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.
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.
Collaborative logistics: An innovative strategy to address future logistics challenges
This article delves into the implementation and benefits of collaborative logistics, a strategic approach wherein logistics stakeholders engage in close cooperation to optimize resources and processes. The significance of a robust technological infrastructure is underscored, enabling real-time information sharing and integrated planning, which are pivotal for enhancing supply chain efficiency, reducing costs, and fostering sustainability. The discussion includes various collaborative logistics models, such as shared transportation routes and warehouses, which are instrumental in minimizing waste and mitigating environmental impact. The article further emphasizes the critical role of trust, transparency, and comprehensive legal frameworks in ensuring the success of such collaborations. By incorporating sustainability aspects into inventory management practices, companies can not only achieve substantial economic and environmental benefits but also secure a long-term competitive advantage. This integrated approach aligns with contemporary demands for sustainable operations, ultimately contributing to reduced global environmental footprint and compliance with stringent regulatory standards.
Copyright (c) 2024 Gábor Nagy, Szabolcs Szentesi
Green logistics: Transforming supply chains for a sustainable future
In the face of escalating climate change and the increasing significance of sustainability, companies are shifting towards green logistics solutions. This article explores the various sustainable practices within logistics, the implementation of green logistics solutions, and the strategies for reducing carbon footprints. The logistics sector, a significant contributor to global greenhouse gas emissions, is under increasing pressure to adopt environmentally friendly practices. By examining case studies and industry data, we provide a comprehensive analysis of the current trends and future directions in sustainable logistics. Our study highlights the importance of integrating eco-friendly transportation, energy-efficient warehousing, sustainable packaging, and advanced inventory management systems. Additionally, we discuss the challenges companies face in adopting green logistics, such as high initial costs, technological limitations, and regulatory compliance. Through this analysis, we aim to shed light on the transformative potential of green logistics in mitigating climate change and promoting long-term sustainability in the supply chain industry.
An innovative operational model for companies operating bus fleets
The organization and operation of public transport have not escaped the impact of changes taking place worldwide which are driven and influenced by the rapid spread of disruptive technologies and efforts related to climate protection and sustainable development. The challenges posed by the proliferation of electric vehicles (EVs) – including electric buses (BEBs) – require new solutions and new ways of thinking, and a more holistic and innovative operating model for road transport companies using buses. In this model, the authors present a methodology for the delivery of contracted scheduled services that, as part of a systems approach, links a mixed fleet and its appropriate route plan within a data-driven circular operational model, allowing room for innovative energy solutions, the use of renewable energy sources and for satisfaction of increasingly demanding climate and sustainability requirements, all using a logistics science approach.
Copyright (c) 2024 Vince Kruchina, Péter Tamás, György Tibor Sárközi, Béla Illés
Water resources in Commonwealth of Independent States countries: a literature review
Research on the assessment of water resources in agricultural regions is a prominent area of study. These resources are vital for many arid and agricultural areas, including those in the Commonwealth of Independent States (CIS). This paper provides a comprehensive review of research trends, analyzing scientific production and published articles on water resources in CIS countries from 2000 to 2023. We collected, reviewed, and analyzed 163 publications from the Scopus database meeting our selection criteria. The bibliometric analysis revealed publications in English (149) and Russian (15), annual publication counts, document types, top papers, journals, funding sponsors, subject categories, and affiliations by country and institution. We also examined co-authors and keyword co-occurrence to identify knowledge clusters in the literature. The analysis highlighted the need for international research to enhance scientific exchange on this topic. Long-term, continuous research and sustainable development of water resource concepts are essential for future agricultural and water management integration. This study may inspire new trends in agricultural development, focusing on irrigation efficiency, water distribution, and climate change within a sustainable circular economy.
Copyright (c) 2024 Tynchtyk Mukanov, Akylbek Umetaliev, Asel Mambetkulova, Almaz Kaiyrbekov, Zulfiya Kannazarova, Gulsara Monkayeva, Ákos Cservenák, Péter Tamás
New trends in sustainable supply chains: insights from recent studies
Research on the Sustainable Supply Chain is a significant focus within the academic community, highlighting the importance of smart logistics, smart transportation, and digital technologies. This paper reviews current research trends from 2014 to 2023 by analyzing publications from the Web of Science database. The bibliometric analysis covers publication counts, document types, top-cited papers, leading journals, main funding sponsors, and distribution by subject categories, countries, and institutions. Additionally, co-authorship and keyword co-occurrence were examined to identify key knowledge components and research clusters. The analysis underscores the need for expanded international research and continuous integration of Sustainable Supply Chain concepts for future development. The goal of the document is to provide a comprehensive review of research and industrial trends and key insights in the fields of smart logistics, smart transportation, and digital technologies in recent years.
