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Peter Kacmary
Institute of Logistics and Transport, Technical University of Kosice

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Conference paper
Published: 03 August 2021 in 5th EAI International Conference on Management of Manufacturing Systems
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This article brings the solution to prevent the risks of shortages of certain goods (food items) in large retail chains, especially when these products are included in advertising campaigns with a temporary reduction in price and thus to ensure the satisfaction of customers. The purchase of such goods should be carefully planned on the basis of forecasting methods that differentiate between the sales under normal conditions and during advertising campaigns. This article points to the use of classical forecasting methods, which are applied differently in the two regimes. The results brought a significant reduction in the share of the sold-out goods compared to the period when the forecasting methodology was not implemented into the purchasing planning process. During the 3 months, which were set as testing period of this methodology, the percentage of sold-out goods selected in campaigns was decreased by 66%. The results of forecasts of suggested methods, for the period for which the forecast was calculated, were compared with the actual values by using a modified MAPE (MMAPE). The aim of this study was that the MMAPE did not exceed a 20–25% deviation, especially for the products, which were chosen for a marketing campaign.

ACS Style

Martin Straka; Peter Kacmary; Andrea Rosova; Olga Vegsoova; Marian Sofranko. Case Study in Logistics: Purchase Planning of Goods for Large Retail Chains, Taking into Account Sale Marketing Campaigns. 5th EAI International Conference on Management of Manufacturing Systems 2021, 283 -294.

AMA Style

Martin Straka, Peter Kacmary, Andrea Rosova, Olga Vegsoova, Marian Sofranko. Case Study in Logistics: Purchase Planning of Goods for Large Retail Chains, Taking into Account Sale Marketing Campaigns. 5th EAI International Conference on Management of Manufacturing Systems. 2021; ():283-294.

Chicago/Turabian Style

Martin Straka; Peter Kacmary; Andrea Rosova; Olga Vegsoova; Marian Sofranko. 2021. "Case Study in Logistics: Purchase Planning of Goods for Large Retail Chains, Taking into Account Sale Marketing Campaigns." 5th EAI International Conference on Management of Manufacturing Systems , no. : 283-294.

Journal article
Published: 30 July 2021 in Sustainability
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This article is focused on the creation of a system for forecasting of future orders for a specific beverage cans manufacturer. The problem comes from the irregular ordering of cans from different customers; not only national companies, but also from companies abroad. This causes fluctuations in production and consequently an irregular transport regime. That is why the beverage can producer demanded a forecasting system that would help to create an annual production plan. The aim is to analyze the ordering process for the last two years and on that basis to create a forecast system of the possible ordering process for the following year. This is necessary for the introduction of regularity of production, because the frequent transitions of the line to another assortment range or other surface printing requires long downtimes due to the technological setting, thus creating large losses due to inactivity of the production line. As drinking habits of final customers reflect the sale of cans, it was expected that sale data would have a seasonable character; this was proved after a brief analysis of the former data. After that, the appropriate forecasting methods were chosen. The methodology was created to combine multiple forecast results into one to increase the forecast objectivity. Forecasting is performed at three different levels: forecasting of assortment, forecasting of region sale and total forecasting of all orders. In spite of the change in market behavior in 2020, due to the pandemic situation in the first wave of the COVID-19 crisis, the sale of beverage cans is expected to stabilize and return to pre-crisis level as early as 2021. Then the forecasting system will fully meet the company’s requirements.

ACS Style

Peter Kacmary; Andrea Rosova; Marian Sofranko; Peter Bindzar; Janka Saderova; Jan Kovac. Creation of Annual Order Forecast for the Production of Beverage Cans—The Case Study. Sustainability 2021, 13, 8524 .

AMA Style

Peter Kacmary, Andrea Rosova, Marian Sofranko, Peter Bindzar, Janka Saderova, Jan Kovac. Creation of Annual Order Forecast for the Production of Beverage Cans—The Case Study. Sustainability. 2021; 13 (15):8524.

Chicago/Turabian Style

Peter Kacmary; Andrea Rosova; Marian Sofranko; Peter Bindzar; Janka Saderova; Jan Kovac. 2021. "Creation of Annual Order Forecast for the Production of Beverage Cans—The Case Study." Sustainability 13, no. 15: 8524.

