widely used Fetkovich and van Everdingen-Hurst equations for calculating water influx. To conduct the calculations and analyse production data, the computer application was developed using Python programming language. A user-friendly graphical interface makes the proposed application convenient and intuitive to use. The software was calibrated based on the literature data from the gas field of known parameters and then validated using five case studies of the actual gas fields in the Polish Carpathian Foredeep. From the tests, very high compatibility between the computed and the real field values were obtained. An additional comparison with the commercial program MatBal confirmed the proper functioning of the application.
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Authors and Affiliations

Wojciech Żygas
1
ORCID: ORCID
Jacek Blicharski
1
ORCID: ORCID
Czesław Rybicki
1
ORCID: ORCID

  1. AGH University of Science and Technology, Faculty of Drilling, Oil and Gas, Al. Mickiewicza 30, 30-059 Kraków, Poland
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Abstract

The growth of the global population, urbanization as well as economic and industrial development, affect the continuously increasing demand for mineral aggregates. The current assessed global production of mineral aggregates amounts to 50 billion Mg/year, which statistically approximates 6.5 Mg per an inhabitant of the globe. In terms of consumption volume, water is the only raw material ahead of aggregates. Despite such a great scale, in many countries and regions the extraction and production of aggregates belong to the least regulated sector of human activity. This refers particularly to the countries of A sia, A frica, and North A merica, where both the resources and the extraction of aggregates, particularly of sand and gravels, are either not monitored and registered. It significantly increases the negative impact on the natural environment, due to the destruction of riverbeds and oxbows, coastal erosion, drying up cultivation areas, etc. In the reports, local terminology of aggregates often functions, which makes it difficult to compare them and prepare appropriate balances. In order to regulate the unfavorable situation, one of the main conclusions of the Report (UNEP 2019) is the need of implementing a common requirement to plan and monitor the process of extraction of natural resources. The paper presents the possibility of forecasting the extraction and producing aggregates based on the consumption of cement, i.e. the basic building material. A lthough the analyzed coefficient of mineral aggregate production per unit of cement consumption (production) varies, its advantage is the fact that the production of cement is identified and taken into account in balances of industrial production of the majority of countries, whereas such identification for mineral aggregate production are still lacking.

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Authors and Affiliations

Ireneusz Ryszard Baic
ORCID: ORCID
Wiesław Kozioł
ORCID: ORCID
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Abstract

The article presents the possibility of using the Cobb-Douglas production function for planning in a turbulent environment. A case study was carried out – the Cobb-Douglas function was used to examine the condition of the Polish hard coal mining industry and the progress which has been made after undertaking certain activities aimed at increasing the competitiveness of coal companies over recent years. Only the correct and confirmed identification of the causes of irregularities in the production process can allow for the introduction of effective remedies. The effectiveness of the solutions proposed by the author has been confirmed thanks to the simulation during which the impact of the proposed production strategy on the parameters of the CD function was examined. Three variants of production functions models were created and production productivity rates and marginal substitution rates were determined. The results enabled the verification of the progress of restructuring as well as identification of the origin of the observed problems and comparison of the current state with the results of analyses carried out in previous years. Scenarios of possible trend developments for the factors introduced into the function model in order to present remedial measures that could improve the process of hard coal extraction were created. The scenarios were created using the ARIMA class models. Which scenario is the most favourable was determined. A computer program, created by the author, for optimising the level and use of labor resources at the level of the entire coal company has been presented.

