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Tytuł artykułu

Model of optimization of the parameters of the delivery process in international traffic

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The efficiency of border crossing services depends on a number of parameters, including the scope of control activities, the number of vehicles to be serviced and the human resources involved. The paper presents the mathematical model allowing the optimization of service parameters at the border crossing point. The queuing theory was implemented due to unbalanced nature of processes. Scientific interest of the model relates to the optimization of the parameters in international goods delivery under the conditions of random nature of vehicles arrival, and with the uneven intensity of servicing vehicles by state administrative services at the crossing border. The model takes into account the trade-off between the number of border staff and vehicle handling time. As a result of the application of the model, the handling process at the border crossing can be optimized, which will lead to a reduction of delivery costs in international traffic.
Rocznik
Tom
Strony
221--235
Opis fizyczny
Bibliogr. 28 poz.
Twórcy
  • Lviv Polytechnic National University, Department of Transport Technology, Stepana Bandery Street, 12, 79000 Lviv, Ukraine
  • Poznan University of Technology, Faculty of Civil and Transport Engineering, pl. M. Sklodowskiej-Curie 5, 60-965 Poznan, Poland
  • Poznan University of Technology, Faculty of Mechanical Engineering, pl. M. Sklodowskiej-Curie 5, 60-965 Poznan, Poland
  • Rzeszow University of Technology, Faculty of Mechanical Engineering and Aeronautics, al. Powstańców Warszawy 12, 35-959 Rzeszow, Poland
  • West Pomeranian University of Technology in Szczecin, Faculty of Maritime Technology and Transport, al. Piastów 17, 70-310 Szczecin, Poland
  • Baden-Württemberg Institute of Sustainable Mobility, Hochschule Karlsruhe University of Applied Sciences, Moltkestraße, 30, 76133 Karlsruhe, Germany
Bibliografia
  • 1. Illés Béla, Véha Antal, Laszlo Vida. 2020. „New ideas for inland intermodal transport”. Transport Problems 15(1): 117-130. ISSN: 1896-0596. DOI: 10.21307/tp-2020-011.
  • 2. Pašagić Škrinjar Jasmina, Miroslav Drljača, Zvonco Kavran. 2013. „Logistics of international express shipping and air traffic”. Promet - Traffic&Transportation 25(3): 209-215. ISSN: 0353-5320. DOI: 10.7307/ptt.v25i3.1322
  • 3. Zhang Yanqi, Xiaofei Kou, Zhigang Song, Yuqing Fan, Mohammed Usman, Vishal Jagota. 2021. „V. Research on logistics management layout optimization and real-time application based on nonlinear programming”. Nonlinear Engineering 10(1): 526-534. ISSN: 2192-8029. DOI: 10.1515/nleng-2021-0043.
  • 4. Madyar Ruslana, Viktoria Hadmashi, Svitlana Dalekorei. 2021. „Managing supply chain costs as a tool to achieve competitive business benefits in the global economic space”. Investments: practice and experience 1: 66-70. ISSN: 2306-6814. DOI: 10.32702/2306-6814.2021.1.66.
  • 5. Joby George, Madhusudanan Pillai. 2019. „A study of factors affecting supply chain performance”. In: International Conference on Aerospace and Mechanical Engineering. Journal of Physics: Conference Series 1355:1-8. TKM College of Engineering, Kerala, India. 17-19 December 2018, Kerala, India. ISSN: 1742-6596. DOI: 10.1088/1742-6596/1355/1/012018.
  • 6. Garcia Daniel, Fengdi You. 2015. „Supply chain design and optimization: Challenges and opportunities”. Computers & Chemical Engineering 81:153-170. ISSN: 0098-1354. DOI: 10.1016/j.compchemeng.2015.03.015.
