Wyniki wyszukiwania - BazTech

1

Selected methods of project and data analysis

Gembalska-Kwiecień Anna

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

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2022

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z. 161

7--22

EN

Purpose: Presentation of selected methods of project and data analysis - describes how data on ongoing projects should be collected, so that it can be used later, by applying the appropriate methodology. Design/methodology/approach: Literature research of the subject was carried out. Finding: Having a methodology for data collection leads, in the long term, to the implementation of a system that allows the use of this methodology. The system should provide information to help make better decisions, reducing or eliminating the risk of project failure. Practical implications: Development of a methodology of data collection and analysis on this basis. Originality/value: The implemented projects are comparable with each other and, on this basis, it can be argued that identifying the risks that have occurred in the past, during the implementation of various stages of projects, can contribute to more effective risk management during the implementation of current and future projects.

2

Decision procedure of the choice of statistical analysis method of repeated measurements data

Kubik-Komar A., Kuna-Broniowska I.

Logistyka

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2015

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nr 5

263--269, CD1

EN

In the integrated logistics and marketing management the company increasingly adopting the results of modern industrial experiments. The paper presents the principle of selecting one of these types statistical analysis method. The aim of the study was to determine the conditions for application of a few selected methods for analyzing of repeated measurements data and to develop procedures for dealing with decisionmaking process of choosing one of them. Analysis of this type of data is often carried out in an irregular manner, in particular correlations between measurements are not always taken into account. Three basic parametric methods for the analysis of such data were considered and discussed. The decisional procedures for the methods of analysis with repeated measurements are presented graphically in the form of a diagram. The developed procedures for handling enriched with practical tips for choosing the methods of data analysis with repeated measurements, which were formulated in the form of conclusions.

PL

W zintegrowanym zarządzaniu logistyczno–marketingowym kierownictwo przedsiębiorstwa coraz częściej wykorzystuje wyniki nowoczesnych eksperymentów przemysłowych. W pracy przedstawiono zasady wyboru metody analizy statystycznej wyników jednego z tego typu eksperymentów. Celem pracy było określenie uwarunkowań do stosowania kilku wybranych metod analizy danych z powtarzanych pomiarów oraz opracowanie procedury postepowania przy procesie decyzyjnym wyboru jednej z nich. Analiza tego typu danych jest często prowadzona w sposób nieprawidłowy, w szczególności korelacje pomiędzy pomiarami nie zawsze są brane pod uwagę. W pracy omówiono trzy podstawowe parametryczne metody analizy danych tego typu. Ścieżkę decyzyjną procedury wyboru metody analizy danych z powtarzanymi pomiarami zaprezentowano graficznie w postaci schematu. Opracowaną procedurę postepowania wzbogacono o praktyczne wskazówki dotyczące wyboru metody analizy danych z powtarzanymi pomiarami, które sformułowano w postaci wniosków.

3

Non-destructive methods into health monitoring of tall type buildings operating into hazardous environment

Saidov K., Szpytko J.

Journal of KONES

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2014

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Vol. 21, No. 4

425--432

EN

The paper is focusing on selected problems of health monitoring of tall type buildings. The actual problem in structural health monitoring (SHM) is to find the damages and its location by performing some statistical pattern recognition based on the measured data termed as feature extraction. The damage caused by environmental loads should be repaired; otherwise, it will expand with time and might lead to complete system failure. Dynamic parameters, such as velocity, acceleration and displacement, play a significant role in determining the structure dynamics. This paper is focusing on smart wireless sensors application into health monitoring systems of tall type buildings operating into hazardous environment and selected methods for data analysis obtained from the monitoring system. Smart sensors can locally process measured data and transmit only the significant information via wireless communication. As a network, wireless sensors extend the capability. Significant future developments of smart wireless sensors technology in tall type buildings in hazardous environment come by way of multi-disciplinary research efforts encompassing fields such as data analysing, signal processing, structural dynamics, motion and environmental sensing hardware, computational hardware, smart materials, data telemetry and statistical pattern recognition, as well as other fields yet to be defined. Specification issues that require automation of the decision making process in the evaluation of the technical state of the tall type structure have been also discussed.