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Authors and Affiliations

Aurelia Rybak
ORCID: ORCID
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Abstract

The main pathogen that deteriorates the quality of rose flowers during the postharvest stage belongs to the fungal genus Botrytis. The chemical products used to control the disease caused by this pathogen have been losing effectiveness due to the appearance of resistance. The present study describes the in vitro and in vivo fungicidal activity of Pelargonium graveolens essential oil and its chemical composition. The essential oil was obtained by hydrodistillation, and the in vitro fungicidal activity was determined by agar diffusion assays, showing 100% of fungal growth inhibition at 250 ppm. In vivo assays were performed on Rosa grandiflora flowers treated with 250 ppm of P. graveolens essential oil, using distillate water as a positive control and the commercial fungicide carbendazim as a negative one. No significant differences were obtained between the treatment with the essential oil and the treatment with the commercial fungicide. The chemical profile of the essential oil was determined by GC-MS. The main compounds detected were geraniol (24.89%), citronellol (19.50%), linalool (10.92%) and γ-eudesmol (8.93%). These results encourage the possible use of P. graveolens essential oil for the control of B. cinerea in rose flowers.
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Authors and Affiliations

María Inés Stegmayer
1
ORCID: ORCID
Norma Hortensia Álvarez
1 2
ORCID: ORCID
Néstor Gaspar Sager
2
ORCID: ORCID
Marcela Alejandra Buyatti
2
ORCID: ORCID
Marcos Gabriel Derita
1 3
ORCID: ORCID

  1. Producción y Protección Vegetal, ICiAgro Litoral, UNL, CONICET, FCA, Argentina
  2. Cultivos Intensivos, Facultad de Ciencias Agrarias, Universidad Nacional del Litoral, Santa Fe, Argentina
  3. Farmacognosia, Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Rosario, Argentina
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Abstract

The publication reflects the current situation concerning the possibilities of using augmented reality (AR) technology in the field of production technologies with the main intention of creating a tool to increase production efficiency. It is a set of individual steps that respond in a targeted manner to the possible need for assisted service intervention on a specific device. The publication chronologically describes the procedure required for the preparation and processing of a CAD model. For this preparatory process, the PTC software package is used which meets the requirements for each of the individual operations. The first step is the routine preparation of CAD models and assemblies. These are prepared based on real models located on the device, and their shape and dimensions correlate with the dimensions of the model on the device. The second phase is the creation and timing of the disassembly sequence. This will provide the model with complete vector data, which is then paired with the CAD models in AR. This phase is one of the most important. It determines the location of the model concerning its relative position on the device, provides information on the relocation of parts of the model after the sequence is started, and essentially serves as a template for the interactive part of the sequence. The last two phases are used to connect CAD models with vector data, determine their position for the position mark, and prepare the user interface displayed on the output device. The result of this procedure is a functional disassembly sequence, used for assisted service intervention of a worker in the spindle drive of the Emco Mill 55 device.
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Authors and Affiliations

Justyna Trojanowska
1
Jakub Kašcak
2
ORCID: ORCID
Jozef Husár
2
ORCID: ORCID
Lucia Knapcíková
3
ORCID: ORCID

  1. Poznan University of Technology, Faculty of Mechanical Engineering, Department of Production Engineering, Piotrowo Street 3, 61-138 Poznan, Poland
  2. Technical University of Košice, Faculty of Manufacturing Technologies with a seat in Prešov, Department of Computer Aided Manufacturing Technology, Šturova 31, 080 01 Prešov, Slovak Republic
  3. Technical University of Košice, Faculty of Manufacturing Technologies with a seat in Prešov, Department of Industrial Engineering and Informatics, Bayerova 1, 080 01 Prešov, Slovak Republic
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Abstract

Traditionally the aggregate production plan helps in determining the inventory, production, and work-force, based on the demand forecasts without considering the productivity loss at a tactical level in supply chain planning. In this paper, we include the productivity loss into traditional aggregate production plan and the prescriptive analytics technique, linear programming, is used to solve this problem of practical interest in the domain of multifarious businesses and industries. In this study, we discussed two model variations of the aggregate production planning problem with and without productivity loss, i) fixed work-force, and ii) variable Work Force. The mathematical models were designated to be solved by using an open-source python pulp package in order to evaluate the impacts of the productivity loss on both the models. PuLP is an open-source modeling framework provided by the COIN-OR Foundation (Computational Infrastructure for Operations Research) for linear and integer Programing problems written in Python. The computational results indicate that the productivity loss has direct impact on the workforce hiring and firing.
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Authors and Affiliations

