P. Németh

57215455632

Publications - 16

Metaheuristics in Logistics: Increasing the Efficiency of Algorithms by Defining Appropriate Parameter Settings

P. Németh Tamara J. Bíró

Publication Name: Chemical Engineering Transactions

Publication Date: 2024-01-01

Volume: 114

Issue: Unknown

Page Range: 1009-1014

Description:

Metaheuristic algorithms are well-researched and popular techniques in the field of optimization, which can solve complex tasks with a large number of instances with acceptable quality. They are extremely problem- and parameter-sensitive methods, so the exact definition of the necessary data and the testing of the appropriate parameters fundamentally determine the efficiency and performance of an algorithm. This is a time-consuming and expensive task. In many cases, when applying a metaheuristic, it works properly with the variables of a given task and there is no specific interval where a given algorithm can still be effective. To increase efficiency and reduce costs, the authors defined a general parameter definition by applying the Ant Colony Optimization algorithm applicable to the simple Traveling Salesman Problem with the number of cities n=50, where for values of 30 ≤ n ≤ 50, the defined parameter setting structure can be properly applied based on the results. The proposed parameter setting structure can work effectively not only for the task presented in the paper, but also for any similar task within the defined interval. In the case of tasks of a similar size, it is not necessary to experiment with the parameters to achieve the appropriate result, thereby reducing the optimization time and improving efficiency. The presentation of the set parameter setting scenarios and the obtained results all contribute to reducing the optimization time in the field of logistics as well. All of this can also help facilitate the practical application of metaheuristics in solving NP-hard tasks.

Open Access: Yes

DOI: 10.3303/CET24114169

The interplay between the physical internet and logistics: A literature review and future research directions

Abderahman Rejeb P. Németh Safwen Ben Neila

Publication Name: Acta Technica Jaurinensis

Publication Date: 2022-02-23

Volume: 15

Issue: 1

Page Range: 22-35

Description:

In recent years, there is a need for new methods and frameworks for planning transport systems, improving their efficiency, and addressing globalisation and sustainability challenges. In addition, the use of existing capacities and infrastructure has raised significant issues in the transport sector. To achieve an economically, environmentally, and socially sustainable logistics ecosystem, Benoit Montreuil introduces the concept of “Physical Internet” (PI) to increase the efficiency and effectiveness of logistics networks. As a ground-breaking transportation philosophy, the PI aims to revolutionise freight and logistics transport. Moreover, the PI can enhance logistics productivity through the organisation of large-scale pooling. Similar to Digital Internet that conveys data, the PI strives to connect, synchronise, and ship regular modular containers from the point of origin to an exact destination, thereby creating robust and collaborative logistics networks. While the literature on the PI is relatively growing, there is still a lack of reviews that synthesise this knowledge body, identify current trends and gaps, and advance the research more broadly. Therefore, this study aims to investigate the potentials of the PI for the development of sustainable logistics networks. Overall, 59 studies are selected from leading academic databases and further analysed. The review findings reveal that most scholars focus on the optimisation of transport at the tactical and organisational stage while devoting little attention to the contribution of the PI to the social sustainability of logistics compared to the economic and environmental aspects.

Open Access: Yes

DOI: 10.14513/actatechjaur.00638

Physical Internet: A solution for the Supply Chain disruptions during the COVID-19 pandemic

P. Németh Ben Neila Safwen

Publication Name: Acta Technica Jaurinensis

Publication Date: 2021-11-24

Volume: 14

Issue: 4

Page Range: 577-598

Description:

In this paper, we will specify our research on the impact of the COVID19 on Supply Chain Management and show up the critical issues and how the digital solution like the Physical Internet (PI, π) could solve the disruptions of production or delivery of a Supply Chain. The Physical Internet is still an emerging phenomenon in which it is intended to replace the current logistics model by encompassing new technologies such as Artificial Intelligence, Big Data, the Internet of Things (IoT), and others. This article aims to compose conceptual research to describe Supply Chain Management problems during the COVID-19 pandemic and represent the Physical Internet as a solution for this disruption based on various journal articles, papers, websites, and managers' experiences. Further, this study helps increase the understanding of scholars and practitioners on how the novel PI paradigm can solve COVID-19-induced Supply Chain disruptions. Furthermore, the Physical Internet and other modern technologies in the business world are necessary and recommended, as these current issues now require quick decisions and up-to-date knowledge.

