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Automation of the parcel distribution process in a postal department

This thesis is devoted to automating the process of parcel distribution in the post office to increase the speed and accuracy of processing in the face of the growing demand of e-commerce. The limitations of the existing manual sorting system were analyzed and an automated solution was developed. The work defines the technical parameters and functions of the system, including the operation of conveyors, accurate data collection and parcel sorting. Structural and functional diagrams are developed, and the selection of components such as scanning devices, sorting machines, conveyors, sensors and PLCs is described. The algorithm and control program for the system were created and tested using the STEP 7 development environment and FactoryIo. The proposed automated system is aimed at significantly increasing productivity and reducing errors in the parcel processing process.

Author: Aleksandrs Panteļejevs

Supervisor: Vasilijs Gredasovs

Degree: Bachelor

Year: 2024

Work Language: English

Logistics management improvement in the FedEx company

The research goal: to analyze the impact of technological enhancements, specifically the introduction of the CWC system, on the operational efficiency of FedEx Latvia.Research object: FedEx Latvia.Research subject: the enhancement of logistics management practices.Chapter 1 provides an overview of traditional logistics management practices at FedEx Latvia and outlines the initial challenges and inefficiencies encountered.Chapter 2 examines the implementation and outcomes of the CWC system, focusing on the improvements in package scanning processes, error reduction, and operational speed.Chapter 3 explores potential future technological enhancements, analyzing their feasibility, expected benefits, and possible challenges in the context of FedEx Latvia's ongoing operational needs.This thesis aims to provide comprehensive insights into the transformation of logistics management practices at FedEx Latvia through technological advancements, assessing both the immediate and long-term impacts on the company's efficiency and operational costs.

Author: Artjoms Koreckis

Supervisor: Irina Kuzmina-Merlino

Degree: Bachelor

Year: 2024

Work Language: English

Study programme: Business and Management

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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

The automated business processes integration and their impact on SMEs in Latvia

This thesis investigates the integration of automated business processes within SMEs (small and medium-sized enterprises) in Latvia's fintech sector, focusing on identifying specific challenges and opportunities. It emphasizes the role of automation in enhancing operational efficiency and enabling SMEs to allocate more resources to strategic and innovative tasks. The research has developed a conceptual framework and provides practical recommendations to assist SMEs in effectively integrating automated processes. The first chapter reviews digital transformation (DT) and business process automation (BPA), including robotic process automation (RPA). The next chapters focus on the survey and interview analysis using the Analytic Hierarchy Process (AHP) and Domain Mapping Matrix (DMM) methods. The fourth chapter presents a business case for integrating BPA in SMEs with examples and discussions on implications. Chapter five introduces a framework for future BPA initiatives and offers practical recommendations for companies integrating BPA.Key findings indicate that while automation offers substantial efficiency and cost-reduction benefits, its practical implementation requires carefully crafted strategies tailored to SMEs' needs.

Author: Jevgeņija Fatunova

Supervisor: Soltani Mohammad

Degree: Master

Year: 2024

Work Language: English

COMPARATIVE ANALYSIS OF LLM-BASED APPROACHES FOR SQL GENERATION

The rapid development of Large Language Models has unlocked opportunities for restructuring software development processes in general as well as in such cases as converting natural language into SQL queries. This study seeks to experimentally evaluate the effects of four LLM-based methods on the efficiency and quality of SQL generation. Evaluation is being held based on following metrics: Correctness, Completeness and Consistency. Studied LLM-based SQL generation methods include Specific LLMs tailored for SQL code generation like SQL Coder frameworks for generating SQL code (Vanna.ai, 2023; Llamaindex, 2023) and Multi agent collaborative networks for transforming language into SQL.The research utilizes a mix of literature review case studies and simulations. It offers a comprehensive review of the advancements in LLM-driven SQL generation encompassing concepts, technologies, methodologies, strengths, limitations, and ethical considerations.This research successfully bridges the gap between theoretical foundations and practical application of AI-augmented approaches while promoting the integration of LLM-based SQL generation, into automated software development processes.

Author: Maksim Ilin

Supervisor: Dmitry Pavlyuk

Degree: Master

Year: 2024

Work Language: English

Study programme: Computer Sciences

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