Mgr. Ing. Ladislav Rigó

PhD Candidate · Industrial Logistics & IT

A technically-oriented professional combining hands-on IT systems expertise with advanced studies in Industrial Logistics. Experienced in managing information infrastructure, optimizing operational workflows, and conducting applied academic research in transport and logistics modelling.

Education
Industrial Logistics (PhD)
2023 – present
Technical University of Košice – BERG Faculty
Orthodox Theology (Mgr.)
2009 – 2014
University of Prešov – Orthodox Theological Faculty
Robotics Engineering (Ing.)
2003 – 2008
Technical University of Košice – Faculty of Mechanical Engineering
Work Experience
Information Systems Administrator
2022 – present
Technical University of Košice – BERG Faculty
Responsible for the operation of information systems and applications. Cooperation with faculty departments in resolving computer system issues and supporting digital infrastructure.
Administrator / IT Specialist
2015 – 2022
State Philharmonic Košice
Managed LAN networks, information systems and applications. Administered VOIP telecommunications and ticket office systems. GDPR responsible person; supported the State Treasury system.
Customer Delivery Employee
2013 – 2015
TESCO STORES SR, a.s.
Delivery of goods from online orders to customers in Košice and surrounding areas (~30 km). Responsible for driving vehicles up to 3.5 t.
Goods Receiving Employee
2011 – 2013
Supermarket Cassovar s.r.o.
Receiving, quality control, quantity verification and warranty inspection of delivered goods. Goods handling and forklift operation.
Maintenance Mechanic – RIKOS
2008 – 2011
Public Transport Company of the City of Košice
Maintenance of ticket validators, card readers and electronic information displays. Inspection of vending machines and contactless smart card recharge systems.
Published Articles
Article 1 · MDPI Sustainability · 2024

Utilising Digital Twins to Bolster the Sustainability of Logistics Processes in Industry 4.0

Industry 4.0, characterized by the integration of advanced technologies, has allowed industries to optimise operations, reduce waste, and minimize environmental impact. Digitalization has become a cornerstone for achieving sustainability goals, and one of the key enablers of Industry 4.0 is the digital twin. The digital twin provides real-time insights and simulations to optimise processes. Organizations can thus optimise not only their operations but also contribute to a more resilient global supply chain. The aim of the paper is to present a comprehensive methodology for implementing the digital twin principle in the Tecnomatix environment. The Tecnomatix model is connected to Siemens PLC SIMATIC S7-1200 utilizing the OPC UA (Unified Architecture) method and through KEPServerEX, V6.14.263.0. The described approach enables continuous monitoring of critical indicators to optimise production efficiency and address downtime issues.

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Article 2 · MDPI Applied Sciences · 2024

Simulation and Optimization of an Intelligent Transport System Based on Freely Moving Automated Guided Vehicles

AGV-based intra-company transport systems are indispensable in the manufacturing industry of Industry 4.0. Designing the systems involves determining AGV movement paths that are predefined dynamically or adjusted based on real-time events. This study focuses on the simulation and optimization of an intelligent transport system. The aim is to create a system model with freely moving AGVs controlled based on the requirements of production facilities. The simulation model was designed in the Tecnomatix Plant Simulation environment. A fictional case study with a flexible manufacturing system was used. Specific methods have been developed for AGV operation, control, and dynamic product handling. The initial simulation model served as the basis for optimization. Model optimization, performed using a genetic algorithm, aimed to maximize production volume while minimizing the number of AGVs. Simulation results showed that AGV movements were dynamically adjusted based on real-time machine requests, and the optimal configuration of AGVs achieved a production volume that was significantly higher than the initial setup. This study demonstrates a new approach to modeling AGV traffic systems emphasizing real-time dynamic adjustments of AGV paths. The findings contribute to integrating intelligent transport systems into production processes, and this study provides valuable insights for future investigation in this area.

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Article 3 · LOGI – Scientific Journal on Transport and Logistics · 2024

Simulation-based Optimization for Material Handling System: A Cement Plant Case Study

This paper addresses the optimization of material supply and handling using simulations. The primary objective is to reduce loader downtime by improving raw material procurement and revising the work schedule for material delivery and loader operations. Through the adjustments in the scheduling of raw material deliveries, excessive idle times of handling equipment are minimized. A simulation model is designed to compare the current state with the proposed optimized scenario. The reorganization reduced loader downtime by improving raw material procurement. The simulation results indicate a decrease in loader downtime, from 33% to 13% of total available time. The analysis of storage box occupancy reveals a notable increase in supply efficiency at the outdoor landfill. Adjustments enable the delivery of larger quantities of gypsum within shorter timeframes, maximizing stored material without exceeding storage capacity constraints.