Copyright (c) 2024 Tynchtyk Mukanov, Akylbek Umetaliev, Asel Mambetkulova, Almaz Kaiyrbekov, Irina Goncharova, Péter Veres, Péter Tamás, Zulfiya Kannazarova
Innovative techniques for the storage and transportation of hazardous materials
The ADR is an international agreement that regulates the controlled and safe transportation of hazardous materials, which is crucial for protecting human health and the environment. In our research, as a second-year logistics engineering student and advisor, we analyze modern approaches to the storage and transportation of hazardous materials. We present the historical background of hazardous materials, various transportation and storage methods, and their labeling systems, such as CLP pictograms and ADR markings. We also discuss storage techniques, legal implications, and provide examples to illustrate their importance based on everyday hazardous materials. The transportation of hazardous materials significantly impacts multiple industries; therefore, we propose suggestions to improve the efficiency of transportation processes through the use of new packaging for transportation and storage.
Copyright (c) 2024 Bence László Lukács, Péter Veres
Effects of operation parameters of material handling machines to the applicability
In the past period, the structure and technical elements of material handling machines have changed significantly due to changes in service expectations, technical possibilities and environmental conditions. There are devices that are easier to adapt to certain technical changes, while others may be completely out of industrial use. The purpose of this article is to provide an overview of the most important properties affecting the operation of material handling equipment and to present the relationships between these properties and the applicability. By exploring the relationships between these properties and the most typical areas of application, it is possible to select the most suitable tools. An example task is also presented in the article to show how the method works.
Real-time supplier selection using digital twin technology: an Analytic Hierarchy Process-based optimization approach
Today, the selection of the optimal suppliers plays an increasingly important role in the efficient operation of supply chains. One of the main reasons for this is that the fourth industrial revolution has seen the emergence of increasingly complex supply chains, involving a growing number of suppliers to meet increasingly diversified customer needs. While manufacturing companies use framework contracts to secure the parts needed to meet uncertain customer needs, framework contracts often fix requirements for a fixed future period in the light of past supplier performance. The Fourth Industrial Revolution is enabling the use of a number of new methods and tools to collect real-time data on supply chain operations and to define key performance indicators (KPIs) that show the performance of individual players in the value chain in real time. In this paper, the author proposes a supplier selection method based on analytic hierarchy process (AHP) that is able to determine the optimal suppliers for current component requirements in real time based on real-time information about the state of each player in the supply chain.
Technology in Industry 5.0: critical components and their impact
Industrial revolutions have always brought about major changes in the life of mankind. The Fourth Industrial Revolution has revolutionized industrial production through digitalisation, but has also had a major impact on service processes. However, the so-called Industry 4.0 technologies applied in the context of the fourth industrial revolution also allow new goals to be achieved that were not yet clearly defined in the paradigm of the fourth industrial revolution: sustainability, resiliency, and human-centricity. In this article, the author seeks to answer the questions of what existing technologies can be used to achieve the goals of sustainability, resiliency, and human-centricity, and what are the main research directions that can be used to develop a sustainable production and service environment.
Revolutionizing Production Logistics: Industry 5.0's Impact
The article delves into the transformative impact of Industry 5.0 principles on production logistics, aiming to enhance manufacturing efficiency and responsiveness by integrating advanced concepts like the milkrun, real-time scheduling, and optimization within smart factories. Addressing evolving customer needs for rapid customization, it seeks to revolutionize traditional approaches to production logistics, establishing a more adaptive and dynamic manufacturing ecosystem. This aligns with the advent of Industry 5.0, which heralds a new era in technological advancements and digitalization, fostering unprecedented transparency in corporate processes. Going beyond the Fourth Industrial Revolution, it seamlessly integrates the corporate value chain and supply network, emphasizing the importance of leveraging integration opportunities between production management and logistics amidst intensifying market competition. The study meticulously examines the role of production logistics within the corporate logistics system, shedding light on the tangible benefits of real-time scheduling and aiming to provide crucial insights for businesses navigating this new industrial revolution.
Drones and their application in logistics
The widespread adoption and utilization of drones often raise questions regarding what exactly constitutes a drone and the characteristics that categorize a device into this category. In the first section, we attempt to define the concept of a drone, emphasizing its diversity and the misconceptions surrounding its terminology. The second section introduces classifications based on the main features of drones to better understand their application areas. The third and fourth sections examine daily and military uses, as well as the logistical role of drones, highlighting emerging challenges and limitations. Finally, we summarize the potential dangers of drone use, legal restrictions, as well as public opinion and cybersecurity concerns, which frequently hinder their broader adoption and application.