Open Access: Yes

DOI: 10.14513/actatechjaur.00579

Development of production control in small batch production

T. B. Ladinig P. Németh

Publication Name: Matec Web of Conferences

Publication Date: 2016-10-25

Volume: 81

Issue: Unknown

Page Range: Unknown

Description:

Our aim with this paper is to develop a new performance measurement and control system for small batch production in the automotive industry. For this reason, we present our previous research results for warehouse performance measurement and adopt its methodology to production control. The proposed method is based on artificial intelligence (neural networks).

Open Access: Yes

DOI: 10.1051/matecconf/20168106001

Use of Artificial Neural Networks in the production control of small batch production

T. B. Ladinig B. Ferenczi P. Németh

Publication Name: Proceedings of the 2016 International Conference on Artificial Intelligence Icai 2016 Worldcomp 2016

Publication Date: 2016-01-01

Volume: Unknown

Issue: Unknown

Page Range: 237-240

Description:

Our aim with this paper is to test a new performance measurement and control system for small batch production in the automotive industry with the help of Artificial Neural Networks. After the introduction of small batch production at an automotive company a possible use of this method for production control is presented.

Open Access: Yes

DOI: DOI not available

Improving the Strategic Level Performance Measurement in Warehousing Processes

János Botzheim Peter Foldesi P. Németh

Publication Name: Smart Innovation Systems and Technologies

Publication Date: 2012-12-01

Volume: 16

Issue: Unknown

Page Range: 365-374

Description:

In our paper we propose a new method for the strategic level performance measurement at a warehouse in Hungary. The growing challenge of remaining successful in the warehousing forced the given warehouse to introduce and use a new tool for monitoring and forecasting strategic level indicators. Our proposed tool uses computational intelligence to establish connection between basic operational level data and important strategic level indicators. In this article we present the idea behind this tool and the process of programming and learning with company data. Finally, an evaluation is presented based on the results of the program run. © Springer-Verlag Berlin Heidelberg 2012.

Open Access: Yes

DOI: 10.1007/978-3-642-29920-9_37

Optimization of strategic level performance measurement and decision making using artificial neural network

János Botzheim Peter Foldesi Csaba Tápler P. Németh

Publication Name: 2012 IEEE International Technology Management Conference Itmc 2012

Publication Date: 2012-11-01

Volume: Unknown

Issue: Unknown

Page Range: 93-97

Description:

In our paper we propose a new method for the strategic level performance measurement and decision making by presenting two case studies performed in 2011. We proposed a computational intelligence method to establish connection between basic operational level data and important strategic level indicators. In the first case study this indicator is related to performance measurement. In the second case study the indicator is the contribution margin of the given company. After the introduction we present the process of programming and learning with actual company data. Finally an evaluation of the results is presented based on the program runs. © 2012 IEEE.

Open Access: Yes

DOI: 10.1109/ITMC.2012.6306360

Adopting RFID in supply chains

Tamás Hartványi Lajos Tóth P. Németh

Publication Name: 2006 IEEE International Conference on Mechatronics Icm

Publication Date: 2006-12-01

Volume: Unknown

Issue: Unknown

Page Range: 263-266

Description:

Within the framework Interreg IIIC REGINS (Regional standardized Interfaces for a better integration of regional SMEs in the European Economy - http://www.regins.org) the Department of Logistics and Forwarding at the Széchenyi István University in Gyor, Hungary started a project with the title "Promotion of RFId (Radio Frequency Identification)". The project started in June 2005, and ended in May 2006. Our partners are situated in Upper Austria, Stuttgart Region, and Lombardy Region. Our project screens the state of the art and the ongoing development of RFId technology and processes. Special focus is on the needs of SMEs. This paper is the first in a series of publications regarding this topic, screening the state-of-the-art of RFId systems and the challanges and possibilities of the introduction to various supply chains. © 2006 IEEE.