  • 7. Shramenko Natalya, Vladyslav Shramenko. 2019. „Optimization of technological specifications and methodology of estimating the efficiency of the bulk cargoes delivery process”. Scientific Bulletin of National Mining University 3:146-151. ISSN: 2071-2227. DOI: 10.29202/nvngu/2019-3/15.
  • 8. Vostriakova Viktorija, Oleksandra Kononova, Sergey Kravchenko, Andriy Ruzhytskyi, Nataliia Sereda. 2021. „Optimization of Agri-Food Supply Chain in a Sustainable Way Using Simulation Modeling”. International Journal of Computer Science and Network Security 21(3): 245-256. ISSN: 1738-7906. DOI: 10.22937/IJCSNS.2021.21.3.33.
  • 9. Bertsimas Dimitris, NatalyYoussef. 2020. „Stochastic optimization in supply chain networks: averaging robust solutions”. Optimization Letters14:839-855. ISSN: 1862-4472. DOI: 10.1007/s11590-019-01405-0.
  • 10. Izdebski Mariusz, Ilona Jacyna-Gołda, Piotr Gołębiowski. Jaroslav Plandor. 2020. „The optmization tool supporting supply chain management in the multi-criteria approach”. Archives of civil engineering 66(3):505-524. ISSN: 1230-2945. DOI: 10.24425/ase.2020.134410.
  • 11. Escobar John Willmer. 2017. „Supply chain optimization with variable demand by considering financial criteria and scenarios”. Revista Facultad de Ingeniería 26(44): 23-34. ISSN: 0121-1129. DOI: 10.19053/01211129.v26.n44.2017.5769.
  • 12. Bertsimas Dimitris, Aurelie Thiele. 2004. „A robust optimization approach to supply chain management”. Lecture Notes in Computer Science 3064: 86-100. ISSN: 0302-9743. DOI: 10.1007/978-3-540-25960-2_7.
  • 13. Alkahtani Mohammed. 2022. „Supply chain management optimization and prediction model based on projected stochastic gradient”. Sustainability 14(6): 3486. ISSN: 2071-1050. DOI: 10.3390/su14063486.
  • 14. Sitek Paweł, Jarosław Wikarek. 2012. „Cost optimization of supply chain with multimodal transport”. In: Federated Conference on Computer Science and Information Systems (FedCSIS). Polskie Towarzystwo Informatyczne, Warsaw, Poland. 09-12 September 2012, Wrocław, Poland. IEE. P. 1111-1118. Available at: https://ieeexplore.ieee.org/document/6354344.
  • 15. Peraković Dragan, Marko Periša, Rosana Sente. 2019. „Information and communication technologies within industry 4.0 Concept”. In: Advances in Design, Simulation and Manufacturing. Lecture Notes in Mechanical Engineering, edited by Vitalii Ivanov, et al. Springer, Cham. P. 127-134. ISSN: 2195-4356. DOI: 10.1007/978-3-319-93587-4_14.
  • 16. Turpak Serhii, Igor Taran, Oleksij Fomin, Olena Tretiak. 2018. „Logistic technology to deliver raw material for metallurgical production”. Scientific Bulletin of National Mining University 1: 162-169. ISSN: 2071-2227. DOI: 10.29202/nvngu/2018-1/3.
  • 17. Khalipova Nataliya, Arkadii Bosov, Iryna Progonyuk. 2018. „Development of a model for the integrated management of the international delivery chains formation”. Eastern-European Journal of Enterprise Technologies: Control Processes 3(93): 59-72. ISSN: 1729-3774. DOI: 10.15587/1729-4061.2018.132683.
  • 18. Bosov Arkadii, Natalyia Khalipova. 2017. „Formation of separate optimization models for the analysis of transportation-logistics systems”. Eastern-European Journal of Enterprise Technologies: Control Processes 3(87): 11-20. ISSN: 1729-3774. DOI: 10.15587/1729-4061.2017.103220.
