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Dr. Tamás Bányai
University of Miskolc

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Research Keywords & Expertise

1 Logistics
1 Material Handling
1 Optimisation
1 Supply Chain
1 design and optimization

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Logistics
Supply Chain
Material Handling
Optimisation

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Journal article
Published: 04 July 2021 in Manufacturing Technology
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ACS Style

Anita Agárdi; László Kovács; Tamás Bányai. Ant Colony Algorithms For The Vehicle Routing Problem With Time Window, Period And Multiple Depots. Manufacturing Technology 2021, 1 .

AMA Style

Anita Agárdi, László Kovács, Tamás Bányai. Ant Colony Algorithms For The Vehicle Routing Problem With Time Window, Period And Multiple Depots. Manufacturing Technology. 2021; ():1.

Chicago/Turabian Style

Anita Agárdi; László Kovács; Tamás Bányai. 2021. "Ant Colony Algorithms For The Vehicle Routing Problem With Time Window, Period And Multiple Depots." Manufacturing Technology , no. : 1.

Book chapter
Published: 04 June 2021 in Green Supply Chain [Working Title]
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The fourth industrial revolution offers new technologies to transform conventional supply chain solutions into cyber-physical supply chain ones. This transformation makes it possible to increase the efficiency, availability, quality, and cost-efficiency of the value-making chain, while the energy consumption and the GHG emission can be decreased. Within the frame of this chapter, the authors introduce the most important Industry 4.0 technologies and Internet of Things tools and demonstrate their potentials to update supply chain operations. This update of conventional operations can lead to greener and more sustainable purchasing, production, and distribution processes. The successful future of the green supply chain is based on a wide range of factors, like production management, logistics management, societal and regulatory environment. However, the Industry 4.0 technologies are expected to strongly influence the whole supply chain performance positively. This chapter aims to explore the potentials of Industry 4.0 technologies and the transformation of conventional supply chain solutions into cyber-physical systems, especially from a municipal waste collection point of view. The research findings can provide useful insights for supply chain experts, manufacturing, and service companies.

ACS Style

Tamás Bányai; Mohammad Zaher Akkad. The Impact of Industry 4.0 on the Future of Green Supply Chain. Green Supply Chain [Working Title] 2021, 1 .

AMA Style

Tamás Bányai, Mohammad Zaher Akkad. The Impact of Industry 4.0 on the Future of Green Supply Chain. Green Supply Chain [Working Title]. 2021; ():1.

Chicago/Turabian Style

Tamás Bányai; Mohammad Zaher Akkad. 2021. "The Impact of Industry 4.0 on the Future of Green Supply Chain." Green Supply Chain [Working Title] , no. : 1.

Journal article
Published: 27 February 2021 in Applied Sciences
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The paper aims to investigate the basin of attraction map of a complex Vehicle Routing Problem with random walk analysis. The Vehicle Routing Problem (VRP) is a common discrete optimization problem in field of logistics. In the case of the base VRP, the positions of one single depot and many customers (which have product demands) are given. The vehicles and their capacity limits are also fixed in the system and the objective function is the minimization of the length of the route. In the literature, many approaches have appeared to simulate the transportation demands. Most of the approaches are using some kind of metaheuristics. Solving the problems with metaheuristics requires exploring the fitness landscape of the optimization problem. The fitness landscape analysis consists of the investigation of the following elements: the set of the possible states, the fitness function and the neighborhood relationship. We use also metaheuristics are used to perform neighborhood discovery depending on the neighborhood interpretation. In this article, the following neighborhood operators are used for the basin of attraction map: 2-opt, Order Crossover (OX), Partially Matched Crossover (PMX), Cycle Crossover (CX). Based on our test results, the 2-opt and Partially Matched Crossover operators are more efficient than the Order Crossover and Cycle Crossovers.

ACS Style

Anita Agárdi; László Kovács; Tamás Bányai. An Attraction Map Framework of a Complex Multi-Echelon Vehicle Routing Problem with Random Walk Analysis. Applied Sciences 2021, 11, 2100 .

AMA Style

Anita Agárdi, László Kovács, Tamás Bányai. An Attraction Map Framework of a Complex Multi-Echelon Vehicle Routing Problem with Random Walk Analysis. Applied Sciences. 2021; 11 (5):2100.