Journal article
Published: 28 May 2021 in Applied Sciences
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This article evaluates changes in the organization of transport on urban roads through the transport model in the OmniTRANS program. The selected location for the case study in this article is the internal traffic circuit of Kosice, which borders the historic core of the city. Currently, the proposal is being prepared to change the organization of transport in the town’s monument reserve and its protection zone. The transition to a one-way road around the historic center is being considered. Before introducing the new proposed change in traffic, it is necessary to test this proposed change and determine how it will affect the traffic situation. The aim of this article is to compare the current transport organization with the proposed change in transport organization in terms of traffic intensity. The use of transport models in the world is not a new concept, but it is often not used in the conditions of the Slovak Republic. However, traffic and simulation models can save money and time and avoid possible unexpected problems before putting the proposed changes into practice. Solving the given problem is an excellent benefit for transport planning and traffic engineering for Kosice and other places with a similar arrangement of the historical center and a similar number of inhabitants. The proposed changes can be tested by modelling traffic and then to adjust them when the cons are identified. Thanks to the traffic simulation model, it is possible to compare the capacity load of the inner traffic circuit of the city before and after the introduction of the one-way circuit.

ACS Style

Peter Bindzar; Janka Saderova; Marian Sofranko; Peter Kacmary; Jaroslaw Brodny; Magdalena Tutak. A Case Study: Simulation Traffic Model as a Tool to Assess One-Way vs. Two-Way Traffic on Urban Roads around the City Center. Applied Sciences 2021, 11, 5018 .

AMA Style

Peter Bindzar, Janka Saderova, Marian Sofranko, Peter Kacmary, Jaroslaw Brodny, Magdalena Tutak. A Case Study: Simulation Traffic Model as a Tool to Assess One-Way vs. Two-Way Traffic on Urban Roads around the City Center. Applied Sciences. 2021; 11 (11):5018.

Chicago/Turabian Style

Peter Bindzar; Janka Saderova; Marian Sofranko; Peter Kacmary; Jaroslaw Brodny; Magdalena Tutak. 2021. "A Case Study: Simulation Traffic Model as a Tool to Assess One-Way vs. Two-Way Traffic on Urban Roads around the City Center." Applied Sciences 11, no. 11: 5018.

Journal article
Published: 17 April 2021 in Sustainability
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The warehouse process, as one of many logistics processes, currently holds an irreplaceable position in logistics systems in companies and in the supply chain. The proper function of warehouse operations depends on, among other things, the type of the used technology and their utilization. The research in this article is focused on the design of a warehouse system. The selection of a suitable warehouse system is a current research topic as the warehouse system has an impact on warehouse capacity and utilization and on the speed of storage activities. The paper presents warehouse system design methodology that was designed applying the logistics principle-systematic (system) approach. The starting point for designing a warehouse system represents of the process of design logistics systems. The design process consists of several phases: project identification, design process paradigm selection, system analysis, synthesis, and project evaluation. This article’s contribution is the proposed methodology and design of the warehouse system for the specified conditions. The methodology was implemented for the design of a warehouse system in a cold box, which is a part of a distribution warehouse. The technology of pallet racking was chosen in the warehouse to store pallets. Pallets will be stored and removed by forklifts. For the specified conditions, the warehouse system was designed for two alternatives of racking assemblies, which are served by forklifts. Alternative 1—Standard pallet rack with wide aisles and Alternative 2—Pallet dynamic flow rack. The proposed systems were compared on the basis of selected indicators: Capacity—the number of pallet places in the system, Percentage ratio of storage area from the box area, Percentage ratio of handling aisles from the box area, Access to individual pallets by forklift, Investment costs for 1 pallet space in EUR. Based on the multicriteria evaluation, the Alternative 2 was chosen as the acceptable design of the warehouse system with storage capacity 720 pallet units. The system needs only two handling aisles. Loading and unloading processes are separate from each other, which means that there are no collisions with forklifts. The pallets with the goods are operated on the principle of FIFO (first in, first out), which will facilitate the control of the shelf life of batches or series of products. The methodology is a suitable tool for decision-making in selecting and designing a warehouse system.

ACS Style

Janka Saderova; Andrea Rosova; Marian Sofranko; Peter Kacmary. Example of Warehouse System Design Based on the Principle of Logistics. Sustainability 2021, 13, 4492 .

