Advanced Logistic Systems - Theory and Practice
<p align="justify" style="background-color: transparent; color: #000000; cursor: text; font-family: &quot; noto sans&quot;,arial,helvetica,sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: 400; letter-spacing: normal; orphans: 2; outline-color: transparent; outline-style: none; outline-width: 0px; text-align: justify; text-decoration: none; text-indent: 0px; text-transform: none; -webkit-text-stroke-width: 0px; white-space: normal; word-spacing: 0px;"> <p align="justify" style="background-color: transparent; color: #000000; cursor: text; font-family: &quot; noto sans&quot;,arial,helvetica,sans-serif; font-size: 14px; font-style: normal; font-variant: normal; font-weight: 400; letter-spacing: normal; orphans: 2; outline-color: transparent; outline-style: none; outline-width: 0px; text-align: justify; text-decoration: none; text-indent: 0px; text-transform: none; -webkit-text-stroke-width: 0px; white-space: normal; word-spacing: 0px;">The Advanced Logistic Systems journal is one of the official publications of the University of Miskolc and are published in two issues pro year. The primary objective of the ALS journal is to present the new results of the researchers of higher education and research institutes from the central European countries on the logistics domain. Beside it, the journal delates the actual state and problems of the logistic processes of the central European industrial companies. Of course, the ALS journal is open for all advanced logistics and materials handling researches coming from any part of the World. We can accept papers related especially to materials handling systems design, industrial logistics solutions, optimization of logistic processes, etc.
Optimization in the car-hauling industry
This paper studies optimization opportunities in the U.S. car hauling industry specifically targeting idle miles. We developed a mathematical model that defines the optimal order of transportation tasks needed to minimize idle miles. Real data was collected from a U. S.car-hauling company to build the model. A numerical optimization using evolutionary algorithm and Excel Solver was performed on multiple scenarios. Significant improvement can be seen through route optimization. In one scenario the total route distance was decreased from 2997 km to 1897 km and the carrier’s profit increased from $189 to $1291. In another scenario, the total distance of all routes was decreased from 2578 km to 1742 km and the negative profit of -$194 turned into a positive $648. Optimization effectively reduces idle mileage in the car hauling industry. Both profit maximizing and idle-cost minimizing produce nearly identical efficient routes.
Copyright (c) 2026 Pavel Aftimiciuc, Tamás Bányai
Structural change trends in the hungarian logistics sector between 2022-2024
The study examines logistics sector trends between 2022 and 2024 based on a dashboard summary prepared by the National Data Assets Agency (NAVÜ). The presented data, extracted from the public data register, indicate that net sales revenue increased across the logistics sector as a whole, while the number of companies essentially stagnated. This suggests that the growth did not stem from the mass emergence of new players, but from the higher performance of existing companies and the strong concentration of certain sub-areas. In the breakdown according to the Unified Economic Activity Classification System (TEÁOR 2 is a Hungarian acronym that stands for Tevékenységek Egységes Ágazati Osztályozási Rendszere), warehousing, storage and ancillary activities related to transport remain the largest players, accounting for approximately 76-77 percent of companies. However, its share of sales revenue decreased between 2022 and 2024, indicating a structural transformation. In parallel, air transport has strengthened spectacularly: its revenue has almost doubled and its share of sales revenue has increased from approximately 18 percent to approximately 29 percent. Based on more detailed sectoral data, “Other auxiliary transport services” (code 5229) remained the sub-sector with the broadest entrepreneurial base, with around 41 percent of companies in 2024. The most important conclusion is that logistics performance is increasingly concentrated: many companies operate in auxiliary services, but some high-revenue sub-sectors, especially air passenger transport, represent significant economic weight even with few companies.
Copyright (c) 2026 Vince Kruchina, György Tibor Sárközi, Jakab Mátyás Keindl
Simulation model for the analysis of logistic service requirement of maintenance activities
With the rapid increase in the number of our technical devices, and the technical complexity of individual equipment, the issue of maintenance becomes an increasingly important factor. A prominent feature of the use of industrial and service equipment is maintainability and repairability. Especially in the case of high-performance production equipment, where the construction and operation of an effective maintenance system is essential to maintain continuous operation, the analysis of maintenance processes is a particularly important task. It seems like an obvious solution to use different simulation methods for this purpose, but the randomness of the maintenance processes, or due to other features that are difficult to take into account, we can only perform the necessary tests with the help of complex models. In this article, a simulation model that can be used to examine the material handling activities of maintenance systems is presented, with the help of which the real characteristics of various maintenance operations can be accurately determined, and also the characteristics of the handling devices needed to serve them.
Investigation of the Logistics Integration and Efficiency of Autonomous Mobile Robots (AMRs) and AGV Systems in an Industry 4.0 Environment
In the environment of Industry 4.0 in the 21st century, manufacturing companies require flexible internal logistics solutions. The article presents a technical and economic comparison of AGV and AMR technologies. It analyses navigation principles, infrastructure needs, and the role of WMS and FMS systems. Parameterized model calculation examines the performance of systems in two industrial scenarios. The results show that in a dynamic environment, SLAM-based routing of AMRs provides a capacity increase of about 10% compared to AGVs. Based on a 5-year TCO analysis, higher investment costs are offset by lower operating costs, so AMR technology provides better ROI and greater flexibility in a rapidly changing manufacturing environment.