Chicago/Turabian Style

Anita Agárdi; László Kovács; Tamás Bányai. 2021. "An Attraction Map Framework of a Complex Multi-Echelon Vehicle Routing Problem with Random Walk Analysis." Applied Sciences 11, no. 5: 2100.

Journal article
Published: 28 October 2020 in Processes
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Vehicle routing problem (VRP) is a highly investigated discrete optimization problem. The first paper was published in 1959, and later, many vehicle routing problem variants appeared to simulate real logistical systems. Since vehicle routing problem is an NP-difficult task, the problem can be solved by approximation algorithms. Metaheuristics give a “good” result within an “acceptable” time. When developing a new metaheuristic algorithm, researchers usually use only their intuition and test results to verify the efficiency of the algorithm, comparing it to the efficiency of other algorithms. However, it may also be necessary to analyze the search operators of the algorithms for deeper investigation. The fitness landscape is a tool for that purpose, describing the possible states of the search space, the neighborhood operator, and the fitness function. The goal of fitness landscape analysis is to measure the complexity and efficiency of the applicable operators. The paper aims to investigate the fitness landscape of a complex vehicle routing problem. The efficiency of the following operators is investigated: 2-opt, order crossover, partially matched crossover, cycle crossover. The results show that the most efficient one is the 2-opt operator. Based on the results of fitness landscape analysis, we propose a novel traveling salesman problem genetic algorithm optimization variant where the edges are the elementary units having a fitness value. The optimal route is constructed from the edges having good fitness value. The fitness value of an edge depends on the quality of the container routes. Based on the performed comparison tests, the proposed method significantly dominates many other optimization approaches.

ACS Style

László Kovács; Anita Agárdi; Tamás Bányai. Fitness Landscape Analysis and Edge Weighting-Based Optimization of Vehicle Routing Problems. Processes 2020, 8, 1363 .

AMA Style

László Kovács, Anita Agárdi, Tamás Bányai. Fitness Landscape Analysis and Edge Weighting-Based Optimization of Vehicle Routing Problems. Processes. 2020; 8 (11):1363.

Chicago/Turabian Style

László Kovács; Anita Agárdi; Tamás Bányai. 2020. "Fitness Landscape Analysis and Edge Weighting-Based Optimization of Vehicle Routing Problems." Processes 8, no. 11: 1363.

Conference paper
Published: 20 October 2020 in Recent Advances in Computational Mechanics and Simulations
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Sustainability and Industry 4.0 are very common terms nowadays that are used in almost all areas. Industry 4.0 has wide influence and effect because of its numerous new applications that come from the recent technological revolution. That led to the intelligent technologies that were built on the internet and interconnecting several areas, linking the fields of information technology, artificial intelligence, logistics systems, and environmental engineering to each other. On the other side, sustainability is an inclusive term that includes many dimensions, covers many areas like economy, industry, human, environment, and energy. Therefore, there increasing interest in applying sustainability to reach a better world. Logistics area is significantly affected by Industry 4.0 in an accelerated way and there is persistent need to use these new technologies to support sustainability by increasing the efficiency, reliability, and flexibility all along with saving energy and time with protecting the environment. Within the frame of this paper, the authors present an approach that combines sustainability and Industry 4.0 in the logistics area. After an introduction and theoretical background talk about the circular economy, reverse logistics, sustainability, and industry 4.0, the authors show modern applications aiming to apply circular economy and reverse logistics to save data, collect, move and treat waste in order to reuse, recycle and regenerate materials and energy. Then, it is discussed the expected results and outcomes regarding those applications on different aspects like sustainability, environment, and economics.

ACS Style

Mohammad Zaher Akkad; Tamás Bányai. Applying Sustainable Logistics in Industry 4.0 Era. Recent Advances in Computational Mechanics and Simulations 2020, 222 -234.

AMA Style

Mohammad Zaher Akkad, Tamás Bányai. Applying Sustainable Logistics in Industry 4.0 Era. Recent Advances in Computational Mechanics and Simulations. 2020; ():222-234.

Chicago/Turabian Style

Mohammad Zaher Akkad; Tamás Bányai. 2020. "Applying Sustainable Logistics in Industry 4.0 Era." Recent Advances in Computational Mechanics and Simulations , no. : 222-234.

