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Improving the efficiency of the logistics firm's activity through the creation of a new warehouse

The thesis of work is improving the work of the company SIA “Autoparts” by organizing a new warehouse.Author: Danila LarionovsSupervisor: Dr. sc. ing. G. GromovsPaper for obtaining the degree „Professional Bachelor of Transport and BusinessLogistics”The work consists of 81 pages, 24 tables, 29 images, 23 referencesA WAREHOUSE, LOGISTICS PROCESSES, ORGANIZATION, COMPETITIVNESS, TRADE, CAR PARTS, STOCKSAim of the study. Designing a new warehouse that meets all company requirements, to improve the management and control of inventories.In the work’s first part are reviewed the theoretical foundations of warehousing, the types of warehousing and the main ways to improve performance.The second part describes the company SIA “Autoparts”, it’s core business, structure and main business processes.The third section analyses the company’s warehouse performance, identifying statistical data and performance gaps.The fourth section deals with the design of the new warehouse and the efficiency of the project.The final part analyses what has been done and draws conclusions based on the results.

Author: Daņila Larionovs

Supervisor: Genadijs Gromovs

Degree: Professional Bachelor

Year: 2024

Work Language: Latvian

Comparative analysis of RPL protocol objective functions impact on energy consumption in low-power and lossy networks

This bachelor thesis explores the impact of different RPL protocol objective functions on energy consumption in low-power and lossy networks. Given the critical role of low-power and lossy networks in applications like environmental monitoring, industrial automation, and smart cities, optimising energy consumption is paramount. Using the Contiki-NG operating system and the Cooja network simulator, this study conducts a comparative analysis of two primary objective functions: Objective Function Zero and Minimum Rank with Hysteresis Objective Function. Simulations are performed under 18 network scenarios including different node densities (10, 30, 50), node positioning, and receive ratios. The findings indicate that Objective Function Zero generally consumes less energy, particularly in high-density networks and environments with high packet delivery ratios. Conversely, Minimum Rank with Hysteresis Objective Function may be more suitable for dynamic and unpredictable environments despite its higher energy consumption. This research offers practical recommendations for selecting objective functions to optimise the energy consumption of constrained networks, contributing to the development of more sustainable IoT solutions.

Author: Deniss Bogdans

Supervisor: Jeļena Baranova

Degree: Bachelor

Year: 2024

Work Language: English

Development of an Alternative Mean of Compliance for inspecting passenger door stops on Embraer ERJ - 145 using Fluorescent penetrant Non-destructive Testing method.

This bachelor thesis focused on Development of an Alternative Mean of Compliance (AltMoC) for Inspecting the passenger door stops from Embraer ERJ - 145 aircraft Using Non-Destructive Testing Fluorescent penetrant method. The main goal of this work is to simplify the task with the help of a developed inspection for checking a structural component. A structural component is subject to fatigue and physical stress on it, as well as corrosion. Detailed detection of the smallest damage and metal fatigue. The developed AltMoC is aimed at significantly accelerating work processes, making inspection cheaper as well as having a simplified and clear process using penetrant testing. Having carried out research, the Author, carefully select the appropriate method for inspecting a structural component based on the type of material from which it is made, considering its’ its physical and chemical properties. Develop the correct sequence of actions in the instructions. Thanks to this, the workflow time and the risk of errors occurred due to Employees' misunderstanding significantly reduced.

Author: Deniss Zaharovs

Supervisor: Iyad Alomar

Degree: Bachelor

Year: 2024

Work Language: English

Study programme: Aviation Engineering

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Customer Satisfaction in Information Provision in Bus and Coach terminals

The actuality of this research lies in the significance of changing the mobility traditions toward public transport usage. It requires considering various aspects of the customer experience in public transport services. Transport terminals are an asset to an area as they may act as catalysts for more active use of public transport. However, poorly planned, and sited terminals may generate problems and passengers reduction.The research aims to gain insights into the effectiveness of information visualization in bus and coach terminals and contribute to enhancing the overall passenger experience during journeys. The author is reviewing existing literature on information visualization in transport terminals and studies, or best practices related to improving passenger experiences through effective information design.The author used both quantitative and qualitative methods as sources of data, such as user surveys, expert interviews, and observations for understanding how passengers interact with existing information displays. From analysis, the Riga International Coach terminal has a good information system but misses some visualization tools for information provision. Thus, recommendations were made on how to improve information provision to enhance customer satisfaction.

Author: Diane Aliou Yasmine

Supervisor: Irina Jackiva

Degree: Master

Year: 2024

Work Language: English

Research on effective finding of network anomalies in Intrusion Detection Systems using ML/DL methods

In this paper, the process of testing datasets and ML/DL methods using the Weka platform in order to obtain results of their effectiveness and how high the accuracy of detecting network anomalies they provide is described. During the experiment, many ML/DL algorithms and the most common datasets (KDD99, NSL-KDD, UNSW-NB15) were analyzed, as a result of which it was revealed that the best result of detection accuracy and time required on the experiment was produced by the NSL-KDD dataset.

Author: Dmitrijs Bulaks

Supervisor: Jeļena Baranova

Degree: Bachelor

Year: 2024

Work Language: English

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