Copyright (c) 2026 Bálint Jaskó, Ákos Cservenák
The logistical challenges of managing hazardous waste from the battery industry in Hungary
Thanks to its ‘Opening to the East’ industrial policy, launched in 2016, Hungary has grown to become Europe’s fourth-largest manufacturer of lithium-ion cells. Through this explosive industrial expansion, comprising 44 priority investments, the country’s production capacity could exceed 200 GWh by 2030. However, the volume of hazardous waste generated is increasing in direct proportion to production volumes. Due to the high scrap rate and the significant specific environmental impact of battery production, tens of thousands of tonnes of toxic, flammable and explosive by-products require professional handling, storage and disposal each year. By analysing primary regulatory data and domestic case studies (Göd, Komárom, Szigetszentmiklós, Abasár, Iklad), this article highlights that current domestic reverse logistics practices are ad hoc in nature, the regulatory environment is highly fragmented, and regulatory action is often inconsistent. To ensure sustainable and safe operations, the article proposes the introduction of a new, Seveso-compliant, multimodal and digitised inverse logistics methodology, which fully integrates the requirements of Regulations (EU) 2023/1542 [1] and (EU) 2024/1157 [2].
Copyright (c) 2026 György Firbás, Péter Tamás, Béla Illés
Opportunities and Challenges in E-Commerce Logistics Network Modelling
This study examines how advanced modelling approaches and digitally supported logistics solutions contribute to the development of more flexible, efficient and resilient e-commerce logistics networks. One of the most critical cases is adapting logistics systems to dynamic-changing customer demand, shortened delivery expectations and increasing sustainability requirements within rapidly evolving market environments. Emerging technologies solutions are also analyzed as potential tools to enhance operational company efficiency, coordination and decision-making processes. Furthermore, the result represents a conceptual overview of modelling opportunities in e-commerce logistics. These findings highlight the growing importance of comprehensive and adaptive modelling frameworks that support the integration of economic performance, service quality and environmental clauses into regional logistics network planning.
Implementation process using real UWB-RTLS
RTLS (Real Time Location System) is an absolutely booming, dynamically developing technology. Through my work, I have gained unique experience and knowledge that underpins the significance and relevance of this article. In Hungary, a few dozen implementations represent the RTLS market in 2025, which, in my opinion, is on the verge of a huge boom. I have already implemented RTLS technology in several projects, mostly in the production and service logistics systems of Tier 1 supplier companies. The operating systems have partially replaced the previously known barcode and radio frequency semi-automatic data collection devices and radio networks. In addition to using the installed UWB-based RTLS, we have achieved 99.99% operational accuracy and up to 20% resource savings compared to previous barcode-based Auto ID systems. Based on my 10 years of practical experience, I have concluded that it is necessary to conduct a feasibility study before every RTLS project in order to ensure that the project will be profitable. I have compiled an implementation process that assists with the implementation steps of RTLS projects and helps to prevent the risks that I have encountered over the past 10 years.
Copyright (c) 2026 Tamás Bátori, Péter Tamás, Béla Illés
Calculation of logistics resource requirement for individual maintenance processes
The maintenance activities are related to production objects, but the consideration of the parameters of the maintenance process during material handling requires a completely different approach. The most important difference compared to production processes is the randomly arising servicing needs. The research presented here aimed at establishing an integrated material handling model for the entire maintenance processes. In this article, a calculation method will be presented that seeks to minimize the handling equipment requirement by analysing the transportation tasks of individual maintenance process elements. The relationships related to satisfying maintenance material and device needs can be used to determine the various parameters of the material handling equipment and the size of the equipment park required for maintenance.
Quality assurance for Industry 5.0 logistics networks
Collaborative logistics networks are increasingly adopted to improve efficiency, resilience, and sustainability in complex supply chain environments. However, ensuring consistent service quality across organizational boundaries remains a critical challenge, as traditional quality assurance approaches are predominantly firm-centric and insufficient for networked logistics systems. At the same time, the ongoing digital transformation of logistics and the emergence of Industry 5.0 call for integrated quality management approaches that combine advanced digital technologies with human-centric governance principles. This paper develops a conceptual framework for digital quality assurance in collaborative logistics networks from a network-level and socio-technical perspective. Based on a PRISMA-guided systematic literature review, the study synthesizes research on logistics quality management, digitalization, collaborative network governance, and Industry 5.0. The proposed framework integrates five interrelated layers: data acquisition and quality sensing, digital quality analytics, human–digital decision support, governance and trust mechanisms, and sustainability and resilience integration. The framework conceptualizes quality assurance as a network-level capability emerging from coordinated data sharing, interpretable analytics, and human-in-the-loop decision-making supported by transparent governance structures. The study contributes by providing an integrated conceptual architecture that extends quality management beyond firm-level boundaries and by demonstrating its practical applicability in collaborative logistics contexts. The findings offer guidance for designing proactive, transparent, and resilient quality assurance mechanisms in digitally connected supply networks.