Hakeem Ur REHMAN
Ayyaz AHMAD
Zarak ALI
Sajjad Ahmad BAIG
Umair MANZOOR

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Abstract

The automotive industry is characterized by a high degree of uncertainty. Companies are facing the challenge of producing different systems simultaneously. Additionally, the global quantity of electric vehicles is also expected to increase significantly. This results in the following capability to remain competitive: Effective and efficient adaptions of production systems to model variations and volume increases. While flexible production is identified as the most promising concept, defining the actual flexibility level of included production resources is essential for its proper realization. A literature review on existing flexibility assessment approaches revealed their emphasis on high-level enablers and limited practical applicability in the automotive industry. In contrast, focusing the assessment on single workstations supports the selection of appropriate production resources. Therefore, a simple and structured standard procedure for a production resource flexibility assessment was developed. This theoretical construct was subsequently complemented with practical insights through its application on two real-life case studies within one automotive engineering company. Summarizing and discussing the findings in combination with a conclusion completed this paper.
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Authors and Affiliations

Oliver Moerth-Teo
1
Gernot Schlögl
2
Muaaz Abdul-Hadi
3
Markus Brillinger
3
Martin Weinzerl
4
Christian Ramsauer
1

  1. Institue of Innovation and Industrial Management, Graz University of Technology, Austria
  2. Institue of Production Engineering, Graz University of Technology, Austria
  3. Pro2Future GmbH, Austria
  4. AVL List GmbH, Austria
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Abstract

Production development has for decades concentrated on incremental improvements by exploiting existing manufacturing knowledge to improve existing production systems or adapt them for new product developments. Building up an “ambidextrous innovation” ability, and more specifically in increasing focus on explorative production innovation, is important to balance production development efforts and obtain sustainable development of production. This paper aims to provide a conceptual framework for “ambidextrous production innovation” that conceptualizes and highlights phenomenon characteristics from exploitative and explorative perspectives. The conceptual framework describes “production innovation” as the process of either increasing or developing a new production capability, enabling opportunities for new product designs. This process can be either “product-driven” or “production-driven” depending on the primary objective of the development.
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Authors and Affiliations

Lisa Larsson
1
David Romero
2

  1. Department of Business Administration, Technology and Social Sciences, Luleå University of Technology, Sweden
  2. Departments of Industrial Engineering and Mechatronics, School of Engineering and Sciences, Tecnológico de Monterrey, Mexico
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Abstract

In this article we have described a multiproduct model of economical dynamics of Gale type, in which the changes in production technology (the dynamics of Gale type production spaces) depend upon the scale of targeted investments. Under such assumptions we have proved a so-called “weak” version of a multilane turnpike theorem in the Gale type economy with varying technology which converges to a certain limit technology. It states that in the long periods of time, regardless of the initial state of the economy, the optimal growth processes almost always lie close to the family of steady growth paths with maximum growth rate called the multilane turnpike.
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Authors and Affiliations

Emil Panek
1

  1. University of Zielona Góra, Institute of Economics and Finance, Zielona Góra, Poland
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Abstract

Underground mining development is directly related to face drilling rig performance. Reducing operating costs and improving productivity are current and crucial topics for mining projects around the world within the development phase. Unlike past approaches, this article is based on variations of equipment availability and utilisation, and their impact on development plans success and costs decrease. To assess the influence of these parameters, daily field data were collected to identify major downtimes in normal cycles and apply adequate corrective measures to mitigate them. Additionally, this article presents the reader with a graphic illustration of the correlation between utilisation and development, including historical data. This paper was developed from October 2017 to March 2018. The result of this study seeks to identify when projects generate profits by comparing four situations with constant productivity, but variables such as the possession rate, maintenance fee, production and utilisation. Finally, it is demonstrated that success in mining projects, related to equipment, is proportional to the utilisation of the fleet, with the correct management of productivities.
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Bibliography

