[1] Dobos, P.; Cservenák, Á.;  Skapinyecz, R.; Illés, B.; Tamás, P.: Development of an Industry 4.0-Based Analytical Method for the Value Stream Centered Optimization of Demand-Driven Warehousing Systems, SUSTAINABILITY 13(21), 2021, 33 p. (Q1), (IF: 3,251)  

[2] Bányai, T.; Tamás, P.; Illés, B.; Stankevičiūtė, Z.; Bányai, Á.: 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 (4), 2019, pp. 26, EISSN: 1660-4601 (Q2) (IF: 3,39)  

[3] Szentesi, Sz.; Illés, B.; Cservenák, Á.; Skapinyecz, R.; Tamás, P.:Multi-Level Optimization Process for Rationalizing the Distribution Logistics Process of Companies Selling Dietary Supplements, PROCESSES 9 : 9 Paper: 1480 , 27 p. (2021)  

[4] Tamás, P.; Tollár, S.; Illés, S.; Bányai, T.; Bányainé Tóth Á.; Skapinyecz, R.: Decision Support Simulation Method for Process Improvement of Electronic Product Testing Systems, SUSTAINABILITY 12 : 7 Paper: 3063 (2020)  


[6] Bányai, T. Economic aspects of decision making in production processes with uncertain component quality. Inzinerine Ekonomika/Engineering Economics 2019, 30(1):4-13. https://doi.org/10.5755/j01.ee.30.1.19324 (Q2, IF=0.730)  

[7] Akkad, M.Z., Haidar, S., Bányai, T. Design of Cyber-Physical Waste Management Systems Focusing on Energy Efficiency and Sustainability. Designs 2022, 6(2):39.  

[8] Bányai, T. Optimization of Material Supply in Smart Manufacturing Environment: A Metaheuristic Approach for Matrix Production, Machines 2021, 9(10):220. https://doi.org/10.3390/machines9100220 (Q2, IF=2.428)  

[9] Akkad, M.Z., Bányai, T. Multi-Objective Approach for Optimization of City Logistics Considering Energy Efficiency. Sustainability 2020, 12(18):7366. https://doi.org/10.3390/su12187366 (Q2, IF=3.251)  

[10] Akkad, M.Z., Bányai, T. Applying Sustainable Logistics in Industry 4.0 Era. Lecture Notes in Mechanical Engineering 2021, 22:222-234. https://doi.org/10.1007/978-981-15-9529-5_19 (Q4)

[11] Bányai, Á. Energy Consumption-Based Maintenance Policy Optimization, ENERGIES 2021, 14(18): 5674 (Q2, IF=3.004)  

[12] Borodavko, B., Illés, B., Bányai, Á. Role of Artificial Intelligence in Supply Chain. Academic Journal of Manufacturing Engineering 2021, 19(1):75-79. (Q4)  

[13] Bányai Á. Exchange curve-based inventory policy analysis of non-reusable industrial packaging in production. Journal of Production Engineering, 2021, 24(1): 43-49.  

[14] Bányai, Á., Illés, B., Glistau, E., Machado, N. I. C.; Tamás, P., Manzoor, F., Bányai, T.: Smart Cyber-Physical Manufacturing: Extended and Real-Time Optimization of Logistics Resources in Matrix Production. APPLIED SCIENCES-BASEL 2019, 9(7): 1287 (Q2, IF=2.679)  

[15] Bányai, T., Bányainé, T. Á., Illés, B., Tamás, P.: Ipar 4.0 és logisztika. Miskolci Egyetem (2019), 160 p., ISBN: 9789633581827  

[16] Fükő, L.; Illés, B.; Skapinyecz, R.; Hardai, I.; Tóth, Á. B.; Bányai, T., Szentesi, Sz.; Tamás, P.: Increasing the sustainability of forklift material handling systems by using an innovative process development method, Academic Journal of Manufacturing Engineering, 18(2), 2020, 8 p., (Q4)  

[17] Matyi H., Veres P., Banyai T., D. Vasily, Tamas P.: Digitalization in industry 4.0: the role of mobile devices, JOURNAL OF PRODUCTION ENGINEERING 23 : 1 pp. 75-78., 4 p. 2020  

[18] Veres P., Cservenák Á., Skapinyecz R., Illés B., Bányai T., A. Umetaliev, Tamás P.: The Role of Augmented and Virtual Reality Technologies in Developing Logistics Processes, JOURNAL OF ENGINEERING RESEARCH AND REPORTS 13(2) pp. 55-62. , 8 p. 2020  

[19] Veres P., Illés B., Bányai T.: Integrated Assignment and Facility Location Approach Based on Black Hole Optimization, ACADEMIC JOURNAL OF MANUFACTURING ENGINEERING 17(2) pp. 66-71. , 6 p., 2019 (Q3)  

