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IoT systems are an integral part of every modern industrial enterprise Industry 4.0. IoT is the term for modern remote devices controlled via the Internet. Internet of Things is the name of technologies that allow cheap wireless connection and communication of various sensors and devices to automate, accelerate and streamline processes. In the interconnected world of Industry 4.0, there are many potential resources existing for infiltration. Cybercriminals could take control of manufacturing industries, manipulate machines, or could do an industrial espionage. This type of attack is called Denial of Service. In the second case, the attack preserves the attacker’s anonymity through an IP address by using a potentially innocent third party (a reflector) that is indirectly involved in the attack. Through this attack, the attacker forwards the flow of attacking data to the target victim. The attacker sends the packets with a fake spoof source IP address set to the victim’s IP address to the reflector, thus indirectly overloading the target with the packets, or it will intrude into a network device through a faulty WPS implementation. The simulation model of the production line and the IoT security system Fibaro were used to investigate these attacks. The article demonstrates the possibility of attacks on network devices and the misuse of IoT devices in order to compromise production machines which use DRDoS and Brute-force attacks.

The Industry 4.0 concept assumes that modern manufacturing systems generate huge amounts of data that must be collected, stored, managed and analysed. The case study is focused on predicting the manufacturing process behaviour according to production data. The paper presents the way of gaining knowledge about the future behaviour of manufacturing system by data mining predictive tasks. The proposed simulation model of the real manufacturing process was designed to obtain the data necessary for the control process. The predictions of the manufacturing process behaviour were implemented varying the input parameters using selected methods and techniques of data mining. The predicted process behaviour was verified using the simulation model. The authors analysed different methods. The neural network method was selected for deploying new data by PMML files in the final phases. The objectives of the research are to design and verify the data mining tools in order to support the manufacturing system control by aiming at improving the decisionmaking process. Based on the prediction of the goal production outcomes, the actual control strategies can be precisely modified. Then they can be used in real manufacturing system without risks.

The paper presents the outcome of a study that dealt with scheduling of operations and in particular with the impact of selected priority rules on production goals. The impact of the priority rules was examined on a simulation model of the smart flexible manufacturing system with interchangeable workplaces. These problems are characterized as job shop scheduling problems. The study documents the influence of the five selected priority rules FIFO (First in First out), EDD (Earliest Due Date), STR (Slack Time Remaining), STR/OP (Slack Time Remaining per Operation) and SQNO (Shortest Queue at the Next Operation) on chosen production objectives. The effect of applied priority rule has been studied at a different production system loading. The evaluation of experimental results and their synthesis conduce to the formulation of knowledge for the real use of these priority rules in the scheduling of operations.

This paper deals with proposal of a proactive simulation model for a hybrid production system with an integrated MES used for safety, security, control, maintenance and service training with equipment similar to one utilized in a real industrial process. A proactive planning methodology can use information about real time changes in input data used for planning and determine a revised plan and line control. The proposed proactive procedure in this paper demonstrates a way to acquire data from an existing manufacturing process, which will be used to reach a production plan based on a combination of a simulation model and data acquired from MES. The revised control procedure will be send back to the MES to update the manufacturing process.

Complex manufacturing systems control, involving contradictory production goals, is a challenge in spite of many multi-objective optimization decision-making strategies. In this article we demonstrate an application of the scalarization approach with a priori articulated preferences in the multiobjective optimization via discrete-event simulation in the field of the manufacturing product control. Especially, we focus on the effect of the used scalarizing multi-criteria function form combining all considering production goals using user-supplied weights. Four key performance indicators: costs per part unit, an average flow time, machines utilization and an amount of production for studied production system were finding by simulation in simulator Witness and optimized simultaneously under specific constraints. Metaheuristics like Thermoadaptive Simulated Annealing and Random Solutions and at last a brute force algorithm were used as optimization methods for finding global minimum of scalar functions generated by different methods of scalarization.

The goal of this paper is to provide a mathematical threat modeling methodology and a threat risk assessment tool that may assist security consultants at assessing the security risks in their protected systems/plants, nuclear power plants and stores of hazardous substances: explosive atmospheres and flammable and combustible gases and liquids, and so forth, and at building an appropriate risk mitigation policy. The probability of a penetration into the protected objects is estimated by combining the probability of the penetration by overcoming the security barriers with a vulnerability model. On the basis of the topographical placement of the protected objects, their security features, and the probability of the penetration, we propose a model of risk mitigation and effective decision making.