Copyright (c) 2024 Levente Boncsér, Ákos Cservenák, Patrick Kröpfl, Christian Landschützer
Neural Networks for Vehicle Routing Problem
The Vehicle Routing Problem is about optimizing the routes of vehicles to meet the needs of customers at specific locations. The route graph consists of depots on several levels and customer positions. Several optimization methods have been developed over the years, most of which are based on some type of classic heuristic: genetic algorithm, simulated annealing, tabu search, ant colony optimization, firefly algorithm. Recent developments in machine learning provide a new toolset, the rich family of neural networks, for tackling complex problems. The main area of application of neural networks is the area of classification and regression. Route optimization can be viewed as a new challenge for neural networks. The article first presents an analysis of the applicability of neural network tools, then a novel graphical neural network model is presented in detail. The efficiency analysis based on test experiments shows the applicability of the proposed NN architecture.
Copyright (c) 2024 László Kovács, Ali Jlidi
The main purpose of this article is to present the recycling of vehicle wrecks. The article covers how we interpret recycling and why it is important today in the form of conceptual framework. The paper also details the appearing of recycling in logistics. The research revealed that there are many reasons why we recycle vehicles, and this shows how necessary it is to recycle wrecks. The article also covers the process of recycling of car wrecks, starting with transporting of wrecks to junkyards, continuing with the removal and disassembly of car wrecks, and how the parts are handled and how the tools are reused. The researches also examines the case, if the car wreck is no longer refurbishable and removable.
Copyright (c) 2024 Anett Flaskó, Ákos Cservenák
A Practical solution to the usability of Tecnomatix Plant Simulation software to increase production
This article presents a practical solution to improve the usability of Tecnomatix Plant Simulation software to increase production. In today's dynamic industrial environment, optimizing manufacturing processes is crucial to achieving a competitive advantage. Tecnomatix Plant Simulation is a powerful tool for modeling and simulating manufacturing processes, making it easy to identify inefficiencies and opportunities for improvement. However, maximizing the utility of the software often presents challenges due to its complexity and the need for specialized expertise. We illustrate the implementation of our approach through case studies in a variety of industrial environments, demonstrating concrete improvements in production efficiency and performance. By bridging the gap between advanced simulation technology and practical application, our solution offers a path for manufacturers to unlock greater productivity and competitiveness in today's dynamic market environment.
Copyright (c) 2024 Ján Kopec, Miriam Pekarčíková, Peter Trebuňa, Jozef Trojan
B2C-oriented quality control of logistics services based on an economic perspective
The research of the quality control of logistics services relevancy is determined by the increasingly dynamic and competitive nature of the market requires companies to ensure the high quality of their logistics services, especially in the sphere of business-to-consumer (B2C). The research aims to analyse and identify optimal approaches and strategies for quality control of logistics services in B2C interactions. Among the methods used were the analytical method, statistical method, functional method, system analysis method, deduction method, synthesis method and comparison method. In the process of the study, the current practice of quality control in B2C logistics was analysed. An economic relevance assessment identified how service quality can affect business and also assessed the potential benefits of improving it. Approaches to quality control were analysed, including such methods as statistical data analysis, internal and external audits, application of quality standards, and use of technology for monitoring and tracking processes. Opportunities to optimise logistics processes and their impact on overall quality were also considered. A comparative analysis of practices in the industry identified best practices and innovations. The study summarised current trends and provided practical recommendations for companies seeking to optimise quality control of logistics services on a cost-effective basis. The practical relevance of the findings is to provide companies with valuable tools and insights to improve their logistics operations and enhance customer service.
Copyright (c) 2024 Azyk Orozonova, Aigerim Akmatova
Launching of the logistics double diploma program beetween Hungary and Kyrgyzistan:
In recent years, there has been a growing demand for education in the field of intralogistics, as companies began to treat this segment as a separate area, not just as part of procurement or storage. As a result, the demand for professionals specialized in this area has increased, not only in Europe but worldwide. The University of Miskolc, in collaboration with its former partner, the Kyrgyz State Technical University, has established a dual degree program with a significant emphasis on production logistics. This article presents the origin and background of the program, the initial challenges of course launches and how they were overcome, as well as providing insights into the future of logistics education.
Copyright (c) 2024 Péter Veres, Péter Tamás, Akylbek Umetaliev