Journal article
Published: 08 September 2020 in Sustainability
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Urban population increase results in more supply chain operations in these areas, which leads to increased energy consumption and environmental pollution. City logistics represents a strategy of efficient freight transportation and material handling to fulfill customer and business demands. Within the frame of this paper, the authors describe an optimization model of a multi-echelon collection and distribution system, focusing on downtown areas and energy efficiency, sustainability, and emission reduction. After a systematic literature review, this paper introduces a mathematical model of collection and distribution problems, including package delivery, municipal waste collection, home delivery services, and supply of supermarkets and offices. The object of the optimization model is twofold: firstly, to design the optimal structure of the multi-echelon collection and distribution system, including layout planning and the determination of required transportation resources, like e-cars, e-bikes, and the use of public transportation; and secondly, to optimize the operation strategy of the multi-echelon supply chain, including resource allocation and scheduling problems. Next, a heuristic approach is described, whose performance is validated with common benchmark functions, such as metaheuristic evaluation. The scenario analysis demonstrates the application of the described model and shows the optimal layout, resource allocation, and operation strategy focusing on energy efficiency.

ACS Style

Mohammad Akkad; Tamás Bányai. Multi-Objective Approach for Optimization of City Logistics Considering Energy Efficiency. Sustainability 2020, 12, 7366 .

AMA Style

Mohammad Akkad, Tamás Bányai. Multi-Objective Approach for Optimization of City Logistics Considering Energy Efficiency. Sustainability. 2020; 12 (18):7366.

Chicago/Turabian Style

Mohammad Akkad; Tamás Bányai. 2020. "Multi-Objective Approach for Optimization of City Logistics Considering Energy Efficiency." Sustainability 12, no. 18: 7366.

Journal article
Published: 10 April 2020 in Sustainability
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Spread of the Jidoka concept can be phrased as a trend at the production of electronic products. In most of the cases, with the application of this concept, the development of testing procedures (for quality assurance purposes) of the finished products can be avoided. In those cases, when the production process of the appropriate quality product cannot be implemented safely for the establishment of the product testing process (following the production process), changing the number of variety products, change of requirements concerning the electronic products (e.g., instructions related to energy consumption, noise level) and the variation of the required testing capacity make the modification of the established testing process necessary. The implementation of related plans often leads to problems (e.g., not the appropriate storage area, material flow process or material handling equipment having been chosen). The method of process configuration affects the sustainability, since the poorly established process can lead to additional usage of non-renewable natural resources and unjustified environmental impact. For one of the tools of Industry 4.0, we developed such a state-of-the-art testing method with the use of simulation modelling by which the change of testing process can be effectively examined and evaluated, thus we can prevent the unnecessary planning failures. The application of the developed method is also shown through a case study.

ACS Style

Péter Tamás; Sándor Tollár; Béla Illés; Tamás Bányai; Ágota Bányai Tóth; Róbert Skapinyecz. Decision Support Simulation Method for Process Improvement of Electronic Product Testing Systems. Sustainability 2020, 12, 3063 .

AMA Style

Péter Tamás, Sándor Tollár, Béla Illés, Tamás Bányai, Ágota Bányai Tóth, Róbert Skapinyecz. Decision Support Simulation Method for Process Improvement of Electronic Product Testing Systems. Sustainability. 2020; 12 (7):3063.

Chicago/Turabian Style

Péter Tamás; Sándor Tollár; Béla Illés; Tamás Bányai; Ágota Bányai Tóth; Róbert Skapinyecz. 2020. "Decision Support Simulation Method for Process Improvement of Electronic Product Testing Systems." Sustainability 12, no. 7: 3063.

Book chapter
Published: 18 March 2020 in Industry 4.0 - Impact on Intelligent Logistics and Manufacturing
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ACS Style

Tamás Bányai. Introductory Chapter: Industry 4.0 and Its Impact on Logistics - A Retrospective Review. Industry 4.0 - Impact on Intelligent Logistics and Manufacturing 2020, 1 .

AMA Style

Tamás Bányai. Introductory Chapter: Industry 4.0 and Its Impact on Logistics - A Retrospective Review. Industry 4.0 - Impact on Intelligent Logistics and Manufacturing. 2020; ():1.

Chicago/Turabian Style

Tamás Bányai. 2020. "Introductory Chapter: Industry 4.0 and Its Impact on Logistics - A Retrospective Review." Industry 4.0 - Impact on Intelligent Logistics and Manufacturing , no. : 1.