This paper presents design of portal that improves controlling of sales channel at initial conditions. The customer needed to display key performance indicators on the portal and thus significantly improve the efficiency of business processes after the deployment of Microsoft Dynamics CRM 2011. The aim of this paper is to choose appropriate technology to create a portal and design possible architecture of solution. Microsoft Dynamics CRM 2011 with Web Application Microsoft SharePoint platform provide a solution for process control of business processes in company that is primarily offered like as the best solution. On the other hand, we found the possibility of open source content management system DotNetNuke, which meets customer's requirements and therefore, there is a possibility to reduce financial costs when selecting this system. Finally, we evaluated considered technologies, prepared more price variations of architecture and compared advantages and disadvantages of these variations.

The paper deals with the problem of simulation optimization and presents its usage for input control in a production system. The paper gives an overview of typical concepts of input control. Authors propose different approaches. The basic principles of simulation optimization are explained. A general procedure with each step is defined and this procedure is explained by an example. The solution is focused on the minimization of the production costs, which is included in the objective function. Realization of the simulation optimization is based on the combination of three different algorithms: Adaptive Thermostatistical Simulated Annealing, Random Solution and All Combination algorithm. The proposed procedure definitely leads to exact determination of input interval for given production system and short time period.

In our paper, we have focused on data integration and transformation process in the automotive industry, with emphasis on production data collected from the shop floor. One of the main issues addressed, is that the data are not stored in a central data storage, but in individual devices and systems, utilising different data formats. Our paper briefly describes the main tasks, required to collect production data into the big data storage and transform them into a unified data structure. We have also provided results of the initial analyses that were performed on the integrated and transformed data set.

Text mining is the process of extracting useful and high-quality information from unstructured textual data through the identification and exploration of interesting patterns. Text mining also referred to as text data mining, roughly equivalent to text analytics. RapidMiner is unquestionably the world-leading open-source system for this analytics, it is the most powerful and easy to use. Acquiring information from text is a requested area of research in automotive industry. This paper aims at presenting the use of text mining in this industry field. The article is focused on working with text attributes “ResponsibleEmp”, which is crucial for text mining analysis. The outcome of this article is the number of breakdowns and name of a specific employee responsible for breakdowns. The presented analysis is provided as a partial result of the research and will serve to further investigation in the problem area.

In this paper, we develop a new method for determining the residual power of used nuclear fuel (UNF). The method is based on the heat transfer analysis of UNF in a C-30 transport container with a KZ-48 compact storage cask. We compare the results achieved by the currently used SCALE 6 software packages based on nuclear physics calculations and the results from our method.

The paper provides a view of Material Resource Planning implementation. The authors describe the MRP II implementation techniques and define the necessary requirements for its successful implementation. Possible practical implementation doubts are being pointed out on an actual real-world example. Issues can appear especially in the warm-up period of implementation. The rapid grow of inventory levels issue is particularly analyzed by the authors, who point out the inaccuracy in data in the given bills of materials and in particular the production output data provided by the shop floor. The newly implemented MRP II system reacts to these inaccurate data by acquiring more manufacturing material for production, which leads to the grow of inventory levels in a factory.

This paper points out the significance of setup costs reduction on the decrease of lot size. The authors demonstrate this phenomenon on a flexible manufacturing system simulation model. The research focus was to fully understand the relationships between the lot size and setup costs. The aim of research was to show an impact of lot size on the selected manufacturing objectives. For each series of experiments, the setup costs were continuously reduced, and then the optimal lot size was determined by simulation optimization. The procedure for lot size determination was proposed by the authors and is based on a simulation optimization method. The authors have expressed their hypothesis of the positive impact of the optimal lot size on the objective parameters fulfilment of a manufacturing system, especially the minimization of costs per unit, throughput time and work in progress and the maximization of number of finished products and machine utilization. The hypothesis was confirmed by the gained simulation experiment results.

This paper deals with the simulation of photon propagation in the maternal abdomen. Authors focused on the light transport, photon trajectory and their radiation in three-layer tissue. The main aim of this study is to observe the behaviour of photon in three-layer tissue. A simulation model has been implemented in Matlab. The photon interaction with tissue was observed. This model was realized for the project aimed to non-invasive pulse oximetry measurement of fetal oxygen saturation in the maternal abdomen. One of the fundamental challenges is to ensure a sufficient penetration depth which covers maternal and fetal tissue. This contribution investigates the photon trajectories and compares the results of specular reflectance, diffuse reflectance, absorbed fraction and transmittance in three-layer tissue with regard to the thickness of the third layer. Simulations have been performed at three depths fetal (2.5, 3.7, 4.9 cm).