Copyright (c) 2026 Gábor Nagy, Szabolcs Szentesi
Strategic Management of Procurement Logistics in Modern Supply Chains
In increasingly globalised and digitally integrated supply chains, procurement logistics has evolved from an operational support function into a strategic management domain. This study analyses the structure, planning logic and strategic configurations of procurement logistics in modern supply chains. The paper first reviews relevant scientific literature, highlighting the growing importance of logistics optimisation and the multidisciplinary nature of supply chain research. It then develops a comprehensive framework of the procurement logistics process, covering demand forecasting, need definition, supplier selection, contract negotiation, procurement scheduling, transport planning, receiving, and warehousing. The analysis emphasises the interdependence of planning and execution activities and identifies key performance indicators and risk factors associated with each phase. Special attention is given to trade-offs between cost efficiency, service level, inventory policies and supply risk exposure. The study also discusses major procurement logistics strategies, including centralised and decentralised purchasing structures, Just-in-Time and Kanban systems, make-or-buy decisions, consignment stock solutions, and virtual logistics models enabled by digital technologies. The findings underline that effective procurement logistics requires alignment between organisational structure, supplier relationships, inventory management, transport coordination and digital integration. The balance between efficiency and resilience emerges as a critical managerial challenge. The paper concludes that strategically managed procurement logistics significantly contributes to operational continuity, cost optimisation, risk mitigation and long-term competitive advantage in modern supply chains.
Optimization Approaches for Dangerous Goods Logistics
Logistics systems handling dangerous goods operate under stringent regulatory constraints and elevated safety requirements, which fundamentally reshape classical optimization problems. This paper provides a structured overview of the core optimization tasks in dangerous goods logistics, with particular emphasis on transportation, storage, inventory management, facility planning, and fleet allocation. The study highlights how risk exposure, regulatory compliance, and safety considerations are explicitly embedded into optimization models, transforming traditional cost-driven approaches into multi-objective and risk-aware decision frameworks. Through selected numerical examples, the paper illustrates typical trade-offs between logistics cost efficiency and safety performance, such as routing efficiency versus societal risk, inventory buffering versus hazard concentration, and fleet utilization versus system resilience. By synthesizing fragmented research streams and linking theoretical models with illustrative applications, the paper contributes to a more integrated understanding of optimization challenges in dangerous goods logistics and supports decision-makers in balancing efficiency, safety, and regulatory compliance.
Inventory management in gold mining industry: opportunities and challenges
Inventory management in gold mining represents a strategic and complex function that influences equipment availability, maintenance cost efficiency, and overall operational continuity. Gold mining enterprises rely on extensive inventories supporting a large, diverse set of machinery and equipment required for extraction, haulage, processing, and maintenance. Long-operating mines often accumulate more than 100,000 stock-keeping units (SKUs), driven by continuous technological renewal, changes in machinery suppliers, and evolving operational demands. These factors create significant challenges in forecasting, procurement, and stock optimization. This article examines the key inventory management challenges specific to gold mining enterprises and integrates insights from research articles in spare-parts inventory, supply chain management, and mining logistics. Particular emphasis is placed on intermittent demand, rotables management, long and uncertain lead times, supplier constraints, equipment obsolescence, and the increasing need for digital solutions based on condition monitoring and predictive maintenance. The study provides a structured overview of the problem space and highlights emerging approaches that combine data analytics, risk-based classification, and integrated maintenance–inventory planning.
Redundancy That Works: How k-out-of-n Logic Protects Supply Chains
A comprehensive review of the k-out-of-n reliability framework is presented in this paper, and its potential for enhancing robustness in logistics and supply chain systems is demonstrated. Through an examination of a wide range of published research, it is shown that k-out-of-n models have evolved from simple binary formulations to sophisticated multi-state, dependent, and time-dependent structures capable of capturing real-world operational uncertainty. The flexibility of k-out-of-n logic in representing partial functionality, controlled redundancy, and minimum performance thresholds is highlighted, as these features are regarded as essential for modern logistics infrastructures. Applications of this modeling approach in fleet management, automated warehouses, distribution networks, supplier redundancy, and multimodal transportation are reviewed. Numerical examples are provided to illustrate how system-level availability can be quantified using k-out-of-n logic, thereby offering a transparent analytical basis for strategic and operational decisions. It is concluded that k-out-of-n modeling provides a unifying and versatile toolset for the design of supply chains intended to remain resilient despite component-level failures or disruptions.
Creating a digital twin for a production logistics model system using Discrete Event Simulation
The aim of the paper is to present the creation process of a digital twin based on discrete-event simulation for a production logistics model system. The given system is located in the Logistics 4.0 Laboratory of the Institute of Logistics of the University of Miskolc. It consists of an automated, PLC-controlled material handling system based on roller conveyors and turntables, which is supplemented by a gravity flow rack. It also has multiple locations along the conveyor track that could serve as storage or assembly stations. A real-scale model of the entire system was created with the aid of Siemens Tecnomatix Plant Simulation. In the developed model, proprietary methods control the transfer of raw materials, congestion management and the operation of the turntables. Based on the operation of the complete system, the simulation examines machine utilization, human resources and bottlenecks in the material flow. The results demonstrate the advantages of using discrete-event simulation based digital twins for the optimization of production logistics systems.
Copyright (c) 2026 István Munkácsi, Róbert Skapinyecz
Logistic aspects of the planning of packaging
The most dynamically developing service of our time is freight transport. Millions of small and large packages are delivered every day in different parts of the world, and we can send goods, packages and consignments from practically anywhere to anywhere. As the number of traditional mail items decreases, the desire to send packages increases in parallel, which results the increasing of the number of different freight transport companies. The transmission of goods requires the use of various packaging, against which serious expectations are placed on preserving the integrity of the goods and reducing transport costs. This article reviews the logistical aspects of packaging design, primarily from the perspective of selecting the optimal packaging from a logistical point of view.
