Diploma work focuses on the application of logistics in a real manufacturing enterprise. Theoretical chapters define terms like logistics, logistic chain and describe individual segments in the logistic chain from developing, purchasing, manufacturing process to warehousing and distribution. Company Indoorcycling Group is introduced in the third chapter. The company deals with production of stationary bicycles and their accessories. After the characterization of the company, individual logistic processes are analyzed. According to detection of problems in the logistic chain, various solutions for the optimalization are suggested.

The Master’s thesis focuses on logistics and inventory management, which is integral part of every production oriented economic activity. It deals with methods used to lower expenditures blocked in inventory, storage instruments and transportation for company.

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Logistic systems manage the flow of materials and information of companies and they are a relevant component in every sector. For this reason, the efficient design and the optimization of these systems is a necessary, but non-trivial, activity especially in the sectors most affected by the COVID-19 pandemic, like healthcare and e-commerce. These two are also characterised by a significant social sustainability impact. In particular, the healthcare sector focuses on the improvement of its service quality to enhance the patients satisfaction while e-commerce platforms must consider the drivers condition in their business to deliver goods in an ethical way. For this reason, the activities of this PhD aim at designing and optimizing the logistic systems of different real-world companies taking into account simultaneously multiple conflicting aspects. In the first PhD project, the research activity consists in the design of efficient systems for massive healthcare processes, such as the vaccination against COVID-19, in South Tyrol region. To reach this goal, a digital twin of the vaccination centre is developed through a NFC-based technology composed by common smartphones and card-size badges. This digital twin is based on a software architecture composed by a developed mobile application, which records time information of each process phase and sends this data to a central database, as well as a developed website which elaborates this data and reports dynamically the performance of the healthcare structure and the possible issues. This continuous exchange of information between the physical and the digital system supports practitioners in improving the quality of this healthcare service and increasing the patients satisfaction. In the second addressed PhD project, the focus moves to an outdoor logistic process, i.e. the distribution of goods in a real-world local e-commerce platform. To solve this problem, its mathematical model is defined and a multi-objective metaheuristic algorithm is developed since all the three aspects of sustainability (costs, environment and fairness) must be optimized simultaneously. This algorithm is tested in a real-world e-commerce platform, providing managers with a helpful decision-support system called Pareto frontier which includes all the optimal solutions of the targeted problem. Finally, the last PhD research activity carried out integrates different features of both the previous ones since it regards the optimization of the logistic system of a healthcare service, i.e. the transportation of dependent patients. Therefore, the mathematical model is formulated and an Adaptive Large Neighbourhood Search (ALNS) algorithm is developed to solve the problem efficiently. Also this project is validated with a real-world case study, provided by the Austrian Red Cross, and the results compare different configuration to support managers in finding the best one. In particular, different degree of time window violation, type of shifts and mix of vehicles are tested to define the most convenient situation both for patients, in terms of service quality, and for healthcare department, in terms of costs. In conclusion, through the development and implementation of different mathematical methods, multiple logistic systems have been efficiently designed or improved during this PhD. In addition, all the developed models and the results obtained have been applied and validated in real-world case studies provided by different companies, demonstrating the practical implication of the work carried out.

Master´s thesis is solved in business enterprise focused on end user, proceeding demand prognosis. With concentration on solution and optimizing transport costs in options (production enterprise inventory, cross-docking), inventory management and logistic network in enterprise.

Master of Science / Department of Biological & Agricultural Engineering / Stacy L. Hutchinson / Gully erosion is a serious problem on military training lands resulting in not only soil erosion and environmental degradation, but also increased soldier injuries and equipment damage. Assessment of gully erosion occurring on Fort Riley was conducted in order to evaluate different gully location methods and to develop a gully prediction model based on logistic regression. Of the 360 sites visited, fifty two gullies were identified with the majority found using LiDAR based data. Logistic regression model was developed using topographic, landuse/landcover, and soil variables. Tests for multicollinearity were used to reduce the input variables such that each model input had a unique effect on the model output. The logistic regression determined that available water content was one of the most important factors affecting the formation of gullies. Additional important factors included particle size classification, runoff class, erosion class, and drainage class. Of the 1577 watersheds evaluated for the Fort Riley area, 192 watersheds were predicted to have gullies. Model accuracy was approximately 79% with an error of omission or false positive value of 10% and an error of commission or false negative value of 11%; which is a large improvement compared to previous methods used to locate gully erosion.

