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Economic Development Based on a Mathematical Model: An Optimal Solution Method for the Fuel Supply of International Road Transport Activity

Author

Listed:
  • Melinda Timea Fülöp

    (Faculty of Economics and Business Administration, Babeş–Bolyai University, 400591 Cluj-Napoca, Romania)

  • Miklós Gubán

    (Faculty of Finance and Accountancy, Budapest Business School, 1149 Budapest, Hungary)

  • György Kovács

    (Institute of Logistics, University of Miskolc, 3515 Miskolc, Hungary)

  • Mihály Avornicului

    (Faculty of Finance and Accountancy, Budapest Business School, 1149 Budapest, Hungary)

Abstract

Due to globalization and increased market competition, forwarding companies must focus on the optimization of their international transport activities and on cost reduction. The minimization of the amount and cost of fuel results in increased competition and profitability of the companies as well as the reduction of environmental damage. Nowadays, these aspects are particularly important. This research aims to develop a new optimization method for road freight transport costs in order to reduce the fuel costs and determine optimal fueling stations and to calculate the optimal quantity of fuel to refill. The mathematical method developed in this research has two phases. In the first phase the optimal, most cost-effective fuel station is determined based on the potential fuel stations. The specific fuel prices differ per fuel station, and the stations are located at different distances from the main transport way. The method developed in this study supports drivers’ decision-making regarding whether to refuel at a farther but cheaper fuel station or at a nearer but more expensive fuel station based on the more economical choice. Thereafter, it is necessary to determine the optimal fuel volume, i.e., the exact volume required including a safe amount to cover stochastic incidents (e.g., road closures). This aspect of the optimization method supports drivers’ optimal decision-making regarding optimal fuel stations and how much fuel to obtain in order to reduce the fuel cost. Therefore, the application of this new method instead of the recently applied ad-hoc individual decision-making of the drivers results in significant fuel cost savings. A case study confirmed the efficiency of the proposed method.

Suggested Citation

  • Melinda Timea Fülöp & Miklós Gubán & György Kovács & Mihály Avornicului, 2021. "Economic Development Based on a Mathematical Model: An Optimal Solution Method for the Fuel Supply of International Road Transport Activity," Energies, MDPI, vol. 14(10), pages 1-22, May.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:10:p:2963-:d:558559
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    1. Mariusz Urbański & Adnan ul Haque, 2020. "Are You Environmentally Conscious Enough to Differentiate between Greenwashed and Sustainable Items? A Global Consumers Perspective," Sustainability, MDPI, vol. 12(5), pages 1-25, February.
    2. Baohui Shi & Yuexia Zhang, 2021. "A Novel Algorithm to Optimize the Energy Consumption Using IoT and Based on Ant Colony Algorithm," Energies, MDPI, vol. 14(6), pages 1-17, March.
    3. Vonderembse, Mark A. & Uppal, Mohit & Huang, Samuel H. & Dismukes, John P., 2006. "Designing supply chains: Towards theory development," International Journal of Production Economics, Elsevier, vol. 100(2), pages 223-238, April.
    4. Jan Fabian Ehmke, 2012. "Routing in City Logistics," International Series in Operations Research & Management Science, in: Integration of Information and Optimization Models for Routing in City Logistics, edition 127, chapter 0, pages 119-156, Springer.
    5. Canan G. Corlu & Rocio de la Torre & Adrian Serrano-Hernandez & Angel A. Juan & Javier Faulin, 2020. "Optimizing Energy Consumption in Transportation: Literature Review, Insights, and Research Opportunities," Energies, MDPI, vol. 13(5), pages 1-33, March.
    6. David Frederick Ross, 2015. "Distribution Planning and Control," Springer Books, Springer, edition 0, number 978-1-4899-7578-2, October.
    7. Carlos Llano & Santiago Pérez-Balsalobre & Julian Pérez-García, 2018. "Greenhouse Gas Emissions from Intra-National Freight Transport: Measurement and Scenarios for Greater Sustainability in Spain," Sustainability, MDPI, vol. 10(7), pages 1-33, July.
    8. Inmaculada C. �lvarez-Ayuso & Ana M. Conde�o-Melhorado & Javier Guti�rrez & Jose L. Zof�o, 2016. "Integrating Network Analysis with the Production Function Approach to Study the Spillover Effects of Transport Infrastructure," Regional Studies, Taylor & Francis Journals, vol. 50(6), pages 996-1015, June.
    9. Damiaan Persyn & Jorge Diaz-Lanchas & Javier Barbero, 2019. "Estimating road transport costs between EU regions," JRC Working Papers on Territorial Modelling and Analysis 2019-04, Joint Research Centre.
    10. Thi Yen Pham & Gi-Tae Yeo, 2018. "A Comparative Analysis Selecting the Transport Routes of Electronics Components from China to Vietnam," Sustainability, MDPI, vol. 10(7), pages 1-18, July.
    11. S. P. Anbuudayasankar & K. Ganesh & Sanjay Mohapatra, 2014. "Models for Practical Routing Problems in Logistics," Springer Books, Springer, edition 127, number 978-3-319-05035-5, October.
    12. Laurino, Antonio & Beria, Paolo & Debernardi, Andrea & Ferrara, Emanuele, 2019. "Accessibility to Italian remote regions: Comparison among different transport alternatives," Transport Policy, Elsevier, vol. 83(C), pages 127-138.
    13. Wade D. Cook & Joe Zhu, 2005. "Modeling Performance Measurement," Springer Books, Springer, number 978-0-387-24138-8, October.
    14. Hassan S. Hayajneh & Xuewei Zhang, 2020. "Logistics Design for Mobile Battery Energy Storage Systems," Energies, MDPI, vol. 13(5), pages 1-14, March.
    15. 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.
    16. Asian, Sobhan & Hafezalkotob, Ashkan & John, Jubin Jacob, 2019. "Sharing economy in organic food supply chains: A pathway to sustainable development," International Journal of Production Economics, Elsevier, vol. 218(C), pages 322-338.
    17. Atanu Sengupta & Sanjoy De, 2020. "Review of Literature," India Studies in Business and Economics, in: Assessing Performance of Banks in India Fifty Years After Nationalization, chapter 0, pages 15-30, Springer.
    18. Bo Tang & Gangfeng Gao & Xiangwu Xia & Xiu Yang, 2018. "Integrated Energy System Configuration Optimization for Multi-Zone Heat-Supply Network Interaction," Energies, MDPI, vol. 11(11), pages 1-18, November.
    19. 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.
    20. Đurđica Stojanović & Jelena Ivetić & Marko Veličković, 2021. "Assessment of International Trade-Related Transport CO 2 Emissions—A Logistics Responsibility Perspective," Sustainability, MDPI, vol. 13(3), pages 1-15, January.
    21. Jan Fabian Ehmke, 2012. "Integration of Information and Optimization Models for Routing in City Logistics," International Series in Operations Research and Management Science, Springer, edition 127, number 978-1-4614-3628-7, April.
    22. Jessica Wehner, 2018. "Energy Efficiency in Logistics: An Interactive Approach to Capacity Utilisation," Sustainability, MDPI, vol. 10(6), pages 1-19, May.
    23. Gyorgy Kovacs & Sebastian Kot, 2016. "New Logistics And Production Trends As The Effect Of Global Economy Changes," Polish Journal of Management Studies, Czestochowa Technical University, Department of Management, vol. 14(2), pages 115-126, December.
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