Determining the location of a distribution centre using centre search based on employment data
Urban freight transport presents significant challenges to the goals of sustainable mobility and energy efficiency. The aim of this paper is to provide an approach utilizing center search and employment data for selecting the optimal location of a distribution center designed for electrified urban freight transport. The application of the proposed method is demonstrated through a case study, in which a potential site for a logistics center in and around Miskolc was identified, using multiple center search methods such as area grids and radial models. The paper also presents additional practical results, including the required fleet size and the characteristics of the supply area. The findings highlight that with thorough planning and appropriate data collection, a logistics center can significantly improve the efficiency and environmental performance of freight transport.
Copyright (c) 2026 Péter Schein, Róbert Skapinyecz
Operation characteristics and testing parameters of transport channels
Today's advanced, automated serving systems must operate efficiently in a dynamically changing environment, where modern methods and procedures can be applied during the realization of handling processes. To be able to apply various optimization methods and simulation software with appropriate efficiency during the planning and operation of material handling devices, it is necessary to explore the parameters of the technical devices to take the individual characteristics into account. In this article, the next step of previously started research is presented, in which the variants of conveyor belts and the most important operating characteristics are explored.
Optimizing procurement and inventory strategies with Solver
In the field of physical logistics, efficient and precise control of material flow is regarded as a crucial aspect of modern manufacturing management. To address the challenges of limited transport capacity and variable demand, three alternative inventory and procurement strategies have been examined through Solver-based optimization. The first approach, a Reorder Point model with fixed order quantity, has been evaluated for its simplicity and responsiveness. The second, a Min–Max inventory policy, has been assessed for its adaptive replenishment and stability under uncertainty. The third, a Fixed Interval Ordering model, has been analyzed for its predictable scheduling and reduced logistics costs. Each method has been tested under identical cost structures, including purchase price, transportation, and shortage penalties. The obtained results are intended to demonstrate how optimized selection among these models can contribute to improved cost efficiency and reliability in constrained industrial supply systems.
Comparative Analysis of Supplier Selection Methods in Industry-Specific Contexts
Supplier selection is a key strategic decision in logistics and supply chain management, directly influencing a company’s competitiveness, cost efficiency, and sustainability performance. This paper provides a comprehensive overview of the main criteria and methodological approaches applied in supplier evaluation. It explores the importance of financial, quality, delivery, compliance, sustainability, and communication factors, as well as their industry-specific adaptations in sectors such as automotive, food, pharmaceutical, electronics, construction, and textile manufacturing. The methodological section presents and compares several decision-making techniques (including the Datum, Dodgson, Plurality, Weighting, and Analytic Hierarchy Process (AHP) methods) highlighting their advantages, limitations, and suitability for multi-criteria decision environments. Finally, the study discusses emerging trends such as digitalization, data-driven evaluation, ESG considerations, and resilience-oriented supplier assessment, emphasizing the growing need for continuous and transparent supplier performance monitoring in modern logistics systems.
Copyright (c) 2025 Ágota Bányai, Tamás Bányai
Impacts of logistics processes in standardization and traceability systems
The research focuses on the impacts of logistics processes, especially in the field of standardization, traceability and hazardous goods supply chains. This study analyzes how international standards (ISO, GS1, ADR) and modern traceability systems contribute with safer and more efficient logistics operations. One of the most key problems is adapting to international requirements, which include regulatory harmonization, digital transformation, and economic constraints in the Hungarian industry. Technological innovations are also examined as potential tools to enhance transparency, risk management, and process optimization, such as IoT, blockchain, and artificial intelligence (AI). Furthermore, this research represents a conceptual framework to introduce the standardized traceability systems into logistics supply chain strategies. The results highlight the benefits of application harmonized standards and innovative traceability solutions to outlining barriers and opportunities for future development.
Predictive quality assurance for logistics provider selection: an AI–MCDM framework
Quality assurance has evolved from being a competitive advantage to a baseline requirement in logistics services. Traditional multi-criteria decision-making (MCDM) approaches to selecting logistics service providers (LSPs) rely heavily on historical data and expert judgment, which may be unreliable in today’s volatile markets. This paper introduces an AI-enhanced MCDM framework that transforms predictive distributions of key quality indicators—such as on-time delivery, lead-time variability, damage rate, CO₂ emissions, and cost—into risk-adjusted preference scores. These scores are then aggregated using established methods (TOPSIS, PROMETHEE, VIKOR) to generate forward-looking and risk-aware rankings. A PRISMA-guided systematic literature review (2019–2025) highlights three major gaps in the field: limited integration of predictive analytics into MCDM, insufficient treatment of tail risks and data drift, and weak attention to explainability. The proposed framework addresses these shortcomings and is illustrated through a case study that demonstrates how predictive, risk-sensitive rankings can enhance robustness and decision quality in LSP selection.
Modeling and Solving Transportation Problems as a Decision Support Tool in Logistics Process Design and Optimization
This paper provides a comprehensive overview of classical and extended transportation problem-solving methods. It introduces well-known algorithms such as the North-West Corner Method, Least Cost Method, Vogel’s Approximation Method, and the Simplex Method. The paper also presents real-world application areas, including Home delivery of e-commerce packages, transportation of medical equipment and pharmaceuticals, transportation of fresh food products. Practical examples illustrate how these models function in real industrial contexts. Beyond the classical transportation model, the study explores its extensions by incorporating capacity and time constraints. These extended models are analyzed to understand their impact on cost and solution structure. The findings highlight the trade-offs between model complexity and operational feasibility in real-world transportation planning.