This thesis investigates the factors that are associated with annual changes in the share price of Johannesburg Stock Exchange (JSE) listed companies. In this study, an increase in value of a share is when the share price of a company goes up by the end of the financial year as compared to the previous year. Secondary data that was sourced from McGregor BFA website was used. The data was from 2004 up to 2011. Deciding which share to buy is the biggest challenge faced by both investment companies and individuals when investing on the stock exchange. This thesis uses binary logistic regression to identify the variables that are associated with share price increase. The dependent variable was annual change in share price (ACSP) and the independent variables were assets per capital employed ratio, debt per assets ratio, debt per equity ratio, dividend yield, earnings per share, earnings yield, operating profit margin, price earnings ratio, return on assets, return on equity and return on capital employed. Different variable selection methods were used and it was established that the backward elimination method produced the best model. It was established that the probability of success of a share is higher if the shareholders are anticipating a higher return on capital employed, and high earnings/ share. It was however, noted that the share price is negatively impacted by dividend yield and earnings yield. Since the odds of an increase in share price is higher if there is a higher return on capital employed and high earning per share, investors and investment companies are encouraged to choose companies with high earnings per share and the best returns on capital employed. The final model had a classification rate of 68.3% and the validation sample produced a classification rate of 65.2% / Mathematical Sciences / M.Sc. (Statistics)

The study aims to provide information on efficiency opportunities on SCA's northbound cassettes. It has been made by examining the capacity utilization rate on the northbound cassettes on SCA's vessels for a period of two weeks. The cargo loaded in the ports of Rotterdam and Sheerness consists of external cargo of varying shape. The cargo is shipped northbound to Holmsund and Sundsvall. Measurements have been made on the cargo to the final destinations Sundsvall, Holmsund and Finland. The measurements have been used in a mathematical optimization model created to optimize the loading of the cassettes. The model is based on placing boxes in a grid where the boxes that are placed representing the cargo and the grids representing the cassettes. The aim of the model is to reduce the number of cassettes and thereby increase the capacity utilization rate. The study resulted in an increase in capacity utilization rate for both area and volume to all destinations. The overall improvement for all cassettes examined resulted in an increase in the area capacity utilization rate by 9.02 percentage points and 5.72 percentage points for the volume capacity utilization rate. It also resulted in a decrease of 22 cassettes in total on the four voyages that were examined which indicate that there are opportunities to improve the capacity utilization rate. The study also shows that the model can be used as a basis for similar problems.

Hurricanes are a threat to power and telecommunication infrastructure. This work summarizes a method for hurricane characterization using the proposed Localized Tropical Cyclone Intensity Index(LTCII) as a model for estimating damages to Electric power infrastructure. The model considers the effect of storm surge, maximum sustained wind speeds, the duration of time for which the system has been under tropical storm conditions and the area swept by hurricane over land. The measurements focus on major load centers in the system. The validation of the outage data is discussed. The model is evaluated for hurricanes from 2004, 2005 and 2008 hurricane seasons. The degree of influence of various hurricane parameters on the damages suffered by electric power systems are discussed using case studies. The maximum outages are observed to follow a logistic regression curve with respect to log(LTCII), with a correlation of 0.85. The observed restoration times fit a 6th degree polynomial with an R2 = 0.6. The effects of time under tropical storm winds were observed to have great significance in the damage profile observed with the model. / text

<p>Savremeni uslovi trži&scaron;nog poslovanja zahtevaju visoku<br />konkurentnost robe u cilju ostvarivanja maksimalnog profita<br />proizvodnih kompanija odnosno distributera i zadovoljenja potreba<br />kupaca. Debalans rasta produktivnosti proizvodnih procesa i<br />logističkog sistema je jedan od glavnih uzroka usporavanja<br />celokupnog reproduktivnog procesa. Istraživanje transportnologističkog<br />sistema sa tendencijom razvoja elemanta fleksibilnog<br />skladi&scaron;nog koncepa je multidisciplinarnog karaktera i fokusirano je<br />na analizu procesa, funkcionalnih povr&scaron;ina, layout-a i regalske<br />opreme skladi&scaron;ta.</p> / <p>Modern conditions of market economy requires a highly<br />competitive goods in order to achieve maximum profit production<br />company respectively distributors and gratification the needs of<br />customers. Imbalance growth of productivity of production<br />processes and logistics system is one of the main causes of<br />slowing down the entire of reproductive process. The research of<br />transport and logistics system with the tendency development of<br />elements of flexible storage concept is multidisciplinary and<br />focused on process analysis, functional area, layout and storage<br />racks.</p>