Browsing by Subject "uncertainty"
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Item type:Thesis, Access status: Restricted , Analiza ryzyka i niepewności geologiczno-górniczego projektu zagospodarowania złoża rud cynku i ołowiu „Laski”(Data obrony: 2013-07-25) Kulig, Marcin
Wydział Geologii, Geofizyki i Ochrony ŚrodowiskaZłoże rud cynku i ołowiu „Laski” usytuowane jest w województwie małopolskim, we wschodniej części Wyżyny Śląsko-Krakowskiej. Z weryfikacji zasobów wynika, że złoże „Laski” można rozpatrywać pod względem przyszłego zagospodarowania. W pracy omówiono najważniejsze czynniki ryzyka i źródła niepewności pojawiające się w inwestycjach górniczych. Przedstawiono techniki oceny ekonomicznej projektów surowcowych oraz określono metody wyceny aktywów geologiczno-górniczych. Przeprowadzono również symulację Monte Carlo z wykorzystaniem programu @RISK w celu analizy ryzyka i niepewności zagospodarowania złoża rud cynku i ołowiu „Laski”. Uzyskane wyniki ukazują ryzyko finansowe, które może być mierzone jako prawdopodobieństwo niepowodzenia przedsięwzięcia inwestycyjnego.Item type:Article, Access status: Open Access , Controlling of logistics projects(AGH University of Science and Technology Press, 2011) Pisz, IwonaA logistics project can be defined as a complex, special and unique sets of activities which can be described by technical and economic parameters and is determined by cost, time, and scope in order to aid logistics management in enterprise/supply chain. Controlling of the logistics project is process of measuring progress toward an objective, evaluating what remains to be done, and taking the necessary corrective tasks to achieve or exceed the objectives of the logistics project. This paper describes the idea of logistics projects. The controlling of logistics projects is discussed. In the paper tools dedecated for controlling of logistics projects are presented. The tools can be applied to the controlling process to support the management of logistics projects.Item type:Article, Access status: Open Access , Identification of probability distribution form for results of sound level measurements(2013) Batko, Wojciech; Przysucha, BartoszThe authors focus their attention on the identification of the probability distribution density function of the sound level, which constitutes the basis for the proper statistical inferences and uncertainty assessments in the environment acoustical hazard control. Their functional form is a metric for the analysis of acoustical measurement results burdened with random errors. Its proper selection conditions the rightness of statistical inferences in relation to the analysed noise effect. The problem of identification of the noise level probability distribution form was presented on the grounds of the sound LA level monitored at one of the main streets in Lublin. The analysis of differences and references to the normal distribution form, commonly applied to statistical analysis of the acoustical measurement results, was carried out. It is the aim of the authors, that the presented results should become the basis of a broader discussion concerning new estimation procedures of the controlled noise indicators and their uncertainty assessment. Also new verification procedures of the rightness of model acoustical formalisms, assumed in numerous environment acoustic investigations, are required.Item type:Article, Access status: Open Access , Modelling uncertainty in an advisory system for mining works planning in hard coal mines(2012) Brzychczy, EdytaW artykule przedstawiono rozważania na temat opisu niepewności w bazie wiedzy systemu doradczego projektowanego dla potrzeb planowania robót przygotowawczych i eksploatacyjnych w kopalniach węgla kamiennego. W pracy dokonano przeglądu wybranych modeli odwzorowania niepewności w systemach ekspertowych oraz ogólną charakterystykę projektowanego systemu doradczego. Przedstawiono również wybrany sposób opisu niepewności w projektowanym systemie doradczym w aspekcie pozyskiwania wiedzy z danych.Item type:Thesis, Access status: Restricted , Ocena stanu chemicznego wód w zlewni Raby z wykorzystaniem niepewności oznaczeń(Data obrony: 2013-09-17) Szpindor, Klaudia
Wydział Geologii, Geofizyki i Ochrony ŚrodowiskaThe paper presents a point and area assessing of chemical water in catchment of Raba, taking into account uncertainty. Five indicators were analyzed: pH, Fe, NO3, NH4 and Mn. The data used in this paper are the results of research carried out in 2007 for the 14 monitoring points (Kmiecik,2007-2011). However, the selection of indicators has been made on the basis of a thesis Mrs. Paulina Sroka (Sroka, 2012). Comparing deterministic and probabilistic methods (including uncertainties) notes not a big difference. In the remaining chapters shows work: legislation regulating the issue groundwater, characteristic the study area, and methodologies for assessing the chemical status of groundwater.Item type:Article, Access status: Open Access , Operations Research in Municipal Solid Waste Management: Decision-Making Problems, Applications, and Research Gaps(Wydawnictwa AGH, 2021) Gdowska, KatarzynaMunicipal Solid Waste Management (MSWM) represents a complex, multi-level