AMA Style

Janka Saderova, Andrea Rosova, Marian Sofranko, Peter Kacmary. Example of Warehouse System Design Based on the Principle of Logistics. Sustainability. 2021; 13 (8):4492.

Chicago/Turabian Style

Janka Saderova; Andrea Rosova; Marian Sofranko; Peter Kacmary. 2021. "Example of Warehouse System Design Based on the Principle of Logistics." Sustainability 13, no. 8: 4492.

Journal article
Published: 29 September 2020 in Sustainability
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This article is devoted to modelling of the extracted raw material removal from a mining area to the entry point for the next technological process. Two approaches were chosen for the process modelling. The first approach is regarded to traffic modelling by using available mathematical equations, based on capacity conversion and calculation of loading equipment efficiency. The second approach of modelling is computer simulation within the simulation system ExtendSim8. The modelling of the transport system and the determination of its efficiency were performed at the same conditions. The examined transport system was consisted of two lorries and one loader. The article presents the results of calculations and the results of simulation experiments, which also verified the results obtained by calculations. Calculations of the transport system performance and simulation experiments were performed for two time periods, for a time of 1 h and 6 h during a shift from three different loading places, which were 500, 1100 and 1450 m away from a place of unloading. The results obtained by both approaches are comparable. The main contribution, novelty, of this article is the modelling of the process in a quarry operation (loading and removal of mineral resources) not only on the basis of available mathematical formulas but also the application of simulation in the simulation tool EXTENDSim8, performing simulation experiments for specified conditions and their comparison with calculated values. Simulation is a suitable tool for determining and subsequently planning of the performance of both existing and projected transport systems.

ACS Style

Janka Saderova; Andrea Rosova; Peter Kacmary; Marian Sofranko; Peter Bindzar; Tomasz Malkus. Modelling as a Tool for the Planning of the Transport System Performance in the Conditions of a Raw Material Mining. Sustainability 2020, 12, 8051 .

AMA Style

Janka Saderova, Andrea Rosova, Peter Kacmary, Marian Sofranko, Peter Bindzar, Tomasz Malkus. Modelling as a Tool for the Planning of the Transport System Performance in the Conditions of a Raw Material Mining. Sustainability. 2020; 12 (19):8051.

Chicago/Turabian Style

Janka Saderova; Andrea Rosova; Peter Kacmary; Marian Sofranko; Peter Bindzar; Tomasz Malkus. 2020. "Modelling as a Tool for the Planning of the Transport System Performance in the Conditions of a Raw Material Mining." Sustainability 12, no. 19: 8051.

Journal article
Published: 14 August 2020 in Energies
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Uranium is one of the strategic minerals used mainly in energetics. The main purpose of uranium mining is to achieve maximum production to meet the rapidly growing demand for energies. It needs to become aware that technological progress in mining processes could significantly reduce the negative impacts associated with environmental, economic, and social risks. Uranium mining is one of the most controversial topics. It is dealt with by many experts and scientists around the world. Various methods and technologies of uranium mining are encountered in professional journals, as well as political or socio-economic decisions based on the impact and importance of the energy potential of uranium deposits, or the environmental impacts of uranium mining. The deposit of Kuriskova is one of the most perspective deposits not only in Slovakia but also in the world. The deposit is located near the town of Kosice (with near 240,000 inhabitants) and near the recreational area of Jahodna in the east of the Slovak Republic. The analysis and determination of the energy potential of the deposit of Kuriskova shows that uranium reserves from this deposit would be able to fully cover the needs for nuclear power plants for the production of nuclear fuel, in the Slovak Republic, even in the longer term. With the above-mentioned energy potential of the deposit of Kuriskova at the level of 600 TWh, nuclear power plants in the Slovak Republic are able to be supplied with raw materials from the deposit of Kuriskova for about 40 years with the current amount of electricity produced (approx. 15 TWh). Therefore, for the purposes of this research, a proposal for the extraction of uranium reserves at the deposit of Kuriskova was made. Based on it, it is possible to determine the amount of recoverable uranium reserves from the deposit. A methodology has been determined with mining this proposal, which takes into account the basic criteria of uranium deposit mining, which was used for the selection of a suitable mining technology for the uranium deposit of Kuriskova.