  • 19. Muzylyov Dmitriy, Andrey Kravcov, Mykola Karnayh, Natalija Berezhnaja, Olesya Kutiya. 2016. „Development of a methodology for choosing conditions of interaction between harvesting and transport complexes”. Eastern European Journal of Enterprise Technologies 2(3):11-21. ISSN: 1729-3774. DOI: 10.15587/1729-4061.2016.65670.
  • 20. Medvediev Ievgen, Peter Eliseyev, Iryna Lebid, Olha Sakno. 2020. A modelling approach to the transport support for the harvesting and transportation complex under uncertain conditions. In: 26th Technical and Scientific Conference Transport, Ecology – Sustainable Development. Varna, Bulgaria. 8-10 October 2020. IOP Conference Series: Materials Science and Engineering 977(012003). DOI: 10.1088/1757-899X/977/1/012003.
  • 21. Vojtov Viktor, Olesya Kutiya, Natalija Berezhnaja, Mykola Karnaukh, Oksana Bilyaeva. 2019. „Modeling of reliability of logistic systems of urban freight transportation taking into account street congestion”. Eastern European Journal of Enterprise Technologies 4(100): 15-21. ISSN: 1729-3774. DOI: 10.15587/1729-4061.2019.175064.
  • 22. Matsiuk Viacheslav. 2017. „A study of the technological reliability of railway stations by an example of transit trains processing”. Eastern European Journal of Enterprise Technologies 1(85): 18-24. ISSN: 1729-3774. DOI: 10.15587/1729-4061.2017.91074.
  • 23. Samsonkin Valerii. Oleksii Goretskyi, Viacheslav Matsiuk, Viktor Myronenko, Anatoliy Boinik, Viktor Merkulov. 2019. „Development of an approach for operative control over railway transport technological safety based on the identification of risks in the indicators of its operation”. Eastern European Journal of Enterprise Technologies: Control processes 3(102): 06-14. ISSN: 1729-3774. DOI: 10.15587/1729-4061.2019.184162.
  • 24. Kliuiev Sergii, Ievgen Medvediev, Serhiy Soroka, Vasyl Dubuk. 2020. „Development of the intelligent rail vehicle control system”. In: 15th International Conference on Computer Sciences and Information Technologies (CSIT). Lviv-Zbarazh, Ukraine. 23-26 September 2020. Proceedings IEEE 1: 369-372. ISSN: 2766-3655. DOI: 10.1109/CSIT49958.2020.9321866.
  • 25. Turpak Serhii, Irina Taran, Olena Ostrohliad. 2018. „Improvement of a system controlling a process of railcars unloading in the context of changes in temperature mode while operating”. Radio Electronics, Computer Science, Control 1: 183-191. ISSN: 1607-3274. DOI: 10.15588/1607-3274-2018-1-21.
  • 26. Скіцько Володимир. 2018. „Цифрові технології сучасної логістики та управління ланцюгами поставок”. Маркетинг і цифрові технології 2(3): 48-63. ISSN: 2523-434X. Available at: https://mdt-opu.com.ua/index.php/mdt/article/view/44. [In Ukrainian: Skitsko Volodymyr. 2018. „Digital technologies of modern logistics and supply chain management”. Marketing and digital technologies 2(3): 48-63].
  • 27. Kolot Anatoliy, Oksana Herasymenko, 2020. „Digital transformation and new business models as determinants of formation of the economy of nontypical employment”. Social and labour relations: theory and practice 10(1):33-54. ISSN: 2410-4752. DOI: 10.21511/slrtp.10(1).2020.06.
  • 28. Kine Helen Zewdie, Girma Gebresenbet, Lorent Tavasszy, David Ljungberg. 2022. „Digitalization and automation in intermodal freight transport and their potential application for low-income countries”. Future Transportation 2: 41-54. ISSN: 2673-7590. DOI: 10.3390/futuretransp2010003.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-9abfb67e-0bca-45f8-afdb-43a55d67216c
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