Copyright (c) 2025 Boglárka Eszter Zelena, Tamás Bányai
Sustainable Logistics: Green Solutions, Technologies and Challenges in the Service of Industrial Efficiency
This study explores the development opportunities of sustainable logistics systems, with a particular focus on environmentally friendly technologies and green solutions that enhance industrial efficiency. It provides a detailed overview of innovative technologies applicable in transportation and supply chain processes, emphasizing their impact on energy efficiency, cost optimization, and environmental load reduction. The analysis covers key Industry 4.0 tools, including the integration of IoT and artificial intelligence into logistics, as well as the applicability of alternative fuels and emission reduction strategies. The aim of the study is to formulate strategic guidelines and practical recommendations for integrating sustainability at all levels of logistics systems, thereby promoting both environmentally and economically efficient operations.
Copyright (c) 2025 Szabolcs Szentesi, Gábor Nagy, Dániel Kiss-Simon
Exploring the operating characteristics of industrial trucks for various tests of material handling systems
Modern, automated handling systems today must operate efficiently in a dynamically changing environment and therefore cannot be managed with old design methods. In recent years, new methods have emerged for the efficient design and operation of handling systems, of which optimization methods and simulation software are the most frequently used tools in practice. These are very effective, but they usually serve to properly map processes, and therefore they are less able to take the characteristics of technical devices into account. In order to be able to apply these modern computer methods with sufficient efficiency, it is necessary to analyse the properties of technical devices and to explore those parameters which can influence the operation of the handling system. This article presents the first steps of a research project aimed at the accurate modelling of material handling equipment, primarily for simulation tests of handling systems. In addition to a general description and overview, the most important operating characteristics of industrial trucks are presented on the following pages.
The task of production logistics is to move workpieces within the plant between workstations, and to supply the workstations with the raw materials, components, etc. required for the given production task. This is no different in an AGV-served matrix production that complies with Industry 4.0 principles. In the case of larger workpieces, they are transported by a dedicated AGV throughout the production process. In the production space, several AGVs perform their tasks simultaneously, thus several material handling tasks occur simultaneously. This paper presents a mathematical model in detail, which allows for optimization according to various aspects. With the help of the model, we specify the objective functions and the restrictions on them.
Copyright (c) 2025 Ibolya Hardai, Béla Illés, Ágota Bányai Tóth
Edge–cloud integration for logistics quality assurance
In today’s fast-paced and highly interconnected logistics networks, quality assurance (QA) requires real-time responsiveness, data accuracy, and scalable technological infrastructure. This study investigates the integration of edge computing and cloud platforms to enable real-time quality data analytics across distributed logistics systems. By deploying sensor-based edge devices for immediate data processing and anomaly detection, and synchronizing with cloud environments for centralized analytics and decision support, the proposed architecture significantly enhances the responsiveness and transparency of QA operations. The paper presents a modular system design suitable for warehouse quality control and transport condition monitoring, emphasizing low-latency performance, data security, and system scalability. Through application scenarios and performance evaluation, the study demonstrates how digital QA systems can support proactive interventions, reduce product damage, and optimize quality compliance in logistics. Future directions include AI-based predictive analytics and the integration of digital twins to further improve QA intelligence and automation
Copyright (c) 2025 Gábor Nagy, Szabolcs Szentesi
Technological and economic aspects of electric vehicle charging in Hungary
One of the main barriers to the uptake of electric vehicles in Hungary is the infrastructure, which allows the transition to electric cars while maintaining the driving habits that have been established so far. The aim of this paper is to explore the technological and economic aspects of electric car charging, with a systematic review of the Hungarian and international literature, with a special focus on the Hungarian situation. The research compares the cost of charging electric vehicles with the fuel costs of conventional vehicles. Based on the results obtained, it will propose future research directions for strategic directions supporting sustainable transport, highlighting the role and future potential of solar systems.
Copyright (c) 2025 László Seres, Péter Tamás
Crane selection for advanced material handling systems
The expectations of today's industrial processes require not only the continuous development of the handling equipment, but also the modernization of the methods used in their design, operation and maintenance, which a logistics engineer encounters every day. The selection of material handling equipment is a traditional process, but the individual steps and the methods used are always aligned with current industrial expectations. This article reviews the main types and application characteristics of cranes, as well as the steps used during crane selection and their relationship, covering the most significant changes that have occurred during the transformation of the selection process.
Energy efficiency is also playing an increasing role in logistics systems. But to join the global trend, knowledge of existing technologies is essential. Today, it is no longer enough for an asset to be low-consumption; it is also necessary to use the energy that is lost. To choose the right solution in a given area, it is essential to know the technological background, its advantages, disadvantages and conditions of applicability. In this publication we describe the most common energy harvesting systems and their applications. We examine the solutions used in logistics systems and the areas where energy harvesting systems can be introduced and applied. We will examine future application possibilities that contribute to a more efficient use of energy
Copyright (c) 2025 Sándor Nagy, Péter Tamás
Optimizing Logistics Networks with Integrated Sustainability and Corporate Social Responsibility (CSR)
Optimizing logistics networks today presents increasing challenges for companies, particularly due to the need to integrate sustainability and corporate social responsibility (CSR). The aim of this research is to explore the strategies and methods through which the efficiency of logistics processes can be improved while reducing environmental and social burdens. Guided by the principles of sustainability, there is growing emphasis on green logistics solutions, such as low-emission transport modes, energy-efficient warehouse management systems, and intelligent route optimization. In addition, integrating CSR principles into logistics decision-making contributes to increased social responsibility, for example through ethical sourcing, ensuring employee well-being, and supporting community development programs. This study examines how sustainability considerations and CSR can be embedded into logistics network optimization processes without causing significant deterioration in costs or service levels The analysis covers best practices applied by companies, as well as the challenges and limitations associated with implementing sustainable and responsible logistics strategies. The findings of the study can contribute to enhancing corporate competitiveness by demonstrating the successful integration of CSR and sustainability principles into logistics processes. Optimized and responsible logistics networks not only mitigate environmental and social impacts, but also offer long-term economic benefits for companies.