[20] Veres P., Illés B., C. Landschützer: Supply Chain Optimization in Automotive Industry: A Comparative Analysis of Evolutionary and Swarming Heuristics, LECTURE NOTES IN MECHANICAL ENGINEERING VAE 2018 pp. 666-676. , 11 p. , 2018 (Q4)

[21] Veres P., Bányai T., Illés B.: Intelligent transportation systems to support production logistics, LECTURE NOTES IN MECHANICAL ENGINEERING F12 pp. 245-256., 12 p., 2017 (Q4)

[22] Szentesi, Sz.; Tamás, P.; Illés, B.: Application of churchman-ackoff weighting method for procurement of consignment seller dietary supplements manufacturing companies, Academic Journal of Manufacturing Engineering 16, pp.: 33-37., (2018).

[23] Juhász, J.; Bányai, T.  Understanding the purchasing portfolio model: A just-in-sequence approach increasing manufacturing efficiency, Journal of Applied Engineering Science, 19(4), pp. 926-933, 2021. https://doi.org/10.5937/jaes0-30742

[24] Juhász J.; Bányai T.; Veres L.; Hriczó K.: Description of package delivery task with mathematical model, ACADEMIC JOURNAL OF MANUFACTURING ENGINEERING 19: 2 pp. 39-47. , 9 p, 2021. 

[25] Juhász, J., Bányai, T.: Last mile logistics: An integrated view, IOP Conference Series: Materials Science and Engineering, 448(1), 2018. https://doi.org/10.1088/1757-899X/448/1/012026

[26] Juhász, J., Bányai, T.: What Industry 4.0 Means for Just-In-Sequence Supply in Automotive Industry? In: Jármai, K., Bolló, B. (eds) Vehicle and Automotive Engineering 2. VAE 2018. Lecture Notes in Mechanical Engineering. Springer, Cham, 2018). https://doi.org/10.1007/978-3-319-75677-6_19

[27] Juhász, J., Bányai, T.: Logistic aspects of real time decisions in intelligent transportation systems, In: Bodzás, Sándor; Mankovits, Tamás (szerk.) Proceedings of the 5th International Scientific Conference on Advances in Mechanical Engineering (ISCAME 2017), Debrecen, Magyarország: University of Debrecen Faculty of Engineering, 650 p. pp. 228-234. , 7 p, 2017.

[28] Péter, Tamás; Tamás, Bányai; Béla, Illés; Sándor, Tollár; Péter, Veres; Ákos, Cservenák; Ibolya, Hardai; Róbert, Skapinyecz: Development Possibilities of the High-tech Logistics Laboratory Established at the Institute of Logistics of the University of Miskolc JOURNAL OF ENGINEERING RESEARCH AND REPORTS 13 : 3 pp. 60-68. , 9 p. (2020)

[29] Cservenák, Á.: Path and Trajectory Planning for an Automated Carrier Vehicle Equipped with two Conveyor Belts used in Manufacturing Supply, MANUFACTURING TECHNOLOGY 21 : 2 pp. 163-182., 20 p. (2021)  





[1] Cselényi, J.; Illés, B.: Anyagáramlási rendszerek tervezése és irányítása I., Miskolc, Magyarország : Miskolci Egyetemi Kiadó (2006) , 384 p., ISBN: 9636616728  

[2] Cselényi, J.; Illés, B.: Logisztikai rendszerek I., Miskolc, Magyarország : Miskolci Egyetemi Kiadó (2004) , 369 p.  

[3] Illés, B.; Glistau, E.; Norge, I Coello Machado: Logisztika és minőségmenedzsment, Miskolc, Magyarország: (2007) , 195 p.  

[4] Tamás, P.: Komplex logisztikai rendszerek szimulációs vizsgálati módszerei, Miskolc, 2021., ISBN: 978-963-358-236-7  

[5] Tamás, P.: Innovative simulation testing methods in logistics: Miskolc, 2021., ISBN: 978-963-358-239-8   

[6] Tamás, P.; Illés, B.; Dobos, P.; Seres, L.: Lean módszerek a logisztikában, Miskolc-Egyetemváros, Magyarország : Miskolci Egyetemi Kiadó (2021) , 244 p., ISBN: 978-615-562-6593  

[7] Bányai, T.; Bányainé Tóth, Á.; Illés, B.; Tamás, P.: Ipar 4.0 és logisztika: Miskolc, 2019., ISBN: 978-963-358-182-7  

[8] Tamás, P., Drávucz, D.: Szimulációs modellezés a logisztikában: Miskolc, 2020., ISBN: 978-963-358-208-4, 167 p.,