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Strategy for the implementation of transport processes toward improving services

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The current situation in the commodities market has forced suppliers to change their ways of satisfying customer needs. The supply chain aims to deliver raw materials, semi-finished products and finished products to the right place at the right time, incurring the lowest costs. Therefore, high-quality transport services have become indispensable in competing with other entities, enterprises are guided by the timeliness of deliveries in the Just-in-Time and Door-to-Door systems, and the costs incurred. Hence, to ensure that the pursued actions are implemented effectively, it is imperative to apply a process strategy comprising a characteristic component of the transport process management that would have a significant impact on the improvement of the services provided. In this paper, the authors conducted research on a real object of cargo transport on fixed routes and established a concept of streamlining the transport processes carried out at a company. The improvement concept proposed by the authors permits the minimization of the time of loading operations on routes related to a specific load. The result is a reduced total time of cargo transport, which offers the possibility of taking more orders at the studied company.
Rocznik
Tom
Strony
173--193
Opis fizyczny
Bibliogr. 25 poz.
Twórcy
  • Kazimierz Pulaski University of Technology and Humanities in Radom, Faculty of Transport, Electrical Engineering and Computer Science, Malczewskiego 29, 26-600 Radom, Poland
  • Kazimierz Pulaski University of Technology and Humanities in Radom, Faculty of Transport, Electrical Engineering and Computer Science, Malczewskiego 29, 26-600 Radom, Poland
  • University of Information Technology and Management in Rzeszow, Chair of Logistics and Process Engineering, Sucharskiego 2, 35-225 Rzeszow, Poland
Bibliografia
  • 1. Bokor Z., R. Markovits-Somogyi. 2015. „Improved cost management at small and medium sized road transport companies: case Hungary”. Promet-Traffic & Transportation 27(5): 417-428. DOI: https://doi.org/10.7307/ptt.v27i5.1719.
  • 2. Pandelis D.G., C.C. Karamatsoukis, E.G. Kyriakidis. 2013. „Finite and infinite- horizon single vehicle routing problems with a predefined customer sequence and pickup and delivery”. European Journal of Operational Research 231: 577-586. DOI: https://doi.org/10.1016/j.ejor.2013.05.050.
  • 3. Elbert R., D. Thiel, D. Reinhardt. 2016. „Delivery Time Windows for Road Freight Carriers and Forwarders - Influence of Delivery Time Windows on the Costs of Road Transport Services”. Comercial Transport. Book Series: Lecture Notes in Logistics: 255-274. DOI: https://doi.org/10.1007/978-3-319-21266-1_17.
  • 4. Jacyna M., M. Wasiak. 2015. „Costs of road transport depending on the type of vehicles”. Combustion Engines 162(3): 85-90. ISSN: 2300-9896.
  • 5. Kauf S., A. Tłuczak. 2016. Optymalizacja decyzji logistycznych. [In Polish: Optimization of logistics decisions]. Difin. Warsaw. ISBN: 978-83-8085-258-7.
  • 6. Krajnc J., K. Logožar, B. Korošec. 2012. „Activity- Based Management of Logistic Costs in a Manufacturing Company: A Case of Increased Visibility of Logistic Costs in a Slovenian Paper Manufacturing Company”. Promet-Traffic & Transportation 24(1): 15-24. DOI: https://doi.org/10.7307/ptt.v24i1.265.
  • 7. Kot S. 2015. „Cost structure in relation to the size of road transport enterprises”. Promet -Traffic & Transportation 27(5): 387-394. DOI: https://doi.org/10.7307/ptt.v27i5.1687.
  • 8. Ardakani M.K., L. Sun. 2012. „Decremental algorithm for adaptive routing incorporating traveler information”. Computers & Operations Research 39: 3012-3020. DOI: https://doi.org/10.1016/j.cor.2012.03.006.
  • 9. Ghannadpour S.F., S. Noori, R. Tavakkoli-Moghaddam, K. Ghoseiri. 2014. „A multiobjective dynamic vehicle routing problem with fuzzy time windows: Model, solution and application”. Applied Soft Computing 14(C): 504-527. DOI: https://doi.org/10.1016/j.asoc.2013.08.015.
  • 10. Suzuki Y. 2012. „A decision support system of vehicle routing and refueling for motor carriers with time-sensitive demands”. Decision Support Systems 54(1): 758-767. DOI: https://doi.org/10.1016/j.dss.2012.09.004.
  • 11. Oliskevych M. 2019. „Dynamic scheduling of highway cargo transportation”. In Proceedings of the 1st International Scientific Conference ICCPT 2019 „Current Problems of Transport”: 141-151. Ternopil, Ukraine, DOI: https://doi.org/10.5281/zenodo.3387524.