ACS Style

Marian Sofranko; Samer Khouri; Olga Vegsoova; Peter Kacmary; Tawfik Mudarri; Martin Koncek; Maxim Tyulenev; Zuzana Simkova. Possibilities of Uranium Deposit Kuriskova Mining and Its Influence on the Energy Potential of Slovakia from Own Resources. Energies 2020, 13, 4209 .

AMA Style

Marian Sofranko, Samer Khouri, Olga Vegsoova, Peter Kacmary, Tawfik Mudarri, Martin Koncek, Maxim Tyulenev, Zuzana Simkova. Possibilities of Uranium Deposit Kuriskova Mining and Its Influence on the Energy Potential of Slovakia from Own Resources. Energies. 2020; 13 (16):4209.

Chicago/Turabian Style

Marian Sofranko; Samer Khouri; Olga Vegsoova; Peter Kacmary; Tawfik Mudarri; Martin Koncek; Maxim Tyulenev; Zuzana Simkova. 2020. "Possibilities of Uranium Deposit Kuriskova Mining and Its Influence on the Energy Potential of Slovakia from Own Resources." Energies 13, no. 16: 4209.

Journal article
Published: 31 March 2020 in Polish Journal of Environmental Studies
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Our paper is focused on data evaluation about the full recycling of waste by special statistical software and by using the principles of logistics. The paper goes further than the paper entitled “Environmental assessment of waste recycling based on principles of logistics and computer...

ACS Style

Martin Straka; Marcela Taušová; Andrea Rosová; Michal Cehlár; Peter Kačmáry; Martin Sisol; Peter Ignácz; Csaba Farkas. Big Data Analytics of a Waste Recycling Simulation Logistics System. Polish Journal of Environmental Studies 2020, 29, 2355 -2364.

AMA Style

Martin Straka, Marcela Taušová, Andrea Rosová, Michal Cehlár, Peter Kačmáry, Martin Sisol, Peter Ignácz, Csaba Farkas. Big Data Analytics of a Waste Recycling Simulation Logistics System. Polish Journal of Environmental Studies. 2020; 29 (3):2355-2364.

Chicago/Turabian Style

Martin Straka; Marcela Taušová; Andrea Rosová; Michal Cehlár; Peter Kačmáry; Martin Sisol; Peter Ignácz; Csaba Farkas. 2020. "Big Data Analytics of a Waste Recycling Simulation Logistics System." Polish Journal of Environmental Studies 29, no. 3: 2355-2364.

Journal article
Published: 18 December 2019 in Open Engineering
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Demand forecasting is very often used in production planning, especially, when a manufacturer needs in a longer production cycle to respond flexibly to market demands. Production based on longer-term forecasts means bearing the risk of forecast unreliability in the form of finished product inventory deficit or excess. The use of computer simulation allows us to improve the planning process and optimise the plan for the intended goal. This paper presents the use of quantitative forecasting and computer simulations to create the production plan. Two approaches to production plan creation are demonstrated in a model case study. Products are characterized by varying demand and are produced on a single production line in continuous operation. The first approach uses ARIMA(2,0,2) (Auto-Regressive Integrated Moving Average) prognostic method selected as the most reliable method based on MAPE (Mean Absolute Percent Error). The second method applies Monte Carlo simulations and optimisation. The aim of the plan optimisation is minimisation the total costs connected with line rebuilding and storage of products. The comparison of the two approaches shows that planning using computer simulations and optimisation leads to lower total costs.

ACS Style

Jana Fabianova; Peter Kacmary; Jaroslava Janekova. Operative production planning utilising quantitative forecasting and Monte Carlo simulations. Open Engineering 2019, 9, 613 -622.

AMA Style

Jana Fabianova, Peter Kacmary, Jaroslava Janekova. Operative production planning utilising quantitative forecasting and Monte Carlo simulations. Open Engineering. 2019; 9 (1):613-622.

Chicago/Turabian Style

Jana Fabianova; Peter Kacmary; Jaroslava Janekova. 2019. "Operative production planning utilising quantitative forecasting and Monte Carlo simulations." Open Engineering 9, no. 1: 613-622.