Journal article
Published: 21 February 2020 in Multidiszciplináris tudományok
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A negyedik ipari forradalom nagymértékben megváltoztatta a termelési és szolgáltatási rendszerek fejlődési irányait. Az info- és telekommunikációs technológiák alkalmazása lehetővé tette a hagyományos ellátási láncok hatékonyágának, rugalmasságának és rendelkezésre állásának növekedését és a hagyományos rendszer kiber-fizikai rendszerré alakulásához vezetett. A szimulációs eljárások, a virtuális és kiterjesztett valóság fejlődése és integrációja a digitális iker megoldások megjelenéséhez vezetett. Jelen cikk keretében a szerzők bemutatják a digitális iker megoldásokban rejlő lehetőségeket és azok várható hatását a logisztikai folyamatokra.

ACS Style

Henrietta Sass; Tamás Bányai. A digitális iker logisztikai alkalmazásának lehetőségei a negyedik ipari forradalom keretében. Multidiszciplináris tudományok 2020, 10, 43 -47.

AMA Style

Henrietta Sass, Tamás Bányai. A digitális iker logisztikai alkalmazásának lehetőségei a negyedik ipari forradalom keretében. Multidiszciplináris tudományok. 2020; 10 (2):43-47.

Chicago/Turabian Style

Henrietta Sass; Tamás Bányai. 2020. "A digitális iker logisztikai alkalmazásának lehetőségei a negyedik ipari forradalom keretében." Multidiszciplináris tudományok 10, no. 2: 43-47.

Journal article
Published: 21 November 2019 in Transport and Telecommunication Journal
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The efficient operation of logistic processes requires a wide range of design tasks to ensure efficient, flexible and reliable operation of connected production and service processes. Autonomous electric vehicles support the flexible in-plant supply of cyber-physical manufacturing systems. Within the frame of this article, the extension of the Two-Echelon Vehicle Routing Problem with recharge stations is analyzed. The objective function of the optimization problem is the minimization of operation costs. The extension of 2E-VRP means that the second level vehicles (electric vehicles, must be recharged) come from one recharge station, then pick up the products from the satellite, visit the customers and return to the recharge station from where it started. We solved the route planning problem with the application of construction heuristics and improvement heuristics. The test results indicate that the combination of this approach provides a superior efficiency.

ACS Style

Anita Agárdi; László Kovács; Tamás Bányai. Two - Echelon Vehicle Routing Problem with Recharge Stations. Transport and Telecommunication Journal 2019, 20, 305 -317.

AMA Style

Anita Agárdi, László Kovács, Tamás Bányai. Two - Echelon Vehicle Routing Problem with Recharge Stations. Transport and Telecommunication Journal. 2019; 20 (4):305-317.

Chicago/Turabian Style

Anita Agárdi; László Kovács; Tamás Bányai. 2019. "Two - Echelon Vehicle Routing Problem with Recharge Stations." Transport and Telecommunication Journal 20, no. 4: 305-317.

Journal article
Published: 26 August 2019 in Multidiszciplináris tudományok
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A logisztikai és anyagáramlási rendszerek tervezésének számos szempontja van: költség, kapacitás kihasználtság, rugalmasság, átláthatóság, környezetterhelés. A megbízhatóság ezen tervezési szempontokra jelentős hatást tud gyakorolni. A logisztikai rendszerek és ellátási láncok tervezésében a megbízhatósági kérdések megválaszolásának egyre nagyobb szerep jut, hiszen nagy igény mutatkozik a beruházási és üzemeltetési költségek csökkentésére a rendszerek és folyamatok megbízhatóságának fokozása mellett. Jelen kutatómunka célja a koon (k-out-of-n) típusú anyagáramlási folyamatok megbízhatóságának vizsgálata. Bemutatásra kerül az egyes rendszerelemek megbízhatóságának rendszer-megbízhatóságra gyakorolt hatása, valamint egy esettanulmányon keresztül bemutatjuk, hogy anyagmozgató gépek megbízhatóságát is lehet, mint rendszer-megbízhatóságot kezelni gépelemek, mint rendszerek megbízhatóságaként.

ACS Style

Madarász Kata; Bányai Tamás. Koon típusú anyagmozgató rendszerek megbízhatósága. Multidiszciplináris tudományok 2019, 9, 57 -64.

AMA Style

Madarász Kata, Bányai Tamás. Koon típusú anyagmozgató rendszerek megbízhatósága. Multidiszciplináris tudományok. 2019; 9 (1):57-64.

