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An intermodal multicommodity routing problem with scheduled services

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  • Burak Ayar
  • Hande Yaman

Abstract

We study a multicommodity routing problem faced by an intermodal service operator that uses ground and maritime transportation. Given a planning horizon, a set of commodities to be picked up at their release times and to be delivered not later than their duedates, the problem is to decide on routes for these commodities using trucks and scheduled and capacitated maritime services at minimum cost of transportation and stocking at the seaports. Two mixed integer programming formulations and valid inequalities are proposed for this problem. The results of a computational study to evaluate the strength of the linear programming relaxations and the solution times are reported. Copyright Springer Science+Business Media, LLC 2012

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  • Burak Ayar & Hande Yaman, 2012. "An intermodal multicommodity routing problem with scheduled services," Computational Optimization and Applications, Springer, vol. 53(1), pages 131-153, September.
    • Handle: RePEc:spr:coopap:v:53:y:2012:i:1:p:131-153
    DOI: 10.1007/s10589-011-9409-z
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    3. Junseung Kim & Kyungku Kim & Kum Fai Yuen & Keun-Sik Park, 2020. "Cost and Scenario Analysis of Intermodal Transportation Routes from Korea to the USA: After the Panama Canal Expansion," Sustainability, MDPI, vol. 12(16), pages 1-20, August.
    4. Yan Sun & Martin Hrušovský & Chen Zhang & Maoxiang Lang, 2018. "A Time-Dependent Fuzzy Programming Approach for the Green Multimodal Routing Problem with Rail Service Capacity Uncertainty and Road Traffic Congestion," Complexity, Hindawi, vol. 2018, pages 1-22, June.
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    6. Dong, Bo & Christiansen, Marielle & Fagerholt, Kjetil & Chandra, Saurabh, 2020. "Design of a sustainable maritime multi-modal distribution network – Case study from automotive logistics," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 143(C).
    7. 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.
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    10. Akgün, İbrahim & Özkil, Altan & Gören, Selçuk, 2020. "A multimodal, multicommodity, and multiperiod planning problem for coal distribution to poor families," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    11. Meng, Qiang & Hei, Xiuling & Wang, Shuaian & Mao, Haijun, 2015. "Carrying capacity procurement of rail and shipping services for automobile delivery with uncertain demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 82(C), pages 38-54.
    12. Gohari, Adel & Ahmad, Anuar Bin & Balasbaneh, Ali Tighnavard & Gohari, Ali & Hasan, Razi & Sholagberu, Abdulkadir Taofeeq, 2022. "Significance of intermodal freight modal choice criteria: MCDM-based decision support models and SP-based modal shift policies," Transport Policy, Elsevier, vol. 121(C), pages 46-60.
    13. Nathathai Krebs, 2019. "Optimal Route in International Transportation of Thailand � Guangxi (China)," GATR Journals gjbssr527, Global Academy of Training and Research (GATR) Enterprise.
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    15. Khodakaram Salimifard & Sara Bigharaz, 2022. "The multicommodity network flow problem: state of the art classification, applications, and solution methods," Operational Research, Springer, vol. 22(1), pages 1-47, March.
    16. Yan Sun & Xinya Li, 2019. "Fuzzy Programming Approaches for Modeling a Customer-Centred Freight Routing Problem in the Road-Rail Intermodal Hub-and-Spoke Network with Fuzzy Soft Time Windows and Multiple Sources of Time Uncerta," Mathematics, MDPI, vol. 7(8), pages 1-40, August.
    17. 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.
    18. SteadieSeifi, M. & Dellaert, N.P. & Nuijten, W. & Van Woensel, T. & Raoufi, R., 2014. "Multimodal freight transportation planning: A literature review," European Journal of Operational Research, Elsevier, vol. 233(1), pages 1-15.

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