Copyright (c) 2025 Szabolcs Szentesi, Gábor Nagy
Increasingly diversified consumer needs force market players into a competitive situation where the optimal design and operation of the entire supply chain becomes essential for survival and economic efficiency. This can only be achieved if the elements of the supply chain can respond to changing environmental conditions as quickly as possible. One of the biggest challenges to the optimal operation of supply chains, as a consequence of globalization, is uncertainty. In recent years, we have witnessed how a natural disaster or a pandemic can cause significant disruptions in the operation of supply chains, compelling companies to recognize the importance of stable supply chains. This article examines the impact of these uncertainty factors on the operation of supply chains and aims to explore the possibilities for identifying and managing risks.
Copyright (c) 2025 Tamás Járvás, Béla Illés, Ágota Bányai Tóth
Optimizing Collection Center Location on a Heatmap Using the Weiszfeld Algorithm for the Fermat-Weber Problem
Facility location problems play an important role in logistics, particularly in the design of collection and distribution centers. This study presents a novel approach to determining the optimal location of a collection center based on existing collection tasks, represented by coordinates and associated quantities. The proposed method models the entire area using a heatmap, capturing the spatial distribution of goods to be collected. Based on this heatmap, the optimal location of the collection point is identified by solving the Fermat-Weber Problem (FWP) using the Weiszfeld Algorithm (WA), ensuring minimal materials handling costs. The study demonstrates how the heatmap representation enables a more flexible and dynamic facility location strategy compared to traditional point-based optimization approach. Numerical example shows that the locations derived from the heatmap closely approximate those computed directly from discrete collection points, making this approach suitable for collection tasks with dynamic and continuously changing demand patterns.
Enhancing supply chain agility and quality through digitalization
Digitalization is transforming supply chain management by enhancing agility, quality, and operational resilience. This paper explores how digital technologies, such as real-time data analytics, artificial intelligence, blockchain, and automation, drive improvements in supply chain efficiency. The study examines industry trends, best practices, and case studies that demonstrate the benefits of digital transformation in achieving faster response times, reducing errors, and improving traceability. Furthermore, the paper discusses challenges in implementation and how organizations can effectively integrate digital solutions to enhance competitiveness. The findings highlight the critical role of digitalization in building adaptive and high-quality supply chains.
Investigating the efficiency improvement possibilities of solar systems using systematic literature research
Today's energy-demanding industrial and residential environment, in view of future challenges, requires more efficient energy production, distribution and network development methods than ever before. In relation to the area, it became necessary to develop new system models and optimization methods, by applying which the planning, installation, logistics, operation and maintenance efficiency of the examined systems can be significantly increased. The important objective of the publication is to analyze and summarize the scientific results found so far on the topic, as well as to identify the scientific gap based on the obtained results.
Copyright (c) 2024 László Seres, Péter Tamás
Application possibilities of logistics simulation and AI in the case of intermodal terminals
Abstract: The paper addresses the fundamental operations and services of intermodal logistics terminals from the ground up. The information collection was primarily based on site visits to several companies, one of which was East-West Intermodal Logistics Service Ltd., and the other was ZÁHONY-PORT Ltd. (Záhony-Logistics and Load Handling Servicing Company). The process continued with data collection, where local leaders and managers provided information through PowerPoint documents and site tours. The entire information gathering process started with the understanding of the main details of the companies, followed by the site visits, and finally, the acquisition of the requested information. The next step was the processing of the collected information, of which the article only describes the analysed results. The application possibilities of AI are closely related to digitization and data collection. Without data, AI cannot be trained for the given task. To increase the available information, we can also use simulation methods (for generating so-called synthetic data), allowing us to introduce artificial intelligence in a relatively new field in a short time.
Copyright (c) 2024 Péter Kováts, Róbert Skapinyecz, Péter Tamás
Automatic material handling is basically used to implement the automatic movement of goods, but due to today's expectations, this technically requires high-level computer control of various sensing, control, and monitoring tasks. Due to flexible service needs, these tasks require dynamic implementation, which may require the use of intelligent solutions. In this article, I will review the interpretation and role of intelligent material handling in modern service systems, and outline the concept and levels of intelligent material handling machines in terms of different device versions. In addition, I will present the intelligent solutions and their application areas encountered in logistics activities today through examples.
Encouraging the electrification of road transport at the regional level by creating an appropriately designed logistics centre
The purpose of this paper is to examine how the more intensive electrification of urban and regional freight transport could be promoted with the help of a logistics centre to be created specifically for this purpose. Electrification requires more and more attention to make the transport of goods sustainable and to reduce harmful emissions. Besides, the advantages of electric freight transport can be, for example, the lighter regulations for electric cars and the tender resources that can be used for their purchase. However, while the technological capabilities of electric road freight transport vehicles are rapidly evolving careful infrastructural planning and expansion are still required to aid their wider adoption. For electric goods transport to be realized in an efficient way, the location of a possible logistics centre in the examined region – the city of Miskolc and its surroundings – is presented, based on the analysis of the local infrastructural conditions.