Chicago/Turabian Style

Madarász Kata; Bányai Tamás. 2019. "Koon típusú anyagmozgató rendszerek megbízhatósága." Multidiszciplináris tudományok 9, no. 1: 57-64.

Journal article
Published: 15 July 2019 in Sustainability
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The just-in-sequence inventory strategy, as an important part of the supply chain solutions in the automotive industry, is based on feedback information from the manufacturer. The performance, reliability, availability and cost efficiency are based on the parameters of the members of the supply chain process. To increase the return on assets (ROA) of the manufacturer, the optimization of the supply process is unavoidable. Within the frame of this paper, the authors describe a flower pollination algorithm-based heuristic optimization model of just-in-sequence supply focusing on sustainability aspects, including fuel consumption and emission. After a systematic literature review, this paper introduces a mathematical model of just-in-sequence supply, including assignment and scheduling problems. The objective of the model is to determine the optimal assignment and schedule for each sequence to minimize the total purchasing cost, which allows improving cost efficiency while sustainability aspects are taken into consideration. Next, a flower pollination algorithm-based heuristic is described, whose performance is validated with different benchmark functions. The scenario analysis validates the model and evaluates its performance to increase cost-efficiency in just-in-sequence solutions.

ACS Style

Tamás Bányai; Béla Illés; Miklós Gubán; Ákos Gubán; Fabian Schenk; Ágota Bányai. Optimization of Just-In-Sequence Supply: A Flower Pollination Algorithm-Based Approach. Sustainability 2019, 11, 3850 .

AMA Style

Tamás Bányai, Béla Illés, Miklós Gubán, Ákos Gubán, Fabian Schenk, Ágota Bányai. Optimization of Just-In-Sequence Supply: A Flower Pollination Algorithm-Based Approach. Sustainability. 2019; 11 (14):3850.

Chicago/Turabian Style

Tamás Bányai; Béla Illés; Miklós Gubán; Ákos Gubán; Fabian Schenk; Ágota Bányai. 2019. "Optimization of Just-In-Sequence Supply: A Flower Pollination Algorithm-Based Approach." Sustainability 11, no. 14: 3850.

Journal article
Published: 15 April 2019 in Sustainability
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This study attempts to examine the role of sustainable Human Resource Management (HRM) practices on job performance and encompasses training as a moderator variable to further evaluate the association among HRM practices and employee’s job performance.The study seeks to measure the effect of selection, participation, and employee empowerment on job performance in the publicly owned universities of Pakistan. The descriptive survey research design was utilized for this study. The target population was the entire teaching staff of two publicly owned universities (namely “The University of Agriculture Peshawar” and “Hazara University Mansehra” Pakistan). By using a convenient sampling technique, 130 sample participants were selected from the target population. The reliability scales were tallied by using Cronbach’s Alpha. The findings of the study are gleaned by using regression to investigate the role of HRM practices in job performance and whether training moderated the association between HRM practices and employee performance. Through Statistical Package of Social Science (SPSS), Hayes process was used regarding the moderation effect of training between HRM practices and job performance. The main results of regression analysis validate that HRM practices, such as selection, participation, and employee empowerment, have a significant and positive effect on employee job performance. Specifically, the study suggests that training significantly moderates the effect of HRM practices on the performance of employees and that sustainability of HRM practices has a great impact on job performance. Based on the outcomes the study confirms that the proposed hypotheses are statistically significant. Furthermore, directions for future research are offered.

ACS Style

Faiza Manzoor; Longbao Wei; Tamás Bányai; Mohammad Nurunnabi; Qazi Abdul Subhan. An Examination of Sustainable HRM Practices on Job Performance: An Application of Training as a Moderator. Sustainability 2019, 11, 2263 .

AMA Style

Faiza Manzoor, Longbao Wei, Tamás Bányai, Mohammad Nurunnabi, Qazi Abdul Subhan. An Examination of Sustainable HRM Practices on Job Performance: An Application of Training as a Moderator. Sustainability. 2019; 11 (8):2263.

Chicago/Turabian Style

Faiza Manzoor; Longbao Wei; Tamás Bányai; Mohammad Nurunnabi; Qazi Abdul Subhan. 2019. "An Examination of Sustainable HRM Practices on Job Performance: An Application of Training as a Moderator." Sustainability 11, no. 8: 2263.

