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Development of Decision Support Tool for Transport Forwarding Company Operating within Netherlands and Italy

This paper investigates the development of a decision support tool for a Latvian transportation company operating in the Dutch and Italian markets. Models and algorithms for optimizing freight routes using Excel and Python are included. Digitalization of logistics processes is recognized as a key to improve efficiency and reduce costs. Two methods for solving the traveling salesman problem were examined and compared: Excel with Solver and Python with the NetworkX library.The methodology involved collecting data from Google My Maps, creating Excel spreadsheets, and developing Python software to automate route optimization. The results showed that both methods improved route planning, reducing time and cost, as well as reducing carbon footprint.The study emphasizes the importance of integrating technologies such as machine learning and big data into logistics to increase flexibility and adaptability. Recommendations were offered to further improve and implement these technologies for sustainable business development and increased competitiveness in international markets.

Author: Anastasija Škaduna

Supervisor: Berdymyrat Ovezmyradov

Degree: Professional Bachelor

Year: 2024

Work Language: English

Application of innovative technologies to organize control over the movement of freight transport.

Bachelor work: „Application of innovative technologies to organize control over the movement of freight transport”.Author of the paper: Anzelika Davidova.Scientific supervisor: Lecturer (program director), Mg. oec. Aleksandrs Kotļars.Paper for obtaining the degree: „Transport and Business Logistics”.The research goal: The goal of this thesis is to develop recommendations for optimizing freight transport traffic control by analyzing innovative technologies such as blockchain, IoT, autonomous vehicles, and ICT.Research object: Management and organization of freight transport traffic control systems.Research subject: Application of blockchain technology to enhance and innovate freight transport traffic control systems.Chapter 1: The role and importance of freight transport in business and entrepreneurship, including its importance in supply chain management and economic contribution.Chapter 2: Analysis of freight transport, with an emphasis on its efficiency, the situation in Latvia and environmental aspects.Chapter 3: Application of innovative technologies in the field of freight transportation, including automated vehicles, autonomous drones and blockchain.

Author: Anželika Davidova

Supervisor: Aleksandrs Kotļars

Degree: Professional Bachelor

Year: 2024

Work Language: English

Autonomous technologies in freight transportation and prospects for replacing drivers with autopilots

The thesis includes a literature review on autonomous freight transportation and its key components. The paper analyzes the experience of testing and operating autonomous trucks in different regions and assesses their impact on the labor market, including the reduced demand for drivers and the emergence of new professions. Safety aspects and economic impacts of autopilot deployment, such as reduced traffic accidents, are considered. As part of the study, a survey was conducted among logistics industry employees to understand professionals opinions on the development of this field. The costs of implementing autonomous freight transportation were also assessed.

Author: Ņikita Ogņevs

Supervisor: Genadijs Gromovs

Degree: Professional Bachelor

Year: 2024

Work Language: Latvian

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