Copyright (c) 2024 Péter Schein, Róbert Skapinyecz
Application of LSTM model for forecasting production orders
Production planning is critical in modern industry, especially in custom machine manufacturing, where efficiency and meeting deadlines are essential. Time series analysis has become pivotal in optimizing production systems in recent years. This study presents the application of LSTM neural networks for production scheduling predictions, modeling temporal patterns and seasonal fluctuations based on historical data. The goal is to enable more efficient planning and accurate delivery times, thereby improving overall production performance. Preliminary results suggest that LSTM can outperform traditional statistical models, such as linear regression. It is crucial to tailor the model to the company's specific needs and relevant data.
Copyright (c) 2024 Péter Veres, Zoltán Baráth
Challenges of Logistics Processes in Urban Consolidation Centers to Enhance Efficiency and Sustainability
This article highlights the growing importance of Urban Consolidation Centers (UCCs) in sustainable urban logistics, offering a comprehensive literature review of their role in improving efficiency and reducing environmental impacts. Urban Consolidation Centers (UCCs) are gaining recognition as a critical solution for addressing urban freight challenges, such as congestion and pollution, by consolidating deliveries in central urban areas. The article provides an overview of key logistics planning tasks essential for UCC design and operation, including location and layout planning, routing optimization, warehouse design, and the integration of emerging mobility solutions like e-mobility and micromobility. Additionally, it explores various operational strategies, such as cross docking, consignment, and postponement, that contribute to UCCs’ effectiveness. The article summarizes insights from recent studies to present the critical design considerations.
Copyright (c) 2024 Lívia Vass, Tamás Bányai
The transportation systems of modern cities face growing challenges due to increasing populations and urbanization, resulting in reduced efficiency, heightened air pollution, and significant environmental strain. Micromobility solutions, such as electric bicycles and scooters, have emerged as effective and sustainable alternatives, offering reduced emissions and promoting the efficient use of resources. This study expands on the concept and applications of micromobility, particularly its role in logistics, with a focus on the "last mile" concept. This critical segment of the logistics chain emphasizes optimizing the final phase of delivery processes, illustrated here through a route planning analysis from the perspective of a fast-food delivery courier, incorporating the consolidation of purchasing and utility costs for various delivery methods. To deepen the understanding of micromobility's impact, this research includes a comparative case study conducted in Miskolc, Hungary, and Bishkek, Kyrgyzstan. The analysis examines the distinct urban contexts of these cities, assessing the efficiency, environmental benefits, and practical applications of micromobility solutions in their respective restaurant delivery ecosystems.
Copyright (c) 2024 Péter Veres, Akylbek Umetaliev, Tamás Bányai, Boglárka Gombár, Péter Tamás
From steam to IoT-supported cross-border logistics platforms: The social, economic, and logistical impacts of the industrial revolutions
This paper explores the economic, social, and logistical impacts of the four industrial revolutions, highlighting how each phase of industrialization transformed societies and economies. The analysis covers shifts in production methods, labor dynamics, and market structures that reshaped economic frameworks and influenced wealth distribution, job creation, and industry specialization. Social consequences, including urbanization, migration, and the development of new social classes, are examined to understand the broader implications on family dynamics, labor rights, and quality of life. The study also addresses the critical role of logistical advancements – from steam transportation to digital supply chains – in expanding markets and driving globalization.
The Influence of Procurement Logistics Strategy on Organizational Hierarchies: Strategic, Tactical, and Operational Perspectives
This article discusses the impact of key procurement logistics tasks on strategic, tactical, and operational levels within organizations. Procurement activities such as supplier selection, make-or-buy decisions, and the implementation of just-in-time (JIT) and just-in-sequence (JIS) supply systems significantly shape long-term corporate strategies by aligning supply chain objectives with business goals. Outsourcing and the choice between centralized and decentralized procurement approaches influence tactical decisions, affecting cost efficiency, flexibility, and risk management. At the operational level, decisions regarding transportation modes and loading unit selection ensure the smooth flow of goods and materials while optimizing daily operations. The integration of these procurement functions strengthens organizational resilience and enhances responsiveness to market dynamics. This article emphasizes the interconnectedness of procurement tasks across hierarchy levels, demonstrating how strategic alignment improves supply chain efficiency. Tactical adjustments provide adaptability, while operational decisions support seamless execution. The findings underline the critical role of procurement logistics in achieving overall business competitiveness. By analyzing these functions, this research provides insights into their cascading effects across organizational hierarchies, contributing to the development of more robust procurement strategies.
The economic role of logistics quality assurance in the era of digitalisation
Digitalisation has fundamentally transformed the logistics sector, elevating the importance of quality assurance as a cornerstone for operational efficiency, cost management, and customer satisfaction. As logistics processes become increasingly complex and data-driven, the role of quality assurance extends beyond traditional frameworks to embrace cutting-edge technologies such as artificial intelligence, blockchain, and the Internet of Things (IoT). This paper explores the economic implications of integrating these innovations into logistics quality assurance, focusing on their capacity to reduce operational costs, enhance supply chain transparency, and foster long-term customer loyalty. Through a detailed analysis, the study demonstrates how the convergence of digitalisation and quality assurance facilitates real-time monitoring, predictive analytics, and automation, resulting in significant competitive advantages. By adopting a hybrid approach that integrates traditional quality management principles with advanced digital tools, logistics companies can unlock unprecedented economic and strategic opportunities, positioning themselves as leaders in an increasingly global and digitised marketplace.