Open Access: Yes

DOI: 10.1109/ICMECH.2006.252535

Emerging Importance of Supply Chain Attitudes

P. Németh Andrea Rankl

Publication Name: Chemical Engineering Transactions

Publication Date: 2024-01-01

Volume: 114

Issue: Unknown

Page Range: 1015-1020

Description:

The nature of relationships within supply chains and understanding the dynamics of interactions between the supply chain members are key factors in today's globalised economy, where speed, efficiency and flexibility in the flow of goods and information are crucial. Improving the efficiency of supply chains and managing their inherent risks has become one of today's most pressing economic challenges, directly affecting not only the competitiveness of companies but also the achievement of sustainability goals. To better understand those relations among companies, a deeper understanding of the attitudes of the different supply chains is inevitable. This paper is the inaugural work towards this research. Analysing attitudes towards relationships within supply chains is a critical aspect of understanding interactions between companies and the performance of networks. Digital transformation, depth of customer integration, relationship engagement, and efficiency in joint problem-solving are factors that have a significant impact on supply chain flexibility and performance. To achieve sustainability and resilience, companies need to adopt adaptive and proactive strategies that can address environmental, social and economic challenges and anticipate and respond to future market changes. The projected aim is to understand the attitude of the organisation as an independent entity, not as an attitude generated by the individuals of the management.

Open Access: Yes

DOI: 10.3303/CET24114170

A Life Cycle Assessment Framework for Evaluating the Climate Impact of Hydrogen-Based Passenger Vehicle Technologies Toward Sustainable Mobility

P. Németh Péter Németh Botond Mecséri Barna Hanula

Publication Name: Hydrogen Switzerland

Publication Date: 2025-09-01

Volume: 6

Issue: 3

Page Range: Unknown

Description:

Hydrogen-based mobility solutions could offer viable technology for sustainable transportation. Current research often examines single pathways, leaving broader comparisons unexplored. This comparative life cycle assessment (LCA) evaluates which vehicle type achieves the best environmental performance when using hydrogen from grey, blue, and green production pathways, the three dominant carbon-intensity variants currently deployed. This study examines seven distinct vehicle configurations that rely on hydrogen-derived energy sources across various propulsion systems: a hydrogen fuel cell electric vehicle (H2FCEV), hydrogen internal combustion engine vehicle (H2ICEV), methanol flexible fuel vehicle (MeOH FFV), ethanol flexible vehicle (EtOH FFV), Fischer-Tropsch (FT) diesel internal combustion vehicle (FTD ICEV) and renewable compressed natural gas vehicle (RNGV). Via both grey and blue hydrogen production, H2 FCEVs are the best options from the viewpoint of GWP, but surprisingly, in the green category, FT-fueled vehicles take over both first and second place, as they produce nearly half the lifetime carbon emissions of purely hydrogen-fueled vehicles. RNGV also emerges as a promising alternative, offering optimal engine properties in a system similar to H2ICEVs, enabling parallel development and technological upgrades. These findings not only highlight viable low-carbon pathways but also provide clear guidance for future targeted, detailed, applied research.