decision domain that involves strategic, tactical, and operational planning under economic, environmental, and social constraints. This paper reviews the state of Operations Research (OR) applications to MSWM. The analysis encompasses optimization, simulation, metaheuristic, and hybrid approaches that address decision problems ranging from facility siting and capacity expansion to routing and scheduling. The study classifies OR contributions across decision levels, identifying methodological patterns and dominant model types such as mixed-integer programming, metaheuristics, and simulation-optimization frameworks. Despite significant progress in optimization and the integration of sustainability, critical gaps remain in uncertainty modeling, system-wide integration, and data-driven decision support. Deterministic formulations prevail at the strategic and tactical levels, while uncertainty is mainly explored in operational routing. Cross-level coordination among infrastructure planning, fleet design, and daily operations remains underdeveloped. Furthermore, persistent data scarcity and the limited incorporation of behavioral factors constrain the practical applicability of OR models. The review concludes with a research agenda that advocates for multi-level, uncertainty-aware, and dynamic optimization frameworks, supported by standardized data infrastructures and behavioral insights.Item type:Book Chapter, Access status: Open Access , Organizational Agility in Time of Uncertainty on Example of Game Industry Enterprises in Poland(Wydawnictwa AGH, 2023) Żak, KatarzynaThe COVID-19 pandemic made the world of science and business turn its attention to the turbulence of the environment in which enterprises operate. Uncertainty, high dynamics of changes and the complexity of the business environment make it increasingly difficult to find the right recipe for success. The solution that many entities reach for is agility. Agility is the ability to deal with volatility and uncertainty. Agile enterprises build their success on resource flexibility and the ability to adapt to changes. Based on the literature on the subject, the paper presents selected definitions of agility and indicates the features of an agile organization. Due to the pandemic situation, many sectors and businesses are facing a serious crisis. The game industry is one of few exceptions because forced stay at home due to lockdown increased the interest in games as a form of spending time both among adults (increase by 31%) and children (increase by 39%). Selected characteristics of the game industry enterprises in Poland in 2020 are presented in this context. In many cases, they undoubtedly perform excellent in the pandemic reality. Due to their financial results and the implemented business practices – they are an example of agile organizations.Item type:Article, Access status: Open Access , Rule modeling of ADI cast iron structure for contradictory data(Wydawnictwa AGH, 2022) Soroczyński, Artur; Biernacki, Robert; Kochański, Andrzej WitoldDuctile iron is a material that is very sensitive to the conditions of crystallization. Due to this fact, the data on the cast iron properties obtained in tests are significantly different and thus sets containing data from samples are contradictory, i.e. they contain inconsistent observations in which, for the same set of input data, the output values are significantly different. The aim of this work is to try to determine the possibility of building rule models in conditions of significant data uncertainty. The paper attempts to determine the impact of the presence of contradictory data in a data set on the results of process modeling with the use of rule-based methods. The study used the well-known dataset (Materials Algorithms Project Data Library, n.d.) pertaining to retained austenite volume fraction in austempered ductile cast iron. Two methods of rulebased modeling were used to model the volume of the retained austenite: the decision trees algorithm (DT) and the rough sets algorithm (RST). The paper demonstrates that the number of inconsistent observations depends on the adopted data discretization criteria. The influence of contradictory data on the generation of rules in both algorithms is considered, and the problems that can be generated by contradictory data used in rule modeling are indicated.Item type:Thesis, Access status: Restricted , Szacowanie niepewności oznaczeń pH w wodach ze Zdroju Królewskiego w Krakowie(Data obrony: 2018-10-24) Kołacz, Maria
Wydział Geologii, Geofizyki i Ochrony ŚrodowiskaPrzedmiotem pracy była ocena niepewności pomiarów pH w wodach ze Zdroju Królewskiego w Krakowie. Badania pH przeprowadzono w terenie przez dwóch analityków, w próbkach normalnych i dublowanych, za pomocą miernika uniwersalnego. W pracy dokonano oszacowania niepewności oznaczeń pH dla pięciu wariantów danych, uwzględniając także wyniki badań archiwalnych. Szacowanie niepewności przeprowadzono metodą empiryczną z wykorzystaniem próbek kontrolnych dublowanych. Weryfikacji uzyskanych danych dokonano wykorzystując program IBM SPSS Statistics. Szacowanie niepewności wykonano metodą elastyczną–statystyk robust, wykorzystując specjalistyczny program ROBAN.