Journal article
Published: 01 December 2019 in Management Systems in Production Engineering
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This article describes the design of a simple forecasting system and its practical application to predict the sporadic needs for a spare part. The article shows new approach already implemented in the special servicing and production company in Slovakia and its results during a short period of performance after its implementation. Such a proposed model can be a part of the purchase planning of spare parts within the company’s logistics system. In some companies, the material flow of spare parts is dominant element in terms of logistics costs. Their management is therefore important for cost optimization, customer satisfaction and market sustainability in a competitive environment. The article, in its introductory part, provides an overview of similar practical solutions within the research of this topic, but many models are designed to be applied in a global market environment and predict the amount of spare parts needed in different industries. However, these models are difficult to use for the needs of a small enterprise, because the main problem lies in the time of a spare part demand rather than its quantity. If there is a need for a specific spare part, which costs several hundred or thousands of euros, but the consumption is only a few pieces per year or more than a year, the time prediction of required spare parts is therefore crucial.

ACS Style

Peter Kačmáry; Dušan Malindžák; Ján Spišák. The Design of Forecasting System Used for Prediction of Electro-Motion Spare Parts Demands as an Improving Tool for an Enterprise Management. Management Systems in Production Engineering 2019, 27, 242 -249.

AMA Style

Peter Kačmáry, Dušan Malindžák, Ján Spišák. The Design of Forecasting System Used for Prediction of Electro-Motion Spare Parts Demands as an Improving Tool for an Enterprise Management. Management Systems in Production Engineering. 2019; 27 (4):242-249.

Chicago/Turabian Style

Peter Kačmáry; Dušan Malindžák; Ján Spišák. 2019. "The Design of Forecasting System Used for Prediction of Electro-Motion Spare Parts Demands as an Improving Tool for an Enterprise Management." Management Systems in Production Engineering 27, no. 4: 242-249.

Journal article
Published: 08 July 2019 in Polish Journal of Environmental Studies
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Our paper deals with the solution of ecological flood-type accidents and the mitigation of their impacts during their occurrence. The main task is to defeat an accident on a watercourse as soon as possible, efficiently and economically, by arranging a floating boom. Closer specifications of the paper involve the technical use of floating booms and the calculation of the resistance force, which influences the application of a floating boom at a given current velocity. The calculations show that flow and size of a river flow has a direct effect on the size of the force that impinges on a barrage. The maximum river flows are in the time of January and February. The smallest river has flow of about 2.346 m3s-1 in this time, and the biggest river has a flow of 28.88 m3s-1 in defined time.

ACS Style

Oľga Végsöová; Samer Khouri; Martin Straka; Andrea Rosova; Peter Kačmáry; Miroslav Betuš. Using Technical Means and Logistics Principle Applications to Solve Ecological Water Course Accidents. Polish Journal of Environmental Studies 2019, 28, 3875 -3883.

AMA Style

Oľga Végsöová, Samer Khouri, Martin Straka, Andrea Rosova, Peter Kačmáry, Miroslav Betuš. Using Technical Means and Logistics Principle Applications to Solve Ecological Water Course Accidents. Polish Journal of Environmental Studies. 2019; 28 (5):3875-3883.

Chicago/Turabian Style

Oľga Végsöová; Samer Khouri; Martin Straka; Andrea Rosova; Peter Kačmáry; Miroslav Betuš. 2019. "Using Technical Means and Logistics Principle Applications to Solve Ecological Water Course Accidents." Polish Journal of Environmental Studies 28, no. 5: 3875-3883.

Journal article
Published: 01 August 2016 in Manufacturing Technology
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The situation of analysis and finding solution of unique material flow managing and planning in production company allows increasing the competitiveness company on the market. The uniqueness of the material flows is in its combination of metal...

ACS Style

Martin Straka; Peter Kačmáry; Andrea Rosová; Boris Yakimovich; Aleksandr Korshunov. Model of Unique Material Flow in Context with Layout of Manufacturing Facilities. Manufacturing Technology 2016, 16, 814 -820.

AMA Style

Martin Straka, Peter Kačmáry, Andrea Rosová, Boris Yakimovich, Aleksandr Korshunov. Model of Unique Material Flow in Context with Layout of Manufacturing Facilities. Manufacturing Technology. 2016; 16 (4):814-820.

Chicago/Turabian Style

Martin Straka; Peter Kačmáry; Andrea Rosová; Boris Yakimovich; Aleksandr Korshunov. 2016. "Model of Unique Material Flow in Context with Layout of Manufacturing Facilities." Manufacturing Technology 16, no. 4: 814-820.