[1] S. Elevli, B. Elevli, Performance Measurement of Mining Equipments by Utilizing OEE. Acta Montan. Slovaca 15, 95-101 (2010),
[2] C. Hegde, K.E. Gray, Use of machine learning and data analytics to increase drilling efficiency for nearby wells. Journal of Natural Gas Science and Engineering 40, 327-335 (2017). https://doi.org/10.1016/j.jngse.2017.02.019
[3] B . A. Kansake, R. S. Suglo, Impact of Availability and Utilization of Drill Rigs on Production at Kanjole Minerals Limited. International Journal of Science, Environment and Technology 4, 6, 1524-1537.
[3] J. Valivaara, Automated Drilling Features for Improving Productivity and Reducing Costs in Underground Development. Global Trends, 9-11.
[4] B . Samatemba, L. Zhang, Evaluating and optimizing the effectiveness of mining equipment; the case of Chibuluma South underground mine. Journal of Cleaner Production 252 119697 (2020).
[5] D . Henao, MBA thesis, Aplicación de la Metodología Kaizen a las operaciones en la mina en la empresa de explotación de cobre Miner S.A. Universidad Eafit, Escuela de Administración, Medellín (2019).
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Authors and Affiliations

Sebastian Arenas Bermúdez
1
ORCID: ORCID
Cristian Gerardo Zapata Otalora
1
Jorge Martin Molina Escobar
1
ORCID: ORCID

  1. Universidad Nacional de Colombia, Mines Faculty, Colombia
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Abstract

The aim of the present study was to investigate inline lactate dehydrogenase (LDH) dynamic changes based on different cow factors – different number and stages of lactation, milk yield, and the status of reproduction in clinically healthy dairy cows.

In the Herd Navigator system, LDH activity levels (μmol/min per litre) were measured using dry-stick technology. A total of 378 cows were selected. According to their reproductive status, the cows were classified as belonging to the following groups: Fresh (1 – 44 days after calving); Open (45 – 65 days after calving); Inseminated (1 – 35 days after insemination); Pregnant (35 – 60 days after insemination and pregnant). According to their productivity, the cows were classified into the following groups: <15 kg/day, 15 – 25 kg/day, 25 – 35 kg/day and >35 kg/day. The cows were milked with a DeLaval milking robot (DeLaval Inc. Tumba Sweden) in combination with a Herd Navigator analyser (Lattec I/S. Hillerød Denmark).

In conclusion inline dynamic changes in the milk LDH concentration may increase together with the rise in the lactation period frequency. The highest LDH level determinated in the group of the fresh cows ranged from 5 to 10 DIM, while the highest LDH concentration level was found in the fresh cow milk. Thus, there was a positive relationship between the milk concentration of LDH and the milk yield.

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Authors and Affiliations

R. Antanaitis
D. Malašauskienė
M. Televičius
V. Juozaitienė
A. Rutkauskas
G. Palubinskas
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Abstract

Voice production — emission, raised interest of humans from almost the beginning of the humanity. First written information dates back to the Egyptian times 2500–3000 BC. Practically from early Greek period until XIX century studies of the larynx and the speech apparatus brought new and new facts, both regarding the structures, physiology and clinics. Such ancient researchers as Galen, Morgagni, Eustachii, Casserius created milestones for modern laryngology. Authors hoped to present some facts on the anatomical researches in the field of organs responsible for voice production from historical perspective.
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Authors and Affiliations

Andrzej Żytkowski
1
Jerzy Walocha
2

  1. Faculty of Philology, Department of Polish Dialectology and Logopedics, University of Lodz, Poland
  2. Department of Anatomy, Jagiellonian University Medical College, Kraków, Poland
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Abstract

