TSI logo 25 years
LV EN
Home > About Us > Structure and Government > Abstracts

DEGREE

PROGRAMME

FACULTY

YEAR

LANGUAGE

KEYWORDS

Improving the performance of logistics company using CRM and other techniques.

This thesis delves into the implementation and impact of Customer Relationship Management (CRM) systems within the logistics industry, with a detailed case study of Orion Lift. The research encompasses a thorough financial analysis and logistical performance evaluation post-CRM integration. Orion Lift, a local logistics company, faced several operational challenges, including inefficiencies in customer management and high operational costs. By integrating a CRM system, the company aimed to streamline its processes, enhance customer satisfaction, and improve overall business performance.Financial metrics were meticulously calculated before and after the CRM implementation. The results indicate substantial improvements across all metrics, with notable increases in revenue and customer retention rates, and reductions in operational costs and customer acquisition costs. The thesis also discusses the potential financial and operational benefits of CRM systems, supported by comparative analysis with other effective CRM implementations in the logistics sector. Overall, the thesis provides a comprehensive assessment of the benefits of CRM systems in logistics, using Orion Lift as a case study.

Author: Aleksandr Usmanov

Supervisor: Genadijs Gromovs

Degree: Professional Bachelor

Year: 2024

Work Language: Latvian

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

Estimating Generalised Transport Costs of Road Freight Transportation in the Baltic Sea Region

This problem of estimating road transport costs in the Baltic Sea region is important for optimising cargo delivery expenses in local transportation and manufacturing sectors. The study incorporates a wider range of economic and logistical factors beyond the usual metrics of physical distance and travel time by using Generalised Transport Costs (GTC). Important factors like geodesic and road distances, travel times, fuel consumption, labor costs, tolls, and other overheads are identified. We utilise a unique dataset that analyses trips between centroids within each NUTS-2 region.The study confirms the GTC model by comparing calculated costs with established database values. Regression analysis uncovers key factors affecting transport costs, such as road distance, travel time, and tolls.Network analysis is used to map the routes in the region, focusing on finding paths that are both cost-effective and time-efficient. The analysis shows how small changes in routes can have a big impact on costs and efficiency.In conclusion, this thesis contributes to the knowledge of road freight transport costs in the Baltic Sea region, offering valuable insights for policymakers and logistics companies.

Author: Angelīna Ņekļudova

Supervisor: Francesco Maria Turno

Degree: Professional Bachelor

Year: 2024

Work Language: English

The advantages and disadvantages of using green logistics in the European Union

The final work includes a complete description of green logistics, its implementation difficulties and advantages for logistics companies in the European Union. The thesis analyses the impact of green logistics on a company that has implemented it, calculating the efficiency gains and cost reductions. It also analyses the development of green logistics in Latvia and its manifestations. The study explains the benefits not only for the company that switches to greener logistics, but also the positive changes for the environment. The thesis consists of 4 parts, theoretical aspects, the advantages, difficulties and challenges during the implementation of green logistics and the practical part.

Author: Natālija Guseva

Supervisor: Genadijs Gromovs

Degree: Professional Bachelor

Year: 2024

Work Language: Latvian

Enhancing Logistics Efficiency in Small Textile Businesses in India: Leveraging MS Dynamics AX for Process Optimization and Cost Reduction

The study explores the factors influencing Microsoft Dynamics AX implementation in small- scale textile enterprises in India's rapidly growing market. It identifies three main factors: cost- related aspects, integration with existing systems, and change management. Organizational preparedness is crucial, involving managing customization costs, employee resistance, and training. The effectiveness of MS Dynamics AX in logistics management depends on technological infrastructure and data migration operations. Efficient management of licensing and maintenance expenses, strong communication, and user acceptance can ensure long-term success

Author: Nithin Vinoy

Supervisor: Genadijs Gromovs

Degree: Professional Bachelor

Year: 2024

Work Language: English

Table View
Text View