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A market-oriented approach for intermodal network optimisation meeting cost, time and environmental requirements

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  • Lam, Jasmine Siu Lee
  • Gu, Yimiao

Abstract

An increasing number of logistics service providers act as freight integrators in offering one-stop solutions to customers in recent years. Most mathematical models of intermodal network design have been developed with a single objective of cost minimisation. This study focuses on developing innovative approaches in the area of enhanced intermodal network design provided by freight integrators. The overall aim of this paper is to demonstrate an original optimisation model that can be employed by freight integrators to address cost minimisation, transit time minimisation, and carbon footprint to better meet market needs. To achieve the aim, this paper develops a bi-objective optimisation model to minimise cost and transit time for the tactical planning of intermodal container flows with constrained carbon emission. The results and analysis of the example of China offer practical insights on the impact of trade-offs between cost and transit time, and the effect of different carbon emission restrictions on intermodal network design.

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  • Lam, Jasmine Siu Lee & Gu, Yimiao, 2016. "A market-oriented approach for intermodal network optimisation meeting cost, time and environmental requirements," International Journal of Production Economics, Elsevier, vol. 171(P2), pages 266-274.
    • Handle: RePEc:eee:proeco:v:171:y:2016:i:p2:p:266-274
    DOI: 10.1016/j.ijpe.2015.09.024
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    11. Heinold, Arne & Meisel, Frank, 2020. "Emission limits and emission allocation schemes in intermodal freight transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    12. Ferreira, Diogo Cunha & Marques, Rui Cunha & Pedro, Maria Isabel, 2018. "Explanatory variables driving the technical efficiency of European seaports: An order-α approach dealing with imperfect knowledge," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 119(C), pages 41-62.
    13. Shou-feng Ji & Rong-juan Luo, 2017. "A Hybrid Estimation of Distribution Algorithm for Multi-Objective Multi-Sourcing Intermodal Transportation Network Design Problem Considering Carbon Emissions," Sustainability, MDPI, vol. 9(7), pages 1-24, June.
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    15. Rizwan Shoukat, 2023. "Multimodal or intermodal: greenhouse gas emissions in less than container load in China–Pakistan trade," Environment Systems and Decisions, Springer, vol. 43(2), pages 265-280, June.
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    17. Wang, Zhenjie & Zhang, Dezhi & Tavasszy, Lóránt & Fazi, Stefano, 2023. "Integrated multimodal freight service network design and pricing with a competing service integrator and heterogeneous shipper classes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    18. Talley, Wayne K. & Ng, ManWo, 2020. "Note: Determinants of cargo port, hinterland cargo transport and port hinterland cargo transport service chain choices by service providers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 137(C).
    19. Bing Han & Shanshan Shi & Haotian Gao & Yan Hu, 2022. "A Sustainable Intermodal Location-Routing Optimization Approach: A Case Study of the Bohai Rim Region," Sustainability, MDPI, vol. 14(7), pages 1-27, March.
    20. Theo Notteboom & Jasmine Siu Lee Lam, 2018. "The Greening of Terminal Concessions in Seaports," Sustainability, MDPI, vol. 10(9), pages 1-17, September.
    21. Archetti, Claudia & Peirano, Lorenzo & Speranza, M. Grazia, 2022. "Optimization in multimodal freight transportation problems: A Survey," European Journal of Operational Research, Elsevier, vol. 299(1), pages 1-20.

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