Results of the analysis proved that the net primary productivity has a strong connection with the solar insolation. The length of daylight and the level of solar radiation are the driving forces behind changes in growth of primary products, as floral forms are among the first indicators of changes in ecosystems due to global warming. The group of climatic components that have a moderate connection with the bioproductivity of ecosystems of the Polissya are derivatives of bioclimatic indicators related to air temperature, including annual temperature, seasonality, minimum temperature of the coldest month, and the average temperature of the coldest quarter. Seasonality and the annual variation of temperature affect bioproductive processes inversely: the productivity decreases with the increased temperature range between the warmest and the coldest periods of the year and in the middle of quarters.
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Bibliography

Analytical information on the state of water resources of the state and features of agricultural production in the conditions of climate change, 2020. http://naas.gov.ua/upload/iblock/78a, downloaded on May 8, 2020 (in Ukrainian).

Botkin, D.B., Simpson, L.G., 1990. Biomass of the North American Boreal Forest. Biogeochemistry 9 (2), 161–174.

Climate change, 2007. The Scientific Basis – Contribution of Working Group 1 to the IPCC Fourth Assessment Report, UNEP/WMO, 250 pp. http://www.ipcc.ch/SPM2feb07.pdf, downloaded on June 6, 2020.

Earth Observing System Data and Information System (EOSDIS). https://earthdata.nasa.gov/eosdis, downloaded on February 13, 2020.

Ivanyuta, S.P., Kolomiets, O.O, Malinovskaya, O.A, Yakushenko, L.M., 2020. Climate change: consequences and adaptation measures: analytical report, Kyiv, 110 pp. (in Ukrainian).

Lakida, P.I., 1996. Produktyvnist lisovykh nasadzhen Ukrainy za komponentamy nadzemnoi fitomasy. Doctoral Dissertation for Agricultural Sciences (06.03.02, Forest Management and Forest Taxation). Kyiv, 304 pp. (іn Ukrainian).

Lukash, O.V., 2009. The flora of the Eastern Polissia vascular plants: the structure and dynamics Phytosociocentre, Кyiv, 200 pp. (in Ukrainian).

Madgwick, H.A.I., 1970. Biomass and productivity models of forest canopies. Ekological studies: Analysis and synthesis, 4, 47–54; Heidelberg, Berlin: Springer Verlag. Y. 1: Analysis of temperate forest ecosystems.

Mysiak, R.I., 2011. Activity of photosynthetic pigments of bushes is at the terms of different insolation. Scientific Bulletin of NLTU of Ukraine 21, 3–5. (in Ukrainian).

Public cadastral map of the Ukraine. https://map.land.gov.ua/?cc=3461340.1719504707,6177585.367221659&z=6.5&l=kadastr&bl=ortho10k_all

QGIS Free open sourse geographic information system. https://www.qgis.org/uk/site/index.html

Running, S.W., Nemani, R., Glassy, J.M., Thornton, P.E., 1999. MODIS daily photosynthesis (PSN) and annual net primary production (NPP) product (mod17). Algorithm Theoretical Basis Document, 1999. https://modis.gsfc.nasa.gov/data/atbd/atbd_mod16.pdf, downloaded on June 20, 2020.

Solar radiation and photovoltaic electricity potential country and regional maps for Europe // European Commission. http://re.jrc.ec.europa.eu/pvgis/, downloaded on April 16, 2020.

WorldClim – Global Climate Data, 2015. http://www.worldclim.org/bioclim, downloaded on April 19, 2020.
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Authors and Affiliations

Svitlana Kyriienko
1
Alina Mykolaivna Sliuta
1

  1. T.H. Shevchenko National University “Chernihiv Colehium” Hetman Polubotok Str. 53, 14013 Chernihiv, Ukraine
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Abstract

In the Fugleberget catchment area (Spitsbergen, Hornsund Fiord region) the growing season lasted 95 days, with growth beginning under the snow. In this time shoots of moss Calliergon stramineum reached a mean length of 19 mm and mean biomass of 0.593 mg dry weight. Annual primary production of moss communities amounts to 220-270 g dry weight per square meter per year. In the first year of destruction the dead plant material lost 30-45% of its initial value, after 10 years only ca 25% of the initial amount of organic matter was left.

