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Increasing the efficiency of a manufacturing enterprise

This bachelor’s thesis is dedicated to the study of methods for improving the efficiency of a manufacturing enterprise. The work examines the theoretical aspects of determining efficiency, analyzes various approaches to its research and methods of improvement, and emphasizes the importance of strategic planning.The practical part of the research includes a description of the company's activities, an assessment of its financial condition, and a SWOT analysis. The work also reviews sales data in various segments of the non-alcoholic beverages market in Latvia, which helps identify problem areas and develop improvement recommendations.Particular attention is paid to the development of a production process improvement plan, including a detailed analysis of current operations and optimization proposals.The work is based on the analysis of the company's financial indicators for the period from 2020 to 2022, which allows identifying trends in profitability and liquidity indicators.The presented conclusions and recommendations can be used to enhance the efficiency of the enterprise and improve its competitive position in the market.

Author: Vitāliušs Mareks Kolodinskis

Supervisor: Aleksandrs Medvedevs

Degree: Professional Bachelor

Year: 2024

Work Language: Latvian

Application of time series algorithms for container imbalance forecasting using event data.

The research aim is to evaluate a time series models application for container imbalance forecasting using container event data. Compare the model results and conclude the real-world application options and limitations. The research object is time series models of container imbalance forecasting and subject is performance of models for container imbalance forecasting based on event data.There are three chapters of the research. The first one is State of the Art on Empty Container Repositioning (ECR) forecasting methods and approaches. The second part is investigation of container imbalance forecasting opportunities using event data. The third part is an application of time-series methods for forecasting container imbalance, experiments with real data and attempts to develop a novel data-driven framework for event data trained time series model evaluation. The third part consists of training experiment results analysis and interpretation. The 8 different models of ARIMA, VAR, VECM algorithms were tested and evaluated by different container size and type combinations, as well of 6 different port locations. Finally, the research conclusions are followed by references and attachments.

Author: Vjačeslavs Matvejevs

Supervisor: Dmitry Pavlyuk

Degree: Master

Year: 2024

Work Language: English

Study programme: Computer Sciences

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Analysis of modern forms of sales and their adaptation to the specifics of telecommunications business

In today's world, with the rapid development of digital technologies and growing competition in the market of telecommunication services, companies are forced to adapt their sales strategies, introducing innovative approaches and modern forms of interaction with customers. This thesis is devoted to the analysis of modern forms of sales, their impact on consumer behaviour and possibilities of adaptation to the specifics of telecommunications business.The study examines various forms of sales, such as e-commerce, omnichannel sales, the use of artificial intelligence and automated systems in sales processes, and personalised marketing. Particular attention is paid to analysing key trends in telecommunications sales, including the digital transformation of the customer experience, the development of self-service and the use of big data to predict customer needs.The practical significance of the work lies in the development of a comprehensive action plan and its financial justification for strengthening customer relationships, as well as making recommendations for optimising sales strategies for telecommunications companies, based on a survey, interviews and data analytics.

Author: Vladimir Semenov

Supervisor: Oksana Skorobogatova

Degree: Bachelor

Year: 2025

Work Language: English

Study programme: Business and Management

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Shooter game development using Unity

This bachelor's thesis revolves around exploring the development of a game in the shoot 'em up (SHMUP) genre by using C# scripting in Unity. The project's aim is to understand the challenges faced by indie developers and the game creation process itself. This is achieved through implementing core mechanics, designing user-friendly interfaces, creating diverse levels, optimizing performance, and conducting playtesting. The resulting product serves as a practical example of applying fundamental gaming algorithms while providing insights into indie game development.

Author: Vladislavs Jevstifejevs

Supervisor: Irina Pticina

Degree: Bachelor

Year: 2024

Work Language: English

Study programme: Computer Science

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Improving the efficiency of the company's subdivision

Rail freight transport is not feasible without railway tracks, which are being repaired and modernized with modern track machines. The thesis explores the relevance and need for spare parts supply for the repair of track machines. Within the scope of the work, a warehouse is analyzed and ways to improve it are discussed. Based on the data obtained, a solution is proposed to enhance warehouse operations efficiency - the implementation of a QR system.

Author: Vladislavs Minkevičs

Supervisor: Aleksandrs Medvedevs

Degree: Professional Bachelor

Year: 2024

Work Language: Latvian

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