Péter Németh

57215455632

Publications - 10

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

Péter 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 Péter 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

Péter 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 Péter 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 Péter 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

J. Botzheim P. Földesi Péter 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

J. Botzheim P. Földesi Csaba Tápler Péter 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 Péter 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

Péter 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

Péter 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