Journal article
Published: 27 March 2019 in Applied Sciences
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In the context of Industry 4.0, the matrix production concept represents revolutionary solutions from a technological and logistics point of view. In a matrix production system, flexible, configurable production and assembly cells are arranged in a grid layout, and the in-plant supply is based on autonomous vehicles. Adaptable and flexible material handling solutions are required to perform the dynamically changing supply-demands of standardized and categorized manufacturing and assembly cells. Within the frame of this paper, the authors describe the in-plant supply process of matrix production and the optimization potential in these processes. After a systematic literature review, this paper introduces the structure of matrix production as a cyber-physical system focusing on logistics aspects. A mathematical model of this in-plant supply process is described including extended and real-time optimization from routing, assignment, and scheduling points of view. The optimization problem described in the model is an NP-hard problem. There are no known efficient analytical methods to find the best solution for this kind of problem; therefore, we use heuristics to find a suitable solution for the above-described problem. Next, a sequential black hole–floral pollination heuristic algorithm is described. The scenario analysis, which focuses on the clustering and routing aspects of supply demands in a matrix production system, validates the model and evaluates its performance to increase cost-efficiency and warrants environmental awareness of the in-plant supply in matrix production.

ACS Style

Ágota Bányai; Béla Illés; Elke Glistau; Norge Isaias Coello Machado; Péter Tamás; Faiza Manzoor; Tamás Bányai. Smart Cyber-Physical Manufacturing: Extended and Real-Time Optimization of Logistics Resources in Matrix Production. Applied Sciences 2019, 9, 1287 .

AMA Style

Ágota Bányai, Béla Illés, Elke Glistau, Norge Isaias Coello Machado, Péter Tamás, Faiza Manzoor, Tamás Bányai. Smart Cyber-Physical Manufacturing: Extended and Real-Time Optimization of Logistics Resources in Matrix Production. Applied Sciences. 2019; 9 (7):1287.

Chicago/Turabian Style

Ágota Bányai; Béla Illés; Elke Glistau; Norge Isaias Coello Machado; Péter Tamás; Faiza Manzoor; Tamás Bányai. 2019. "Smart Cyber-Physical Manufacturing: Extended and Real-Time Optimization of Logistics Resources in Matrix Production." Applied Sciences 9, no. 7: 1287.

Systematic review
Published: 21 February 2019 in International Journal of Environmental Research and Public Health
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The accelerated movement of people towards cities led to the fact that the world’s urban population is now growing by 60-million persons per year. The increased number of cities’ population has a significant impact on the produced volume of household waste, which must be collected and recycled in time. The collection of household waste, especially in downtown areas, has a wide range of challenges; the collection system must be reliable, flexible, cost efficient, and green. Within the frame of this paper, the authors describe the application possibilities of Industry 4.0 technologies in waste collection solutions and the optimization potential in their processes. After a systematic literature review, this paper introduces the waste collection process of downtowns as a cyber-physical system. A mathematical model of this waste collection process is described, which incorporates routing, assignment, and scheduling problems. The objectives of the model are the followings: (1) optimal assignment of waste sources to garbage trucks; (2) scheduling of the waste collection through routing of each garbage truck to minimize the total operation cost, increase reliability while comprehensive environmental indicators that have great impact on public health are to be taken into consideration. Next, a binary bat algorithm is described, whose performance is validated with different benchmark functions. The scenario analysis validates the model and then evaluates its performance to increase the cost-efficiency and warrant environmental awareness of waste collection process.

ACS Style

Tamás Bányai; Péter Tamás; Béla Illés; Živilė Stankevičiūtė; Ágota Bányai. Optimization of Municipal Waste Collection Routing: Impact of Industry 4.0 Technologies on Environmental Awareness and Sustainability. International Journal of Environmental Research and Public Health 2019, 16, 634 .

AMA Style

Tamás Bányai, Péter Tamás, Béla Illés, Živilė Stankevičiūtė, Ágota Bányai. Optimization of Municipal Waste Collection Routing: Impact of Industry 4.0 Technologies on Environmental Awareness and Sustainability. International Journal of Environmental Research and Public Health. 2019; 16 (4):634.

Chicago/Turabian Style

Tamás Bányai; Péter Tamás; Béla Illés; Živilė Stankevičiūtė; Ágota Bányai. 2019. "Optimization of Municipal Waste Collection Routing: Impact of Industry 4.0 Technologies on Environmental Awareness and Sustainability." International Journal of Environmental Research and Public Health 16, no. 4: 634.