Open Access: Yes

DOI: 10.3390/hydrogen6030068

Comparative Life Cycle Assessment of Alternative Fuels for Transport Sector Decarbonisation

P. Németh Péter Németh Chunyan Si Botond Mecséri Petar Sabev Varbanov

Publication Name: Journal of Sustainable Development of Energy Water and Environment Systems

Publication Date: 2025-12-01

Volume: 13

Issue: 4

Page Range: Unknown

Description:

Decarbonising the transport sector is crucial, yet selecting the most suitable alternative fuels remains challenging. This study applies life cycle assessment to evaluate six alternative fuels, such as hydrogen, compressed natural gas, methanol, ethanol, Fischer-Tropsch gasoline, and diesel, against conventional gasoline, diesel, and grid electricity, focusing on global warming potential and acidification potential. Emissions were analysed using the Greenhouse gases, Regulated Emissions, and Energy use in Technologies model under two scenarios: current technologies (2025) and projected advancements (2050). The results indicate that, compared to gasoline, compressed natural gas reduces global warming potential and acidification potential by 27% and 23% in the short term, while gaseous hydrogen achieves reductions of 63% and 46% in the long term, respectively. These findings reinforce the theoretical foundation for transport sector decarbonisation and contribute to its sustainable development. Future research will broaden the assessment framework by incorporating complete vehicle life cycle analysis, evaluating additional alternative fuels, and integrating a wider set of indicators.

Open Access: Yes

DOI: 10.13044/j.sdewes.d13.0607

Managerial Attitudes and the Integration of Artificial Intelligence: Impacts on Supply Chain Flexibility

P. Németh Andrea Rankl

Publication Name: Chemical Engineering Transactions

Publication Date: 2025-01-01

Volume: 121

Issue: Unknown

Page Range: 145-150

Description:

Artificial intelligence (AI) is rapidly becoming a strategic driver of competitiveness in supply chain management (SCM), enhancing flexibility, efficiency, and responsiveness. However, successful adoption depends not only on technology but also on managerial attitudes and organizational culture. Understanding this behavioral dimension is essential in explaining how leadership influences AI-driven adaptability and resilience. This study develops a conceptual, interdisciplinary framework linking management theory, organizational psychology, and SCM to examine how leadership styles—particularly servant, transactional, and transformational—shape AI integration and adaptability. The proposed triadic model identifies managerial attitudes, AI-supported decision-making, and information sharing as key behavioral and technological enablers of supply chain flexibility. Findings highlight that innovation-oriented leadership and strong information-sharing cultures accelerate AI adoption and strengthen adaptive capacity, while hierarchical, risk-averse attitudes constrain its impact. The study contributes to a behavioral perspective of SCM, showing that flexibility in AI-enabled supply chains results from the interaction between human and artificial intelligence.

Open Access: Yes

DOI: 10.3303/CET25121025

Systems Engineering Based Sustainability Improvement in Automotive Product Development

P. Németh Tamás Kolossváry Péter Németh

Publication Name: Journal of Engineering Management and Systems Engineering

Publication Date: 2023-03-01

Volume: 2

Issue: 1

Page Range: 53-60

Description:

Affected by new trends, automobile companies have altered stakeholder requirements on their main product-the automobile. With enactment of new regulations concerning sustainability, new features appeared quickly, such as electrification, sharing services, autonomous mobility and so on. In this study, we present sustainability as a stakeholder and analyze the method of its realization in Systems Engineering (SE) based product development. Formula SAE provides a validated setting to conduct experiments on integrating sustainability into the classical product requirement architectures. By taking into consideration the use of SE or adding other methodological frameworks, findings can establish a new setting in sustainability research. The results of this study may be enlightening for scholars and practitioners and calls for further research on embedding sustainability requirements in automotive product development by using SE.

