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The commission sales form is a very significant channel of sales today, which is especially true in the field of dietary supplements. In parallel, the prevailing digitalization trends have opened up further new opportunities for this form of distribution. The multi-level optimization process presented in the publication makes it possible to optimize the distribution logistics processes of companies producing food supplements at a high level by exploiting these new possibilities. The operation of the procedure is also illustrated through a practical example.
Szabolcs Szentesi; Béla Illés; Ákos Cservenák; Róbert Skapinyecz; Péter Tamás. Multi-Level Optimization Process for Rationalizing the Distribution Logistics Process of Companies Selling Dietary Supplements. Processes 2021, 9, 1480 .
AMA StyleSzabolcs Szentesi, Béla Illés, Ákos Cservenák, Róbert Skapinyecz, Péter Tamás. Multi-Level Optimization Process for Rationalizing the Distribution Logistics Process of Companies Selling Dietary Supplements. Processes. 2021; 9 (9):1480.
Chicago/Turabian StyleSzabolcs Szentesi; Béla Illés; Ákos Cservenák; Róbert Skapinyecz; Péter Tamás. 2021. "Multi-Level Optimization Process for Rationalizing the Distribution Logistics Process of Companies Selling Dietary Supplements." Processes 9, no. 9: 1480.
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.
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 StylePéter 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 StylePéter 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.
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.
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 StyleÁgota 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 StyleÁgota 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.
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.
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 StyleTamás 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 StyleTamás 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.
The issue of sustainability is becoming more and more important because of the increase in the human population and the extraction of non-renewable natural resources. We can make decisive steps towards sustainability in the fields of logistics services by improvement of logistics processes and/or application of new environment-friendly technologies. These steps are very important for companies because they have a significant effect on competitiveness. Nowadays significant changes are taking place in applied methods and technologies in the fields of logistics services as part of the 4th Industrial Revolution. Most companies are not able to keep pace with these changes in addition to carrying out their main activities by using own resources; consequently, in many cases logistics services are outsourced in the interest of maintaining or increasing competitiveness. The currently applied outsourcing examination process contains numerous shortcomings. We have elaborated a new business model to eliminate these shortcomings, namely the basic concept for an outsourcing investigation system integrated in the electronic marketplace. The paper introduces the current process of logistics service outsourcing examination and the elaborated business model concept.
Péter Tamás. Innovative Business Model for Realization of Sustainable Supply Chain at the Outsourcing Examination of Logistics Services. Sustainability 2018, 10, 210 .
AMA StylePéter Tamás. Innovative Business Model for Realization of Sustainable Supply Chain at the Outsourcing Examination of Logistics Services. Sustainability. 2018; 10 (1):210.
Chicago/Turabian StylePéter Tamás. 2018. "Innovative Business Model for Realization of Sustainable Supply Chain at the Outsourcing Examination of Logistics Services." Sustainability 10, no. 1: 210.
Nowadays production system processes are undergoing sweeping changes. The trends include an increase in the number of product variants to be produced, as well as the reduction of the production’s lead time. These trends were induced by new devices of the industry’s 4.0, namely the Internet of Things and cyber physical systems. The companies have been applying intermittent production systems (job production, batch production) because of the increase in the number of product variants. Consequently, increasing the efficiency of these systems has become especially important. The aim of development in the long term—not achievable in many cases—is the realization of unique production, with mass production’s productivity and lower cost. The improvement of complex production systems can be realized efficiently only through simulation modeling. A standardized simulation method for intermittent production systems has not been elaborated so far. In this paper, I introduce a simulation method for system improvement and present its application possibilities and a practical example.
Péter Tamás. Decision Support Simulation Method for Process Improvement of Intermittent Production Systems. Applied Sciences 2017, 7, 950 .
AMA StylePéter Tamás. Decision Support Simulation Method for Process Improvement of Intermittent Production Systems. Applied Sciences. 2017; 7 (9):950.
Chicago/Turabian StylePéter Tamás. 2017. "Decision Support Simulation Method for Process Improvement of Intermittent Production Systems." Applied Sciences 7, no. 9: 950.
We can reach significant results in the field of waste reduction in production processes with application of the tool and rule systems of lean philosophy. One of the frequently applied lean methods is SMED (Single Minute Exchange of Die), whic...
Péter Tamás. Examining the Possibilities for Efficiency Improvement of SMED Method Using Simulation Modelling. Manufacturing Technology 2017, 17, 592 -597.
AMA StylePéter Tamás. Examining the Possibilities for Efficiency Improvement of SMED Method Using Simulation Modelling. Manufacturing Technology. 2017; 17 (4):592-597.
Chicago/Turabian StylePéter Tamás. 2017. "Examining the Possibilities for Efficiency Improvement of SMED Method Using Simulation Modelling." Manufacturing Technology 17, no. 4: 592-597.
Nowadays the flexibility and specific cost of manufacturing have a relevant role in the competitiveness of the companies. In our opinion the most important objective of Industry 4.0 is the realization of intermittent manufacturing at mass production’s productivity and specific cost. This aim can be only reached by creating more complex manufacturing systems. The increase in manufacturing complexity results in new challenges in the quality assurance of manufacturing processes. We can collect new types of data that enable the improvement of product and process service quality. This paper introduces the essence of Industry 4.0, as well as the new challenges for the quality assurance of manufacturing processes. Possible research directions for overcoming challenges are also presented.
