Iskanje po katalogu digitalne knjižnice

Opis: The paper addresses the optimal bus stops allocation in the Laško municipality. The goal is to achieve a cost reduction by proper re-designing of a mandatory pupils' transportation to their schools. The proposed heuristic optimization algorithm relies on data clustering and Monte Carlo simulation. The number of bus stops should be minimal possible that still assure a maximal service area, while keeping the minimal walking distances children have to go from their homes to the nearest bus stop. The working mechanism of the proposed algorithm is explained. The latter is driven by three-dimensional GIS data to take into account as much realistic dynamic properties of terrain as possible. The results show that the proposed algorithm achieves an optimal solution with only 37 optimal bus stops covering 94.6 % of all treated pupils despite the diversity and wideness of municipality, as well as the problematic characteristics of terrains' elevation. The calculated bus stops will represent important guidelines to their actual physical implementation.
Ključne besede: logistics, maximal covering problems, optimization, data clustering, Monte Carlo simulation, geographic information system (GIS), reduction of transportation costs, Laško, Slovenia
Objavljeno v DKUM: 22.08.2024; Ogledov: 35; Prenosov: 9
Celotno besedilo (2,40 MB)
Gradivo ima več datotek! Več...

Opis: The main goal of the master's thesis was the analysis of air resistance on the body in motion in a model that does not require solving the Navier-Stokes equations, but works on the basis of mechanics and statistical physics. The model was a Monte Carlo (MC) simulation of the motion of ideal gas molecules in a closed container in which a body was placed, moving along one of the axes. For the most part of calculations, the approach was used when the body was fixed in the middle of the simulation cell, and one of the components of the molecular velocity had an additional term that simulated the flow, as if the body was moving at this speed in the opposite direction. First of all, a linear dependence of the drag force on speed was found for low flow speed for a flat plate, which was predicted by linear drag law. For high molecular flow rates, the quadratic dependence predicted by the Bernoulli equation was clearly observed. The results of calculating the corresponding resistivity coefficients for the flat plate were in agreement with the analytical values for both regimes of speeds. By analogy, a simulation was made for a spherical body, which also demonstrated a strong quadratic dependence at high speeds and the drag coefficient value is approximately equal to the analytical one. In the following, we studied systematically ellipsoids with circular cross-section, where we varied the ratio between semiaxes in the direction of motion and perpendicular direction, respectively. The results for the ellipsoid showed that the drag coefficient value is maximum for a flat plate (a limiting case of an ellipsoid, when the semiaxis in the direction of motion tends to 0) and decreases with stretching of the body along the flow axis. When the Maxwell distribution of molecular speeds that was mainly used was replaced with uniform Root-Mean-Square (RMS) speed the results for drag coefficient were slightly different.
Ključne besede: Air resistance, drag force, quadratic drag law, drag coefficient, Monte Carlo (MC) simulation, Maxwell distribution.
Objavljeno v DKUM: 13.10.2021; Ogledov: 1038; Prenosov: 64
Celotno besedilo (1,64 MB)

Opis: The subsequent bachelor’s thesis comprises an investment report with equity valuation of Krka, d.d. company, the largest Slovenian company and one of the leading generic pharmaceutical companies in region. Overall, the financial sector is coping with low interest rates and more and more investors are willing to enter the capital markets directly. The Slovenian equity markets was struggling to pick up the pace after the last major financial crisis, which was almost 10 years ago. The bull trend in other major and biggest markets in the world is on to set new records day by day. We try to find out if the company under scrutiny is attractive for investors and what upside potential it has in the future. The analysis is presented trough most appropriate, popular and renowned techniques that surround equity research and is followed by the creation of final recommendation. Those are Discounted Cash Flow (DCF), Economic Value Added (EVA), Dividend Discount Model (DDM), Relative Multiples Valuation (RMV). Additionally, the approaches like Porter’s five forces analysis, SWOT analysis, Sensitivity analysis, Altman Z-score, Piotroski F-score, Beneish M-score, and Monte Carlo Simulation (MSC) were made. Since equity markets provide a bigger risk for investors, we try to investigate how risky is a particular company and sector. The investment risks and Weighted Average Cost of Capital (WACC) will help us do that. Risks and the future business surrounding also include macroeconomic analysis, which is also performed and helps us understand the topic under discussion better.. The key part of the thesis presents the building of financial valuation model with many variables and weighting it accordingly. The final fair value price is set and commented. In the conclusion, we summarise all our findings. Furthermore, some relevant facts are exposed and projected into the forecasted period. At the end we can conclude that the Value-based Management (VBM) gives clear result and projects a path for future development. The company that was used for the research is a perfect example how VBM methods used for valuation can provide us with broader picture and inform investors about the company. On the other hand, the methods can also provide a large source of information that can be useful to the company’s management.
Ključne besede: Macroeconomic analysis, valuation methods, Monte Carlo simulation, intrinsic value, risk profile
Objavljeno v DKUM: 30.11.2017; Ogledov: 3049; Prenosov: 312
Celotno besedilo (5,11 MB)

Opis: The paper addresses the problem of optimal bus stop allocation. The aim is to achieve reduction of costs on account of appropriate re-design of the process of obligatory transportation of children from their homes to the corresponding schools in the Laško municipality. The proposed algorithm relies on optimization based on the Monte Carlo simulation procedure. The number of calculated bus stops is required to be minimal possible, which can still assure maximal service area within the prescribed radius, while keeping the minimal walking distances pupils have to go across from their homes to the nearest bus stop and vice versa. The main issues of the proposed algorithm are emphasised and the working mechanism is explained. The presentation of calculated results is given and comparison with some other existing algorithms is provided. The positions of the calculated bus stops are going to be used for the purpose of physical bus stops implementation in order to decrease the current transportation costs.
Ključne besede: location problems, maximal covering problems, optimization, Monte Carlo simulation
Objavljeno v DKUM: 05.06.2017; Ogledov: 1317; Prenosov: 390
Celotno besedilo (1,01 MB)
Gradivo ima več datotek! Več...

Ključne besede: location, problems, maximal covering problems, optimization, Monte Carlo simulation, geographic information system (GIS), reduction of transportation costs, ArcLogistics
Objavljeno v DKUM: 05.06.2012; Ogledov: 2982; Prenosov: 124
Povezava na celotno besedilo