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Locomotive fuel management with inline refueling

Author

Listed:
  • Kazemi, Ahmad
  • Ernst, Andreas T.
  • Krishnamoorthy, Mohan
  • Le Bodic, Pierre

Abstract

Fuel and fuel-related expenses constitute a major part of the operating costs of railway companies. Hence, improvements in fuel management often lead to significant annual operational cost savings. The traditional approach to reduce the fueling costs is to fill the locomotives at inexpensive stations to bypass the more expensive stations. However, this approach is not applicable to rail networks with long-haul operations. Railway companies have started adopting inline refueling tanks, a supplementary reservoir which can refuel locomotives during a trip, and can be refueled, attached, detached, and swapped at any station, independently of locomotives. This new technology offers many opportunities for railway companies, in particular to facilitate long-hauls and to leverage fuel cost differences. As always, new opportunities mean new challenges, as inline tanks engender combinatorially many new possible refueling plans. Moreover, since the inline tanks are a substantial investment, the number of available inline tanks is limited. To tackle this, we design a first optimization model that determines the assignment to trains and refueling plans for a fleet of inline tanks. Our analysis shows on an Australian case study and on the INFORMS data set for the USA that inline tanks can lead to a substantial return on investment, thereby informing strategic-level decisions such as the purchase of inline tanks or the closing down of fuel stations. Furthermore, we provide analyses that reveal further managerial insights on the benefits of inline refueling. Finally, we empirically demonstrate the difficulty of this problem and develop a heuristic to tackle large instances.

Suggested Citation

  • Kazemi, Ahmad & Ernst, Andreas T. & Krishnamoorthy, Mohan & Le Bodic, Pierre, 2021. "Locomotive fuel management with inline refueling," European Journal of Operational Research, Elsevier, vol. 293(3), pages 1077-1096.
  • Handle: RePEc:eee:ejores:v:293:y:2021:i:3:p:1077-1096
    DOI: 10.1016/j.ejor.2020.12.042
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    References listed on IDEAS

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    1. Balachandran Vaidyanathan & Ravindra K. Ahuja & James B. Orlin, 2008. "The Locomotive Routing Problem," Transportation Science, INFORMS, vol. 42(4), pages 492-507, November.
    2. P P Zouein & W R Abillama & E Tohme, 2002. "A multiple period capacitated inventory model for airline fuel management: a case study," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(4), pages 379-386, April.
    3. Sheng, Xiaoming & Chew, Ek Peng & Lee, Loo Hay, 2015. "(s,S) policy model for liner shipping refueling and sailing speed optimization problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 76(C), pages 76-92.
    4. Reinhardt, Line Blander & Pisinger, David & Sigurd, Mikkel M. & Ahmt, Jonas, 2020. "Speed optimizations for liner networks with business constraints," European Journal of Operational Research, Elsevier, vol. 285(3), pages 1127-1140.
    5. S. A. MirHassani & R. Ebrazi, 2013. "A Flexible Reformulation of the Refueling Station Location Problem," Transportation Science, INFORMS, vol. 47(4), pages 617-628, November.
    6. Chung, Sung Hoon & Kwon, Changhyun, 2015. "Multi-period planning for electric car charging station locations: A case of Korean Expressways," European Journal of Operational Research, Elsevier, vol. 242(2), pages 677-687.
    7. Wang, Ying-Wei & Lin, Chuah-Chih, 2009. "Locating road-vehicle refueling stations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(5), pages 821-829, September.
    8. D. Wayne Darnell & Carolyn Loflin, 1977. "National Airlines Fuel Management and Allocation Model," Interfaces, INFORMS, vol. 7(2), pages 1-16, February.
    9. Omar Besbes & Sergei Savin, 2009. "Going Bunkers: The Joint Route Selection and Refueling Problem," Manufacturing & Service Operations Management, INFORMS, vol. 11(4), pages 694-711, February.
    10. Anjos, Miguel F. & Gendron, Bernard & Joyce-Moniz, Martim, 2020. "Increasing electric vehicle adoption through the optimal deployment of fast-charging stations for local and long-distance travel," European Journal of Operational Research, Elsevier, vol. 285(1), pages 263-278.
    11. Yıldız, Barış & Arslan, Okan & Karaşan, Oya Ekin, 2016. "A branch and price approach for routing and refueling station location model," European Journal of Operational Research, Elsevier, vol. 248(3), pages 815-826.
    12. Guedes, Pablo C. & Borenstein, Denis, 2018. "Real-time multi-depot vehicle type rescheduling problem," Transportation Research Part B: Methodological, Elsevier, vol. 108(C), pages 217-234.
    13. Ons Sassi & Ammar Oulamara, 2017. "Electric vehicle scheduling and optimal charging problem: complexity, exact and heuristic approaches," International Journal of Production Research, Taylor & Francis Journals, vol. 55(2), pages 519-535, January.
    14. Nourbakhsh, Seyed Mohammad & Ouyang, Yanfeng, 2010. "Optimal fueling strategies for locomotive fleets in railroad networks," Transportation Research Part B: Methodological, Elsevier, vol. 44(8-9), pages 1104-1114, September.
    15. Meng, Qiang & Wang, Shuaian & Lee, Chung-Yee, 2015. "A tailored branch-and-price approach for a joint tramp ship routing and bunkering problem," Transportation Research Part B: Methodological, Elsevier, vol. 72(C), pages 1-19.
    16. John S. Stroup & Richard D. Wollmer, 1992. "A Fuel Management Model for the Airline Industry," Operations Research, INFORMS, vol. 40(2), pages 229-237, April.
    17. Zhen, Lu & Wang, Shuaian & Zhuge, Dan, 2017. "Dynamic programming for optimal ship refueling decision," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 100(C), pages 63-74.
    18. Ingmar Steinzen & Vitali Gintner & Leena Suhl & Natalia Kliewer, 2010. "A Time-Space Network Approach for the Integrated Vehicle- and Crew-Scheduling Problem with Multiple Depots," Transportation Science, INFORMS, vol. 44(3), pages 367-382, August.
    19. Christian Edinger Munk Plum & Peter Neergaard Jensen & David Pisinger, 2014. "Bunker purchasing with contracts," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 16(4), pages 418-435, December.
    20. Oded Berman & Richard C. Larson & Nikoletta Fouska, 1992. "Optimal Location of Discretionary Service Facilities," Transportation Science, INFORMS, vol. 26(3), pages 201-211, August.
    21. Kuby, Michael & Lim, Seow, 2005. "The flow-refueling location problem for alternative-fuel vehicles," Socio-Economic Planning Sciences, Elsevier, vol. 39(2), pages 125-145, June.
    22. Kliewer, Natalia & Mellouli, Taieb & Suhl, Leena, 2006. "A time-space network based exact optimization model for multi-depot bus scheduling," European Journal of Operational Research, Elsevier, vol. 175(3), pages 1616-1627, December.
    23. V. Prem Kumar & Michel Bierlaire, 2015. "Optimizing Fueling Decisions for Locomotives in Railroad Networks," Transportation Science, INFORMS, vol. 49(1), pages 149-159, February.
    24. Wang, Shuaian & Meng, Qiang, 2015. "Robust bunker management for liner shipping networks," European Journal of Operational Research, Elsevier, vol. 243(3), pages 789-797.
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