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Authors and Affiliations

Krzysztof W. Opaliński
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Abstract

The relevance of the study is due to the need to identify the problems, features and consequences of strategic transformations in the metallurgical industry of Ukraine in the context of reviewing the circular process of organization of the economy, where the blast furnace, open-hearth and rolling production waste are of a high potential. The reuse of metallurgical waste has a number of economic advantages in terms of the chemical composition of the product life cycle. Blast furnace slag is suitable as a raw material in cement production and can be used as fillers in the construction of roads, hydraulic and environmental facilities, during reclamation works, etc. Agriculture actively uses slag as a fertilizer that contains potassium, magnesium, phosphorus, magnesium, boron – as an additive that reduces soil acidity. Currently, all slag can be processed into fertilizers or building materials. The economic effect of the use of slag in construction is accounted for in the relatively low cost of products, improvement of the quality and durability of the structures. The main positive consequences of smartization of the metallurgical industry are increase of its resource efficiency and environmental friendliness, negative – the low level of blast furnace slag use in various sectors of the economy compared to the experience of developed countries, an insufficiently developed legal framework. The mechanism of state management of the use of secondary raw materials, especially metallurgical origin, in conditions of shortage of energy resources and the intensive use of non-renewable natural resources remains an important scientific problem and requires further research.
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Authors and Affiliations

Yuri Zakharovich Drachuk
1
ORCID: ORCID
Elena Stalinskaya
2
ORCID: ORCID
Elizaveta Snitko
3
ORCID: ORCID
Evgeniya Zavgorodnyaya
3
ORCID: ORCID
Monika Jaworska
4 5
ORCID: ORCID
Larisa Savyuk
6
Dmitry Cheylyakh
7
ORCID: ORCID

  1. Institute of Economics Industry of the National Academy of Sciences of Ukraine, Kiev, Ukraine
  2. Department of International Economic Relations, Vasyl Stefanyk Precarpathian National University, Ukraine
  3. Department of Management, Lugansk National Taras Shevchenko University, Ukraine
  4. Akademia Humanistyczno-Ekonomiczna w Łodzi
  5. APEIRON Wyższa Szkoła Bezpieczeństwa Publicznego i Indywidualnego w Krakowie, Poland
  6. Ivano-Frankivsk Legal Institute of Odessa National Law Academy, Ukraine
  7. Institute of Industrial Economics of the National Academy of Sciences of Ukraine, Ukraine
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Abstract

One of the most important business areas of the company is the management of working capital. Energy companies that produce electricity and heat are the main consumers of steam coal, so their decision concerning stock levels is a major determinant of supply schedules. These decisions depend on legal and technical requirements as well as economic aspects. The seasonality of coal consumption jointly with pre-purchase costs and storage costs has a straight impact on delivery scheduling in a parabolic way. There is a divergence in expectations regarding delivery schedules among the coal market participants (energy, mining, transport companies). The purpose of this article is to present the concept of pricing of steam coal and transport service on the Polish market, assuming the use of price incentives, resulting in delivery scheduling during the year. The article presents selected theoretical content in the field of coal logistics and working capital management in the company, the expectations of the steam coal market participant regarding delivery schedules have been identified. The proposed concept of pricing steam coal and transport service should be discussed further in scientific and expert work.

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Authors and Affiliations

Patryk Dunal
Filip Bolesta
Wojciech Dydyk
Małgorzata Kozik
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Abstract

The region’s development potential is a set of endogenous features that determine the growth of the local economy. It supports the development of knowledge, innovation and eff ective competition on global markets. The publication argues that saturation with potential may not be enough to cause economic growth. The distribution of potential is also important: concentration is its catalyst. The study proposes a method for measuring the concentration of potential. It has also been shown that the size of the regional economy depends on the distribution of potential in the region.

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Authors and Affiliations

Michał Nadolny

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