Journal article
Published: 15 October 2018 in Sustainability
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Manufacturing and service processes are composed of several elements: Technical, financial, logistics, information and human resources. Staff deployment and staffing is an essential problem in the human resource management domain because the structure of employees would be continuously in an optimal relationship to the jobs to be performed. This paper proposes a conceptual model for the analysis of human resource deployment processes. After a systematic literature review, it was found that algorithms are important tools for the design and control of human resource problems since a wide range of models determines an optimization problem. According to that, the main focus of this research is the modelling and analysis of human resource deployment processes of manufacturing companies using Markov-chain mathematics, also taking into account the absorbing phenomena of employees’ promotion. The main contribution of this article includes the model framework of Markov-chain simulation of a human resource deployment problem; the mathematical description of different human resource deployment strategies with subdiagonal and superdiagonal promotion matrices; the computational results of the described model with different datasets and scenarios. In the case of a given human resource strategy, the Markovian human resource deployment process of a company was analyzed. The analyzed model was the HR deployment of assembly line operators in a multinational company, including six levels of promotion. The results of the scenario analysis show that promotion and recruitment rates have a great impact on the future employees’ structure.

ACS Style

Tamás Bányai; Christian Landschützer; Ágota Bányai. Markov-Chain Simulation-Based Analysis of Human Resource Structure: How Staff Deployment and Staffing Affect Sustainable Human Resource Strategy. Sustainability 2018, 10, 3692 .

AMA Style

Tamás Bányai, Christian Landschützer, Ágota Bányai. Markov-Chain Simulation-Based Analysis of Human Resource Structure: How Staff Deployment and Staffing Affect Sustainable Human Resource Strategy. Sustainability. 2018; 10 (10):3692.

Chicago/Turabian Style

Tamás Bányai; Christian Landschützer; Ágota Bányai. 2018. "Markov-Chain Simulation-Based Analysis of Human Resource Structure: How Staff Deployment and Staffing Affect Sustainable Human Resource Strategy." Sustainability 10, no. 10: 3692.

Research article
Published: 26 July 2018 in Complexity
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Supply chain management applies more and more Industry 4.0 innovations to increase their availability, elasticity, sustainability, and efficiency. In interconnected logistics networks, operations are integrated from suppliers through 3rd party logistics providers to customers. There are different delivery models depending on the time and cost. In the last few years, a wide range of customers is willing to pay an extra fee for the same delivery or instant delivery. This fact led to the increased importance of the optimized design and control of first mile/last mile (FMLM) delivery solutions. Cyberphysical system-based service innovations make it possible to enhance the productivity of FMLM delivery in the big data environment. The design and operation problems can be described as NP-hard optimization problems. These problems can be solved using sophisticated models and methods based on heuristic and metaheuristic algorithms. This research proposes an integrated supply model of FMLM delivery. After a careful literature review, this paper introduces a mathematical model to formulate the problem of real-time smart scheduling of FMLM delivery. The integrated model includes the assignment of first mile and last mile delivery tasks to the available resources and the optimization of operations costs, while constraints like capacity, time window, and availability are taken into consideration. Next, a black hole optimization- (BHO-) based algorithm dealing with a multiobjective supply chain model is presented. The sensitivity of the enhanced algorithm is tested with benchmark functions. Numerical results with different datasets demonstrate the efficiency of the proposed model and validate the usage of Industry 4.0 inventions in FMLM delivery.

ACS Style

Tamás Bányai; Béla Illés; Ágota Bányai. Smart Scheduling: An Integrated First Mile and Last Mile Supply Approach. Complexity 2018, 2018, 1 -15.

AMA Style

Tamás Bányai, Béla Illés, Ágota Bányai. Smart Scheduling: An Integrated First Mile and Last Mile Supply Approach. Complexity. 2018; 2018 ():1-15.

Chicago/Turabian Style

Tamás Bányai; Béla Illés; Ágota Bányai. 2018. "Smart Scheduling: An Integrated First Mile and Last Mile Supply Approach." Complexity 2018, no. : 1-15.