Open Access: Yes

DOI: 10.56578/jemse020103

Leveraging Forest Resources, Green Energy, and Digitalization: Contextual Evidence Apropos Sustainable Growth in the Lens of Climate Resilience Policies

Li Junwen Mohd Ziaur Rehman Urszula Mentel P. Németh Kamil Gemra Péter Németh Li Junwen

Publication Name: Land Degradation and Development

Publication Date: 2026-05-30

Volume: 37

Issue: 9

Page Range: 4411-4425

Description:

Sustainable forest landscape, digitalization, and green energy are the core pillars of the European Union's policies to achieve sustainable growth; however, their impacts are divergent due to variant regional forest management policies, economic structures, and digital transformation. This study contributes to the literature by uniquely evaluating the asymmetric impacts of forest access, green energy, and digitalization on sustainable growth across the EU countries from 1991 to 2022. It introduces the moderating role of digitalization on forest access, a dimension that has been unexplored previously. This analysis employs the method of moments quantile regression (MMQR) to address the slope heterogeneity and cross-sectional problems. The outcomes exhibit that green energy and digitalization are the drivers of sustainable growth, while their effects are pronounced at higher and lower growth quantiles, respectively. In contrast, forest access inhibits economic sustainability, with larger impacts realized in high-growth economies. The interaction term indicates that the applications of digital technologies in the forest landscape significantly support sustainable growth. The robustness analysis confirms the consistency of regression outcomes. These insights offer novel implications for EU climate and digital policy integration under the Green Deal and REPower EU agenda.

Open Access: Yes

DOI: 10.1002/ldr.70413

Primary Sector Value Addition and Environmental Performance in BRICS: The Roles of Environmental Policy Stringency and Green Innovation

Sakiru Adebola Solarin Naif Alsagr P. Németh Péter Németh Shahid Ali Sakiru Adebola Solarin

Publication Name: Land Degradation and Development

Publication Date: 2026-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

In recent decades, the BRICS countries have experienced rapid economic growth, much of which has been driven by agriculture, natural resource extraction, and industrial exports. However, the continued expansion of these sectors is accompanied by growing environmental vulnerabilities. While value addition in agriculture, forestry, and fishing is crucial for development, it is also widely acknowledged as a contributor to land degradation. Against this backdrop, this study examines the impact of agriculture, forestry, and fisheries value added on environmental performance in the BRICS countries over the period of 1990–2023. This study is the first to integrate agricultural, forestry, and fishing (AFF) value added, natural resource rents, green innovation, environmental policy stringency, and greenhouse gas (GHG) emissions into a single framework, with an emphasis on the BRICS countries. We employ quantile regression to uncover how these relationships differ across different levels of the distribution of GHG emissions. As a robustness check, we use the bootstrap quantile regression approach, which estimates coefficients and standard errors through a bootstrapping procedure. The results show that primary sector value addition is positively related to GHG emissions. However, renewable energy consumption, environmental policy stringency, total natural resource rents, and green innovation negatively affect GHG emissions.

Open Access: Yes

DOI: 10.1002/ldr.70481

Modelling Attitude as a Delighter in Supply Chains: A Kano-Based Perspective

P. Németh Andrea Rankl

Publication Name: Logistics

Publication Date: 2026-04-01

Volume: 10

Issue: 4

Page Range: Unknown

Description:

Background: Global supply chains operate in increasingly volatile and technology-intensive environments shaped by digital transformation and artificial intelligence integration. While prior research has emphasized structural and technological enablers of flexibility, the behavioral foundations of supply chain adaptability remain insufficiently explored. Methods: This study develops a conceptual integration of the Kano model and the Cobb–Douglas production function to position managerial attitude as a strategic “delighter” within supply chain systems. The proposed framework models supply chain flexibility as a function of capital, labor, artificial intelligence integration, and managerial attitude within an extended economic representation. Results: The model suggests that managerial attitude acts as a behavioral amplifier that strengthens the performance effects of technological and economic inputs, potentially generating nonlinear gains in responsiveness and adaptive capacity. By distinguishing human-driven, algorithmic, and hybrid attitudinal configurations, the framework clarifies how behavioral orientations influence artificial intelligence adoption and supply chain flexibility, particularly in small and medium-sized enterprise contexts. Conclusions: Although conceptual in nature, the framework provides a formal analytical foundation for future empirical testing and elasticity-based sensitivity analysis in supply chain research.

Open Access: Yes

DOI: 10.3390/logistics10040074