Béla Illés; Péter Tamás; Péter Dobos; Róbert Skapinyecz. New Challenges for Quality Assurance of Manufacturing Processes in Industry 4.0. Solid State Phenomena 2017, 261, 481 -486.
AMA StyleBéla Illés, Péter Tamás, Péter Dobos, Róbert Skapinyecz. New Challenges for Quality Assurance of Manufacturing Processes in Industry 4.0. Solid State Phenomena. 2017; 261 ():481-486.
Chicago/Turabian StyleBéla Illés; Péter Tamás; Péter Dobos; Róbert Skapinyecz. 2017. "New Challenges for Quality Assurance of Manufacturing Processes in Industry 4.0." Solid State Phenomena 261, no. : 481-486.
Nowadays the application mode of the tool and rule systems of the lean philosophy plays a relevant role in the competitiveness of companies. Basically, the advantage is realized by reduction of logistics wastes. In our opinion integration of the more important lean tools (VSM, SMED, Kanban) with simulation modeling may be necessary in many cases in order to increase efficiency in manufacturing/production processes. The paper presents these possibilities. In addition, it outlines research directions in connection with the examined areas.
Péter Tamás; Béla Illés. Examining the Integration Possibilities for Lean Tools and Simulation Modeling. Solid State Phenomena 2017, 261, 516 -522.
AMA StylePéter Tamás, Béla Illés. Examining the Integration Possibilities for Lean Tools and Simulation Modeling. Solid State Phenomena. 2017; 261 ():516-522.
Chicago/Turabian StylePéter Tamás; Béla Illés. 2017. "Examining the Integration Possibilities for Lean Tools and Simulation Modeling." Solid State Phenomena 261, no. : 516-522.
The industry 4.0 creates some new possibilities for the manufacturing companies' waste reduction for example by appearance of the cyber physical systems and the big data concept and spreading the "Internet of things (IoT)". This paper presents in details the fourth industrial revolutions' more important achievements and tools. In addition there will be also numerous new research directions in connection with the waste reduction possibilities of the manufacturing systems outlined.
Péter Tamás; B Illés; P Dobos. Waste reduction possibilities for manufacturing systems in the industry 4.0. IOP Conference Series: Materials Science and Engineering 2016, 161, 012074 .
AMA StylePéter Tamás, B Illés, P Dobos. Waste reduction possibilities for manufacturing systems in the industry 4.0. IOP Conference Series: Materials Science and Engineering. 2016; 161 (1):012074.
Chicago/Turabian StylePéter Tamás; B Illés; P Dobos. 2016. "Waste reduction possibilities for manufacturing systems in the industry 4.0." IOP Conference Series: Materials Science and Engineering 161, no. 1: 012074.
Adequate establishment and operation of warehouse logistics determines the companies' competitiveness significantly because it effects greatly the quality and the selling price of the goods that the production companies produce. In order to implement and manage an adequate warehouse system, adequate warehouse position, stock management model, warehouse technology, motivated work force committed to process improvement and material handling strategy are necessary. In practical life, companies have paid small attantion to select the warehouse strategy properly. Although it has a major influence on the production in the case of material warehouse and on smooth costumer service in the case of finished goods warehouse because this can happen with a huge loss in material handling. Due to the dynamically changing production structure, frequent reorganization of warehouse activities is needed, on what the majority of the companies react basically with no reactions. This work presents a simulation test system frames for eligible warehouse material handling strategy selection and also the decision method for selection.
P Dobos; P Tamás; B Illés. Decision method for optimal selection of warehouse material handling strategies by production companies. IOP Conference Series: Materials Science and Engineering 2016, 161, 012100 .
AMA StyleP Dobos, P Tamás, B Illés. Decision method for optimal selection of warehouse material handling strategies by production companies. IOP Conference Series: Materials Science and Engineering. 2016; 161 ():012100.
Chicago/Turabian StyleP Dobos; P Tamás; B Illés. 2016. "Decision method for optimal selection of warehouse material handling strategies by production companies." IOP Conference Series: Materials Science and Engineering 161, no. : 012100.
Nowadays the lean philosophy is very important in the improvement of the manufacturing processes. The value stream mapping is a fundamental lean device which can decrease the material-and information flow wastes. This paper introduces in details the static and dynamic value stream mapping’s method and it summarizes the application possibilities of these devices. There are numerous research directions in this topic which will be outlined in this paper.
Péter Tamás. Application of Value Stream Mapping at Flexible Manufacturing Systems. Key Engineering Materials 2016, 686, 168 -173.
AMA StylePéter Tamás. Application of Value Stream Mapping at Flexible Manufacturing Systems. Key Engineering Materials. 2016; 686 ():168-173.
Chicago/Turabian StylePéter Tamás. 2016. "Application of Value Stream Mapping at Flexible Manufacturing Systems." Key Engineering Materials 686, no. : 168-173.