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Shaping the Optimal Technology for Servicing the Long-Distance Deliveries of Packaged Cargo by Road Transport

Author

Listed:
  • Vitalii Naumov

    (Department of Transportation Systems, Faculty of Civil Engineering, Cracow University of Technology, Str. Warszawska 24, 31-155 Kraków, Poland)

  • Olha Shulika

    (Faculty of Mathematics and Information Technologies, Jagiellonian University, Str. Stanisława Łojasiewicza 6, 30-348 Kraków, Poland)

  • Oleksandra Orda

    (Transport Technologies Department, Kharkiv National Automobile and Highway University, Str. Yaroslava Mudroho 25, 61-002 Kharkiv, Ukraine)

  • Hanna Vasiutina

    (Department of Transportation Systems, Faculty of Civil Engineering, Cracow University of Technology, Str. Warszawska 24, 31-155 Kraków, Poland)

  • Marek Bauer

    (Department of Transportation Systems, Faculty of Civil Engineering, Cracow University of Technology, Str. Warszawska 24, 31-155 Kraków, Poland)

  • Myroslav Oliskevych

    (Department of Operation and Technical Service of Machines, L’viv National Agrarian University, Str. Volodymyra Velykoho 1, 30-831 Dublyany, Ukraine)

Abstract

The concept of sustainable transportation of goods as the primary paradigm for designing contemporary logistics systems assumes the use of energy-efficient and affordable modes of transport in a way that guarantees the most cost-efficient variant of the delivery scheme. That especially applies to road transport deliveries, where the number of alternatives for organizing the transportation process is numerous and the choice of the optimal solution is complicated by the multiple stochastic influences of the environment on the technological processes. In this paper, we contribute to solving the problem of shaping the sustainable delivery schemes by proposing an approach to shape the complete set of alternative transport and technological schemes for packaged cargo delivery by road transport. The developed mathematical model allows estimating the efficiency of each alternative delivery scheme for the given request and chooses the best variant that minimizes the total costs of all participants in the delivery process. The proposed algorithms are implemented in the C# programming language within the frame of a class library for modeling transport delivery processes. A case of transport processes for Delivery Ltd. (Kharkiv, Ukraine) is applied to illustrate the procedure of using the developed approach to choose the optimal transport and technological schemes for long-distance deliveries. As the result of simulating the goods transportation processes, we show the regression models that represent dependencies of the total costs for the implementation of a delivery scheme from the parameters of demand for the transportation of goods. These regression models allow estimating the most efficient delivery schemes based on the functional analysis of the obtained dependencies for the given demand parameters.

Suggested Citation

  • Vitalii Naumov & Olha Shulika & Oleksandra Orda & Hanna Vasiutina & Marek Bauer & Myroslav Oliskevych, 2022. "Shaping the Optimal Technology for Servicing the Long-Distance Deliveries of Packaged Cargo by Road Transport," Sustainability, MDPI, vol. 14(12), pages 1-17, June.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:12:p:7283-:d:838558
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    References listed on IDEAS

    as
    1. Bektas, Tolga & Laporte, Gilbert, 2011. "The Pollution-Routing Problem," Transportation Research Part B: Methodological, Elsevier, vol. 45(8), pages 1232-1250, September.
    2. Bhoopalam, Anirudh Kishore & Agatz, Niels & Zuidwijk, Rob, 2018. "Planning of truck platoons: A literature review and directions for future research," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 212-228.
    3. Khakdaman, Masoud & Rezaei, Jafar & Tavasszy, Lóránt A., 2020. "Shippers’ willingness to delegate modal control in freight transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    4. Boysen, Nils & Briskorn, Dirk & Schwerdfeger, Stefan, 2018. "The identical-path truck platooning problem," Transportation Research Part B: Methodological, Elsevier, vol. 109(C), pages 26-39.
    5. Vitalii Naumov, 2020. "Substantiating the Logistics Chain Structure While Servicing the Flow of Requests for Road Transport Deliveries," Sustainability, MDPI, vol. 12(4), pages 1-23, February.
    6. Mesa-Arango, Rodrigo & Ukkusuri, Satish V., 2014. "Attributes driving the selection of trucking services and the quantification of the shipper’s willingness to pay," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 71(C), pages 142-158.
    7. Dullaert, Wout & Zamparini, Luca, 2013. "The impact of lead time reliability in freight transport: A logistics assessment of transport economics findings," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 49(1), pages 190-200.
    8. Zhang, M. & Janic, M. & Tavasszy, L.A., 2015. "A freight transport optimization model for integrated network, service, and policy design," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 77(C), pages 61-76.
    9. Apivatanagul, Pruttipong & Regan, Amelia C., 2010. "Long haul freight network design using shipper-carrier freight flow prediction: A California network improvement case study," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(4), pages 507-519, July.
    10. Marufuzzaman, Mohammad & Ekşioğlu, Sandra Duni, 2017. "Managing congestion in supply chains via dynamic freight routing: An application in the biomass supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 99(C), pages 54-76.
    11. Sakai, Takanori & Kawamura, Kazuya & Hyodo, Tetsuro, 2020. "Logistics facilities for intra and inter-regional shipping: Spatial distributions, location choice factors, and externality," Journal of Transport Geography, Elsevier, vol. 86(C).
    12. Lewe, J.-H. & Hivin, L.F. & Mavris, D.N., 2014. "A multi-paradigm approach to system dynamics modeling of intercity transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 71(C), pages 188-202.
    13. Luigi Ranieri & Salvatore Digiesi & Bartolomeo Silvestri & Michele Roccotelli, 2018. "A Review of Last Mile Logistics Innovations in an Externalities Cost Reduction Vision," Sustainability, MDPI, vol. 10(3), pages 1-18, March.
    14. Yamada, Tadashi & Febri, Zukhruf, 2015. "Freight transport network design using particle swarm optimisation in supply chain–transport supernetwork equilibrium," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 75(C), pages 164-187.
    15. Techane Bosona, 2020. "Urban Freight Last Mile Logistics—Challenges and Opportunities to Improve Sustainability: A Literature Review," Sustainability, MDPI, vol. 12(21), pages 1-20, October.
    16. Yamada, Tadashi & Imai, Koji & Nakamura, Takamasa & Taniguchi, Eiichi, 2011. "A supply chain-transport supernetwork equilibrium model with the behaviour of freight carriers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 887-907.
    17. Zhang, Wei & Jenelius, Erik & Ma, Xiaoliang, 2017. "Freight transport platoon coordination and departure time scheduling under travel time uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 98(C), pages 1-23.
    18. Shintani, Koichi & Konings, Rob & Imai, Akio, 2010. "The impact of foldable containers on container fleet management costs in hinterland transport," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(5), pages 750-763, September.
    19. Patrick Hirsch, 2011. "Minimizing Empty Truck Loads in Round Timber Transport with Tabu Search Strategies," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global, vol. 4(2), pages 15-41, April.
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