Journal article
Published: 12 July 2018 in Energies
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Energy efficiency and environmental issues have been largely neglected in logistics. In a traditional supply chain, the objective of improving energy efficiency is targeted at the level of single parts of the value making chain. Industry 4.0 technologies make it possible to build hyperconnected logistic solutions, where the objective of decreasing energy consumption and economic footprint is targeted at the global level. The problems of energy efficiency are especially relevant in first mile and last mile delivery logistics, where deliveries are composed of individual orders and each order must be picked up and delivered at different locations. Within the frame of this paper, the author describes a real-time scheduling optimization model focusing on energy efficiency of the operation. After a systematic literature review, this paper introduces a mathematical model of last mile delivery problems including scheduling and assignment problems. The objective of the model is to determine the optimal assignment and scheduling for each order so as to minimize energy consumption, which allows to improve energy efficiency. Next, a black hole optimization-based heuristic is described, whose performance is validated with different benchmark functions. The scenario analysis validates the model and evaluates its performance to increase energy efficiency in last mile logistics.

ACS Style

Tamás Bányai. Real-Time Decision Making in First Mile and Last Mile Logistics: How Smart Scheduling Affects Energy Efficiency of Hyperconnected Supply Chain Solutions. Energies 2018, 11, 1833 .

AMA Style

Tamás Bányai. Real-Time Decision Making in First Mile and Last Mile Logistics: How Smart Scheduling Affects Energy Efficiency of Hyperconnected Supply Chain Solutions. Energies. 2018; 11 (7):1833.

Chicago/Turabian Style

Tamás Bányai. 2018. "Real-Time Decision Making in First Mile and Last Mile Logistics: How Smart Scheduling Affects Energy Efficiency of Hyperconnected Supply Chain Solutions." Energies 11, no. 7: 1833.

Conference paper
Published: 10 May 2018 in Recent Advances in Computational Mechanics and Simulations
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The material supply of workplaces in a manufacturing system can be realized in many ways. In the last few years, the milkrun-based in-plant supply is widely spread, especially in the field of the automotive industry. Milkrun supply makes it possible to feed manufacturing and assembly workstations keeping on the 9R rule. The lean approach is a framework for reducing costs and enhancing the quality of products and processes in automotive domain. The design and operation of milkrun based in-plant supply includes a wide range of optimization problems, like location, routing, scheduling, assignment or queuing problems. After a careful literature review, the authors describe the typical milkrun solutions of in-plant supply. The description of milkrun morphology makes it possible to define the most important aspects of milkrun supply solutions. Next, typical milkrun based supply processes are presented and their evaluation method is also described to analyze the efficiency of various solutions.

ACS Style

Tamás Bányai; Péter Telek; Christian Landschützer. Milkrun Based In-plant Supply – An Automotive Approach. Recent Advances in Computational Mechanics and Simulations 2018, 170 -185.

AMA Style

Tamás Bányai, Péter Telek, Christian Landschützer. Milkrun Based In-plant Supply – An Automotive Approach. Recent Advances in Computational Mechanics and Simulations. 2018; ():170-185.

Chicago/Turabian Style

Tamás Bányai; Péter Telek; Christian Landschützer. 2018. "Milkrun Based In-plant Supply – An Automotive Approach." Recent Advances in Computational Mechanics and Simulations , no. : 170-185.

Conference paper
Published: 10 May 2018 in Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020)
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The available and future solutions for the digital transformation and use of exponential technologies indicate revolutionary changes in the whole supply chain of manufacturing and service processes. The vertical networking of smart manufacturing systems and the horizontal integration of value-making chains led to a new supply paradigm based on hyperconnected global logistics systems. The goal of the paper is to identify challenges of just-in-sequence supply in the automotive industry from the aspect of Industry 4.0 solutions. The authors introduce readers in both the Industry 4.0 paradigm as well as the just-in-sequence supply. Defining the conception of cyber physical logistics systems (CPLS) authors describe the I4.0 solutions based relations between just-in-sequence supply and Reference Architecture Model Industry 4.0 (RAMI 4.0). The main goal is to define challenges and impacts of Industry 4.0 paradigm on just-in-sequence supply.

ACS Style

János Juhász; Tamas Banyai. What Industry 4.0 Means for Just-In-Sequence Supply in Automotive Industry? Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020) 2018, 226 -240.

AMA Style

János Juhász, Tamas Banyai. What Industry 4.0 Means for Just-In-Sequence Supply in Automotive Industry? Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020). 2018; ():226-240.

Chicago/Turabian Style

János Juhász; Tamas Banyai. 2018. "What Industry 4.0 Means for Just-In-Sequence Supply in Automotive Industry?" Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020) , no. : 226-240.