  • 12. Yang Z., J.P. van Osta, B. van Veen, R. van Krevelen, R. van Klaveren, A. Stam, J. Kok, T. Bäck, M. Emmerich. 2017. „Dynamic vehicle routing with time windows in theory and practice”. Natural Computing 16(1): 119-134. DOI: https://doi.org/10.1007/s11047-016-9550-9.
  • 13. Caban J., P. Droździel, L. Krzywonos, I. Rybicka, B. Šarkan, J. Vrábel. 2019. „Statistical analyses of selected maintenance parameters of vehicle of road transport companies”. Advances in Science and Technology Research Journal 13(1): 1-13. DOI: https://doi.org/10.12913/22998624/92106.
  • 14. Neumann T. 2017. „Fuzzy Routing Algorithm in Telematics Transportation Systems”, Part of the Communications in Computer and Information Science. Presented at the 17th International Conference Transport Systems Telematics Conference TST 2017: Smart Solutions in Today’s Transport: 494-505. Springer International Publishing, Katowice‐Ustroń. DOI: https://doi.org/10.1007/978-3-319-66251-0_40.
  • 15. Simanová Ľ., R. Stasiak-Betlejewska. 2019. „Monitoring and Improvement of Logistic Processes in Enterprises of the Slovak Republic”. LOGI – Scientific Journal on Transport and Logistics 10(1): 62-71. DOI: https://doi.org/10.2478/logi-2019-0007.
  • 16. Pečený L., P. Meško, R. Kampf, J. Gašparík. 2020. „Optimisation in Transport and Logistic Processes”. Transportation Research Procedia 44: 15-22. DOI: https://doi.org/10.1016/j.trpro.2020.02.003.
  • 17. Zubkov V. 2022. „Detailing the Impact Structure of the Participants of the Complex Transport Service“. In: Conference proceedings: Technological Advancements in Construction, Part of the Lecture Notes in Civil Engineering book series, 180: 225-234. DOI: https://doi.org/10.1007/978-3-030-83917-8_21.
  • 18. Study of the chair „Analysis and organization of transport processes in the transport company Bar-Trans at the turn of 2019-2020”. University of Information Technology and Management in Rzeszow, Rzeszów 2022.
  • 19. Liu Z., Y. Wu, T. Liu, X. Wang, W. Li, Y. Yin, X. Xiao. 2021. „Double path optimization of transport of industrial hazardous waste based on green supply chain management”. Sustainability 13(9)5215: 1-19. DOI: https://doi.org/10.3390/su13095215.
  • 20. Gharehgozli A., H. de Vries, S. Decrauw. 2019. „The role of standardisation in European intermodal transportation”. Maritime Business Review 4(2): 151-168. ISSN: 2397-3757. DOI: https://doi.org/10.1108/MABR-09-2018-0038.
  • 21. Kordel Z. 2019. Polski transport samochodowy ładunków. [In Polish: Polish road transport of cargo]. CeDeWu Sp.z o.o. Warszawa. ISBN: 978-83-8102-283-5.
  • 22. Rybicka I., P. Droździel, O. Stopka, V. Ľupták. 2018. „Methodology to propose a regional transport organization within specific integrated transport system: A case study”. Transport Problems 13(4): 115-125. DOI: 10.20858/tp.2018.13.4.11.
  • 23. Kong Y., B. Tian, Q. Wang, D. Liu, Y. Gao, C. Li, Y. Zhang. 2021. „Construction of the Optimization Model of Cargo Transport Network”. 7th International Conference on Energy Materials and Environment Engineering ICEMEE 2021. E3S Web Conf. No 03013(261): 1-4. DOI: https://doi.org/10.1051/e3sconf/202126103013.
  • 24. Memon M.A., A. Shaikh, A. Sulaiman, A. Alghamdi, M. Alrizq, B. Archimède. 2021. „Time and quantity based hybrid consolidation algorithms for reduced cost products delivery”. Computers, Materials and Continua 69(1): 409-432. DOI: https://doi.org/10.32604/cmc.2021.017653.
  • 25. Pasza J., M.A. Dulebenets, M. Kavoosi, O.F. Abioye, H. Wang, W. Guo. 2020. „An Optimization Model and Solution Algorithms for the Vehicle Routing Problem with a “Factory-in-a-Box” “. IEEE Access 8: 134743-134763. DOI: https://doi.org/10.1109/ACCESS.2020.3010176.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-bd6bac6f-57cd-4765-8bbd-0fcb799b9e29
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