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Article 4 · Transportation Research Procedia · 2025

Optimization of the production system using the selected tools in Tecnomatix Plant Simulation

Optimizing production and its logistics flows is now an essential part of the production strategy of companies, whether when designing a production hall or a goods transshipment point. At the same time, it is also used to make existing solutions more efficient in order to maintain competitiveness. Through effective optimization, it is possible to achieve an increase in the profits of companies, which they can later transform into the purchase of more advanced machines and technologies, which subsequently leads to increased profitability again. This article compares 2 types of optimization algorithms in logistics flow. Experimental Manager and the Genetic Algorithm are used as optimization tools. By correctly setting the input parameters for these methods, valuable optimization outputs can be obtained within a shorter time interval (time savings of app. 40%). The results indicate that the Genetic Algorithm has an advantage over the standard method of the Experimental Manager in the speed of achieving the chosen goals.

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Article 5 · Transportation Research Procedia · 2025

Railways in Slovakia: Current State and Perspectives of High-Speed Lines

High-speed railways (HSR) represent an important element of modern transport infrastructure for efficient, sustainable, and environmentally friendly transport. The aim of the article is to analyse the current status, challenges, and perspectives of the implementation of HSR in Slovakia and the Visegrad Group (V4) countries. The main research results show that Slovakia has a dense railway network but outdated infrastructure with limited capacity and low line speeds, complicating high-speed line integration. Within the V4 countries, the development of HSR is diverse – the Czech Republic is planning an extensive network, Hungary is focusing on connecting to the Balkans, Poland is developing the CPK project with the ambition of creating a central transport hub and the Rail Baltica line connecting the Baltics. In Slovakia, the main challenges are insufficient funding, modernization of key corridors, and connection to the European TEN-T network. Nevertheless, HSR brings significant potential for improving mobility, supporting regional development, and protecting the environment.

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Article 6 · MDPI Machines · 2026

Digital Twin of a Material Handling System Based on a Physical Construction-Kit Model for Educational Applications

Digital twin (DT) technology is a key element of Industry 4.0. Despite its rapid development, current research is mainly focused on industrial optimisation and machine-level monitoring. However, its implementation in the educational process lags significantly behind practice. Moreover, existing DT implementations in education often emphasise visualisation or simulation, while neglecting synchronisation and verification of functional equivalence between the physical and virtual systems. This study presents the design, development and experimental verification of a digital twin of a laboratory material handling system. The virtual model created in Tecnomatix Plant Simulation is connected to the physical system controlled by a Siemens PLC SIMATIC S7-1200 and equipped with industrial sensors and an HMI interface. Real-time bidirectional communication is established via the OPC UA protocol using KEPServerEX, ensuring synchronisation between the physical and virtual systems. Experiments confirmed the functional synchronisation of both systems. Additionally, the study presents that DT technology can be adapted for educational purposes and implemented in engineering education.

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Accomplished Projects
Project VR1 · 360° Virtual Tour

Eurokamen – Stone Products Showroom Virtual Tour

An immersive 360° virtual tour developed for Eurokamen, a Slovak natural stone products company. The tour enables customers to explore the showroom and product presentations remotely, improving the online sales experience and reducing the need for in-person visits. Built using professional VR360 software and hosted on a dedicated subdomain.

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Project VR2 · 360° Virtual Tour

Hotel Crystal – Hospitality Virtual Tour

A fully interactive 360° virtual tour of Hotel Crystal, designed to showcase hotel rooms, common areas, and facilities to potential guests before booking. The tour increases conversion rates by giving visitors a realistic preview of the property, and is integrated directly into the hotel's web presence for seamless user experience.

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Project 360 · University Web Application

Mineral Exhibition – 360° Web Application

The website offers an interactive 360° virtual tour of a mineral exhibition. Visitors can explore various mineral specimens and exhibition spaces through different views. It also provides educational information about minerals and mining heritage.

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Power BI – Volvo Example Dashboard

Interactive Power BI report demonstrating data visualisation and analytics capabilities relevant to automotive logistics and operations planning.

If the link is blocked by your network, scan the QR code with your phone to open the live dashboard.