The paper gives the results of the project that was oriented on the usage of knowledge discoveries from production systems for needs of the hierarchical process control. One of the main project goals was the proposal of knowledge discovery model for process control. Specifics data mining methods and techniques was used for defined problems of the process control. The gained knowledge was used on the real production system thus the proposed solution has been verified. The paper documents how is possible to apply the new discovery knowledge to use in the real hierarchical process control. There are specified the opportunities for application of the proposed knowledge discovery model for hierarchical process control., {"references":["","U. M. Fayyad, \"Data Mining and Knowledge Discovery: Making Sense Out of Data\". IEEE Expert/Intelligent Systems & Their Applications, \npp. 20–26, 1996.","U. M. Fayyad, G. Piatetski–Shapiro, G. P. Smyth, \"From Data Mining to Knowledge Discovery: An Overview\". Advances in Knowledge Discovery and Data Mining, MIT Press, pp. 1–37, 1996.","R. Halenar, \"Matlab Routines Used for Real Time ETL Method\". Applied Mechanics and Materials, pp. 2125-2129, 2012.","R. Halenar, \"Real Time ETL Improvement\". International Journal of Computer Theory and Engineering. vol. 4, no. 3, pp. 405-409, 2012.","J. Jadlovsky, \"Proposal of distribution control system of FMS\" \nin International Conference Cybernetics and Informatics, Vysna Boca 2010.","P. Mydlo, T. Skulavik, P. Schreiber, \"The fuzzy PI controller`s chosen parametres influence on the regulation process\" in Process Control 2010, University of Pardubice, pp. C055a1-8, 2010.","M. A. Schwarz, Introduction to software engineering for secure and reliable software – Einführung in die Softwaretechnik für sichere und verlässliche Software. Institut für Informatik im Paderbom, 2004.","A. Trnka, \"Classification and Regression Trees as a Part of Data Mining in Six Sigma Methodology\" in World Congress on Engineering and Computer Science, Hong Kong: International Association of Engineers, \npp. 449-453, 2010.","A.-W. Sheer, CIM Computer Integrated Manufacturing. Berlin: Springer-Verlag, 2011.\n\n "]}

The paper gives the next stages of the project that is oriented on the use of data mining techniques and knowledge discoveries from production systems through them. They have been used in the management of these systems. Production data was obtained in previous stages of project. This production data are stored in data warehouse that was proposed and developed by authors. Data mining model has been created by using specific methods and selected techniques for defined problems of production system management. The main focus of our article is the proposal of data mining model.

The paper gives the pilot results of the project that is oriented on the use of data mining techniques and knowledge discoveries from production systems through them. They have been used in the management of these systems. The simulation models of manufacturing systems have been developed to obtain the necessary data about production. The authors have developed the way of storing data obtained from the simulation models in the data warehouse. Data mining model has been created by using specific methods and selected techniques for defined problems of production system management. The new knowledge has been applied to production management system. Gained knowledge has been tested on simulation models of the production system. An important benefit of the project has been proposal of the new methodology. This methodology is focused on data mining from the databases that store operational data about the production process.

The article provides the general overview and base proposal of solution in the area of controlling the IT resources within the company. It points out some common deficits of integrating systems and running data transfers. Lack of functionality in some large systems is supplemented by using interim database and proposed SQL processing prior to data loads. Interim database is also used for storing the import result status and log functionality.

The today's determination of residual power of nuclear fuel in containers bases on differential equations, which describe the creation and the destruction of nuclides in the fuel. The Nuclear Regulatory of Slovak Republic requires the verification of present methodology alternatively. The new methodology and achieved results in determination of residual power of spent nuclear fuel by temperature measuring of the container are described in this article. The solution bases on modeling and simulation: The container without fuel was heated by electrical resistant spirals with known electrical power, which simulates the residual power of the transported nuclear fuel. The temperature of defined points of the container’s surface and in environment was measured. The measured data were used for the design of the thermic mathematical model of the container. This model can be backwards used for the determination of the power of transported fuel in real container's operation.

This paper deals with the light transport, photon trajectory and its radiation in tissue. A model based on Monte Carlo simulation has been implemented in Matlab to get inside into photon interaction with tissue. The project is aimed to non-invasive pulse oximetry measurement of fetal oxygen saturation in the maternal abdomen. One of the fundamental challenges is to ensure a sufficient penetration depth which covers maternal and fetal tissue. This contribution investigates the photon trajectories and analyse the number of photons which stayed in tissue and their radiation distribution. The principle and photon propagation rules, needed for simulation, are presented in this article. Finally the results are compared with literature.