Digitalizing quality assurance in logistics: trends and challenges
The rapid advancement of digital technologies has revolutionized logistics networks, offering unprecedented opportunities for enhancing quality assurance. This paper continues the discussion on the role of digitalization in logistics, focusing on the latest technological innovations, implementation challenges, and future trends. By examining the impact of digital tools such as IoT, AI, and blockchain on logistics quality assurance, this paper provides a comprehensive overview of how companies can leverage these technologies to improve operational efficiency and meet the growing demands of the global market. The paper also addresses the challenges associated with digital transformation, including cybersecurity risks and implementation barriers, and proposes strategies for overcoming these obstacles. Finally, the paper explores emerging trends in logistics digitalization and their implications for the future of supply chain management.
Copyright (c) 2024 Gábor Nagy, Szabolcs Szentesi, Károly Attila Varga
Evolution and development tendencies of material handling machines
The tools used during mobilities are very diverse, but their operation and structure can be traced back to the same basic principles that created the material handling machines during the previous centuries. Today, knowledge of material handling machines has become a basic necessity not only for industrial and service processes, but also for people's everyday lives, since our lives are almost unimaginably filled with different means of transportation, or without using the vehicles that transport and load our daily consumer goods. As in all areas, material handling is becoming more and more modern, and equipment that serves social and economic needs at a high level is used. One of the most defining characteristics of today's consumer society is extremely rapid change, which also affects our devices, so the design of material handling machines is also constantly changing. An important question of competitive service is how to meet rapidly changing needs. In my article, I review the development of material handling equipment, or the most important handling machines used in modern systems. Based on the outlined processes and technical changes, I will try to show where material handling is headed, what trends prevail today or are expected in server systems of the near future.
The always changing data problem of using AI in manufacturing - Using synthetic data from the digital twin to feed AI models
Production is becoming increasingly flexible, which also requires the flexibility of the support system for the production. And the key here is the speed of decisions, in which the support of modern artificial intelligence systems can be crucial. Flexible production is based on a well-planned control of production, which increasingly uses some artificial intelligence component. Artificial intelligence can already be useful in the early stages of planning the production line, and of course it can also control the daily operation of the production line after the installation of the production place or line. The biggest problem is supplying the neural network that controls the artificial intelligence with training data. The production lines typically change every 2-4 months, new products appear, the layout changes, and the main process data also changes due to the development of the processes. This results in the training data becoming outdated or obsolete very quickly and thus cannot be used to train models anymore. High-quality learning data can be produced by digital twin models of production lines. Such synthetic data has several advantages over data collected from production. In this article, we investigate how useful this synthetic data is during the life cycle of the production line.
Copyright (c) 2024 Zsolt Molnár, Péter Tamás, Béla Illés
With the spread of globalization, there is an increasing need for unique identification and traceability of products. This affects all elements of the supply chain, including warehousing. Identification of products, means of transport and storage facilities is a fundamental need in warehouse processes. Without it, modern industrial operations are unthinkable. With the advance of Industry 4.0, new technologies and new solutions have emerged, which can be applied when modernizing or designing a new system, weighing up the advantages and disadvantages. Our publication tries to help by describing and comparing the different systems. In addition to the three most common solutions, we also look at the developments expected in the near future, which are extensions and improvements of the current systems.
Copyright (c) 2024 Sándor Nagy, Péter Tamás
Practical experiences of digitalization and automation in logistics
Recently, digitalization and automation have gained more and more space, which has long been felt in the field of logistics. Although we can find examples of both in almost every major company, we can state that each company uses them to a different extent and in different areas. In addition to the fact that we find many different examples, it is typical that they are specifically customized and therefore their introduction requires additional expenditures and changes at other companies. What can and to what extent is it reasonable to digitize and automate? What are the prerequisites for these to be implemented cost-effectively and in the most targeted manner
Copyright (c) 2024 László Fükő, Gergely Váci, Adrienn Lukács, Zoltán Hegedűs, Csilla Mindszenti, Anita Menyhért, Ákos Cservenák, Péter Tamás
Simulation of container discharge dynamics using modified cellular automata
In the field of physical logistics, efficient and precise control of material flow during the emptying of containers such as silos and wagons is crucial. This study introduces a not conventional cellular automaton model to simulate spillage from containers. The model is implemented using Excel macros, providing a user-friendly and accessible platform for logistics professionals. By modifying the traditional cellular automaton framework, the simulation can accurately represents the dynamics of material flow during container emptying processes. The proposed method allows for fine-tuned control over the spillage by integrating specific constraints and parameters, enhancing operational efficiency and reducing material loss. The versatility of the model makes it applicable to a wide range of logistical scenarios, demonstrating its potential as a valuable tool in physical logistics management.
The role of industrial strategies in chemical production and service supply logistics processes
The research topic focuses on applying industrial strategies, especially in chemical industry logistics processes. The research aims to examine the future of the chemical industry in Hungary and worldwide. The question is what is the role of logistics in the chemical supply chain and the difficulties faced in this area? The main difficulty that can be encountered is achieving effective automation and digitalization while maintaining appropriate safety, which is an essential aspect of the chemical industry. The research presents an existing AGV transport solution that significantly facilitates on-site logistics processes within a chemical company. In the research, the potential development areas are found which could be interesting to explore in logistics processes are also discussed.