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Direct shipping service routes with an empty container management strategy

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  • Jeong, Yoonjea
  • Saha, Subrata
  • Chatterjee, Debajyoti
  • Moon, Ilkyeong

Abstract

This paper presents an investigation of an empty container management strategy in a two-way four-echelon container supply chain for bilateral trade between two countries. The strategy reduces high maritime transportation costs and long delivery times due to transshipment. The impact of direct shipping was investigated to determine the number of empty containers to be repositioned among selected ports, number of leased containers, and route selection to satisfy the demands for empty and laden containers for exporters and importers in two regions. A hybrid solution procedure based on accelerated particle swarm optimization and heuristic is presented, and corresponding results are compared.

Suggested Citation

  • Jeong, Yoonjea & Saha, Subrata & Chatterjee, Debajyoti & Moon, Ilkyeong, 2018. "Direct shipping service routes with an empty container management strategy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 123-142.
    • Handle: RePEc:eee:transe:v:118:y:2018:i:c:p:123-142
    DOI: 10.1016/j.tre.2018.07.009
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    Cited by:

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    2. Jingyao Song & Xin Tang & Chuanxu Wang & Changyan Xu & Junyi Wei, 2022. "Optimization of Multi-Port Empty Container Repositioning under Uncertain Environments," Sustainability, MDPI, vol. 14(20), pages 1-16, October.
    3. Ming Liu & Rongfan Liu & E Zhang & Chengbin Chu, 2022. "Eco-friendly container transshipment route scheduling problem with repacking operations," Journal of Combinatorial Optimization, Springer, vol. 43(5), pages 1010-1035, July.
    4. Lotfi Hidri & Ali Alqahtani & Achraf Gazdar & Belgacem Ben Youssef, 2021. "Green Scheduling of Identical Parallel Machines with Release Date, Delivery Time and No-Idle Machine Constraints," Sustainability, MDPI, vol. 13(16), pages 1-30, August.
    5. Alaa Abdelshafie & May Salah & Tomaž Kramberger & Dejan Dragan, 2022. "Repositioning and Optimal Re-Allocation of Empty Containers: A Review of Methods, Models, and Applications," Sustainability, MDPI, vol. 14(11), pages 1-23, May.
    6. Jeong, Yoonjea & Kim, Gwang, 2023. "Reliable design of container shipping network with foldable container facility disruption," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 169(C).
    7. Zhen, Lu & Wu, Yiwei & Wang, Shuaian & Laporte, Gilbert, 2020. "Green technology adoption for fleet deployment in a shipping network," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 388-410.
    8. Ming Liu & Rongfan Liu & E Zhang & Chengbin Chu, 0. "Eco-friendly container transshipment route scheduling problem with repacking operations," Journal of Combinatorial Optimization, Springer, vol. 0, pages 1-26.
    9. Dandan Chen & Yong Zhang & Liangpeng Gao & Russell G. Thompson, 2019. "Optimizing Multimodal Transportation Routes Considering Container Use," Sustainability, MDPI, vol. 11(19), pages 1-18, September.
    10. Amiri, Mohsen & Amin, Saman Hassanzadeh & Tavakkoli-Moghaddam, Reza, 2019. "A Lagrangean decomposition approach for a novel two-echelon node-based location-routing problem in an offshore oil and gas supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 96-114.
    11. Najafi, Mehdi & Zolfagharinia, Hossein, 2021. "Pricing and quality setting strategy in maritime transportation: Considering empty repositioning and demand uncertainty," International Journal of Production Economics, Elsevier, vol. 240(C).
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    13. Ming Liu & Zhongzheng Liu & Rongfan Liu & Lihua Sun, 2022. "Distribution-Free Approaches for an Integrated Cargo Routing and Empty Container Repositioning Problem with Repacking Operations in Liner Shipping Networks," Sustainability, MDPI, vol. 14(22), pages 1-25, November.

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