Pavel Vazan

Data Mining Model Building as a Support for Decision Making in Production Management

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.

Simulation of Photon Propagation in Tissue Using Matlab

Abstract 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.

Duffing-Type Oscillator with a Bounded from above Potential in the Presence of Saddle-Center Bifurcation and Singular Perturbation: Frequency Control

We analyze the dynamics of the forced singularly perturbed differential equations of Duffing’s type with a potential that is bounded from above. We explain the appearance of the large frequency nonlinear oscillations of the solutions. It is shown that the frequency can be controlled by a small parameter at the highest derivative.

Pattern Recognition for Predictive Analysis in Automotive Industry

Predictive maintenance (PdM) techniques are designed to help identify the condition of devices in order to predict when maintenance should be performed. The ultimate goal of PdM is to perform maintenance at a scheduled point in time when the maintenance activity is most cost-effective and before the equipment loses performance within a threshold. Currently, reducing service costs and losses due to downtime is one of the ways to increase your profits and success in the market. We tried to identify problem messages and failures from the manufacturing data example set from car body work. Two different data sets were joined and we designed a process to identify message and failure alerts preceding errors.

The impact of reducing setup costs on the lot size and objectives of manufacturing

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.

Mathematical Approach to Security Risk Assessment

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 ntheir 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 nof the protected objects, their security features, and the probability of the penetration, we propose a model of risk mitigation and effective decision making.

The integration of processes within IT resources control

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.

Using Text Mining Methods for Analysis of Production Data in Automotive Industry

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.

Implementation of manufacturing resource planning issues in practice

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.

A Heat Transfer Approach to the Calculation of Residual Power of Used Nuclear Fuel

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.