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Container Loading Optimization in Rail–Truck Intermodal Terminals Considering Energy Consumption

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  • Li Wang

    (School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China)

  • Xiaoning Zhu

    (School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China)

Abstract

Rail–truck intermodal terminals are an important type of dry port and play a vital role in inland freight transport. This paper addresses the container loading problem in rail–truck intermodal terminals considering energy consumption under the sustainability concept. We analyze the effect factors of energy efficiency for container loading operations and develop an optimization model to minimize the total handling time and container reshuffling. A genetic algorithm is designed to obtain the optimal container loading sequence. Computational experiments on a specific Chinese rail–truck intermodal terminal were conducted to evaluate the performance of our approach. Results show our approach has a good performance for different sizes, and the total handing time, reshuffling times and energy consumption of the handling task are prominently decreased.

Suggested Citation

  • Li Wang & Xiaoning Zhu, 2019. "Container Loading Optimization in Rail–Truck Intermodal Terminals Considering Energy Consumption," Sustainability, MDPI, vol. 11(8), pages 1-15, April.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:8:p:2383-:d:224901
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    1. Riccardo Giusti & Chiara Iorfida & Yuanyuan Li & Daniele Manerba & Stefano Musso & Guido Perboli & Roberto Tadei & Shuai Yuan, 2019. "Sustainable and De-Stressed International Supply-Chains Through the SYNCHRO-NET Approach," Sustainability, MDPI, vol. 11(4), pages 1-26, February.
    2. Anne V. Goodchild & Carlos F. Daganzo, 2006. "Double-Cycling Strategies for Container Ships and Their Effect on Ship Loading and Unloading Operations," Transportation Science, INFORMS, vol. 40(4), pages 473-483, November.
    3. Bierwirth, Christian & Meisel, Frank, 2015. "A follow-up survey of berth allocation and quay crane scheduling problems in container terminals," European Journal of Operational Research, Elsevier, vol. 244(3), pages 675-689.
    4. Boysen, Nils & Fliedner, Malte & Kellner, Michael, 2010. "Determining fixed crane areas in rail-rail transshipment yards," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(6), pages 1005-1016, November.
    5. Frank Meisel & Christian Bierwirth, 2013. "A Framework for Integrated Berth Allocation and Crane Operations Planning in Seaport Container Terminals," Transportation Science, INFORMS, vol. 47(2), pages 131-147, May.
    6. Boysen, Nils & Fliedner, Malte, 2010. "Determining crane areas in intermodal transshipment yards: The yard partition problem," European Journal of Operational Research, Elsevier, vol. 204(2), pages 336-342, July.
    7. Iris, Çağatay & Christensen, Jonas & Pacino, Dario & Ropke, Stefan, 2018. "Flexible ship loading problem with transfer vehicle assignment and scheduling," Transportation Research Part B: Methodological, Elsevier, vol. 111(C), pages 113-134.
    8. Iris, Çağatay & Pacino, Dario & Ropke, Stefan & Larsen, Allan, 2015. "Integrated Berth Allocation and Quay Crane Assignment Problem: Set partitioning models and computational results," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 81(C), pages 75-97.
    9. Hwan Kim, Kap & Bae Kim, Hong, 1999. "Segregating space allocation models for container inventories in port container terminals," International Journal of Production Economics, Elsevier, vol. 59(1-3), pages 415-423, March.
    10. Ding, Ding & Chou, Mabel C., 2015. "Stowage planning for container ships: A heuristic algorithm to reduce the number of shifts," European Journal of Operational Research, Elsevier, vol. 246(1), pages 242-249.
    11. Baykasoğlu, Adil & Subulan, Kemal, 2016. "A multi-objective sustainable load planning model for intermodal transportation networks with a real-life application," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 95(C), pages 207-247.
    12. Lee, Der-Horng & Wang, Hui Qiu & Miao, Lixin, 2008. "Quay crane scheduling with non-interference constraints in port container terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(1), pages 124-135, January.
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    Cited by:

    1. Ercan Kurtulus & Ismail Bilge Cetin, 2019. "Assessing the Environmental Benefits of Dry Port Usage: A Case of Inland Container Transport in Turkey," Sustainability, MDPI, vol. 11(23), pages 1-16, November.
    2. Amir Gharehgozli & Debjit Roy & Suruchika Saini & Jan-Kees Ommeren, 2023. "Loading and unloading trains at the landside of container terminals," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 25(3), pages 549-575, September.
    3. Guo, Xiaoyan & He, Junliang & Yu, Hang & Liu, Mei, 2023. "Carbon peak simulation and peak pathway analysis for hub-and-spoke container intermodal network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 180(C).
    4. Kaidabettu, Chiraag Dinesh & Lange, Ann-Kathrin & Jahn, Carlos, 2021. "Gantry crane scheduling and storage techniques in rail-road terminals," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Adapting to the Future: Maritime and City Logistics in the Context of Digitalization and Sustainability. Proceedings of the Hamburg International Conf, volume 32, pages 457-492, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    5. Gang Ren & Xiaohan Wang & Jiaxin Cai & Shujuan Guo, 2021. "Allocation and Scheduling of Handling Resources in the Railway Container Terminal Based on Crossing Crane Area," Sustainability, MDPI, vol. 13(3), pages 1-24, January.
    6. Mehran Farzadmehr & Valentin Carlan & Thierry Vanelslander, 2023. "Contemporary challenges and AI solutions in port operations: applying Gale–Shapley algorithm to find best matches," Journal of Shipping and Trade, Springer, vol. 8(1), pages 1-44, December.

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