IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i6p2221-d331805.html
   My bibliography  Save this article

Joint Optimization of Routes and Container Fleets to Design Sustainable Intermodal Chains in Chile

Author

Listed:
  • Alba Martínez-López

    (Department of Mechanical Engineering, University of Las Palmas de Gran Canaria, 35017 Las Palmas, Spain)

  • Manuel Chica

    (Department of Mechanical Engineering, University of Las Palmas de Gran Canaria, 35017 Las Palmas, Spain)

Abstract

This paper introduces a decision support tool for sustainable intermodal chains with seaborne transport, in which the optimization of a multi-objective model enables conflicting objectives to be handled simultaneously. Through the assessment of ‘door-to-door’ transport in terms of costs, time, and environmental impact, the most suitable maritime route and the optimized fleet are jointly calculated to maximize the opportunities for success of intermodal chains versus trucking. The resolution of the model through NSGA-II algorithms permits to obtain Pareto fronts that offer groups of optimized solutions. This is not only useful to make decisions in the short term, but also to establish long-term strategies through assessment of the frontiers’ behavior obtained when a sensitivity analysis is undertaken. Thus, consequences of transport policies on intermodal performance can be analyzed. A real-life case is studied to test the usefulness of the model. From the application case, not only the most suitable Motorway of the Seas with their optimized fleets are identified for Chile, but also significant general findings are provided for both policy makers and heads of ports to promote the intermodal option regardless of their geographical locations.

Suggested Citation

  • Alba Martínez-López & Manuel Chica, 2020. "Joint Optimization of Routes and Container Fleets to Design Sustainable Intermodal Chains in Chile," Sustainability, MDPI, vol. 12(6), pages 1-23, March.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:6:p:2221-:d:331805
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/6/2221/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/6/2221/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chandra, Saurabh & Christiansen, Marielle & Fagerholt, Kjetil, 2016. "Combined fleet deployment and inventory management in roll-on/roll-off shipping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 92(C), pages 43-55.
    2. Ancor Suárez-Alemán & Lourdes Trujillo & Francesca Medda, 2015. "Short sea shipping as intermodal competitor: a theoretical analysis of European transport policies," Maritime Policy & Management, Taylor & Francis Journals, vol. 42(4), pages 317-334, May.
    3. Chen, Gang & Govindan, Kannan & Golias, Mihalis M., 2013. "Reducing truck emissions at container terminals in a low carbon economy: Proposal of a queueing-based bi-objective model for optimizing truck arrival pattern," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 55(C), pages 3-22.
    4. Houming Fan & Jiaqi Yu & Xinzhe Liu, 2019. "Tramp Ship Routing and Scheduling with Speed Optimization Considering Carbon Emissions," Sustainability, MDPI, vol. 11(22), pages 1-19, November.
    5. Puckett, Sean M. & Hensher, David A. & Brooks, Mary R. & Trifts, Valerie, 2011. "Preferences for alternative short sea shipping opportunities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(2), pages 182-189, March.
    6. Reis, Vasco, 2014. "Analysis of mode choice variables in short-distance intermodal freight transport using an agent-based model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 100-120.
    7. Harald M. Hjelle & Erik Fridell, 2012. "When is Short Sea Shipping Environmentally Competitive?," Chapters, in: Jacques Oosthuizen (ed.), Environmental Health - Emerging Issues and Practice, IntechOpen.
    8. Wang, Shuaian & Meng, Qiang, 2012. "Sailing speed optimization for container ships in a liner shipping network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(3), pages 701-714.
    9. Mary R. Brooks * & James D. Frost, 2004. "Short sea shipping: a Canadian perspective," Maritime Policy & Management, Taylor & Francis Journals, vol. 31(4), pages 393-407, October.
    10. Bastiaan Possel & Luc J. J. Wismans & Eric C. Berkum & Michiel C. J. Bliemer, 2018. "The multi-objective network design problem using minimizing externalities as objectives: comparison of a genetic algorithm and simulated annealing framework," Transportation, Springer, vol. 45(2), pages 545-572, March.
    11. Christian Va Karsten & Stefan Ropke & David Pisinger, 2018. "Simultaneous Optimization of Container Ship Sailing Speed and Container Routing with Transit Time Restrictions," Transportation Science, INFORMS, vol. 52(4), pages 769-787, August.
    12. Lupi, Marino & Farina, Alessandro & Orsi, Denise & Pratelli, Antonio, 2017. "The capability of Motorways of the Sea of being competitive against road transport. The case of the Italian mainland and Sicily," Journal of Transport Geography, Elsevier, vol. 58(C), pages 9-21.
    13. Dražen Žgaljić & Edvard Tijan & Alen Jugović & Tanja Poletan Jugović, 2019. "Implementation of Sustainable Motorways of the Sea Services Multi-Criteria Analysis of a Croatian Port System," Sustainability, MDPI, vol. 11(23), pages 1-21, December.
    14. 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.
    15. Harald M. Hjelle, 2014. "Atmospheric Emissions of Short Sea Shipping Compared to Road Transport Through the Peaks and Troughs of Short-Term Market Cycles," Transport Reviews, Taylor & Francis Journals, vol. 34(3), pages 379-395, May.
    16. Asgari, Nasrin & Farahani, Reza Zanjirani & Goh, Mark, 2013. "Network design approach for hub ports-shipping companies competition and cooperation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 48(C), pages 1-18.
    17. 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.
    18. Mansouri, S. Afshin & Lee, Habin & Aluko, Oluwakayode, 2015. "Multi-objective decision support to enhance environmental sustainability in maritime shipping: A review and future directions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 78(C), pages 3-18.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liqian Yang & Gang Chen & Jinlou Zhao & Niels Gorm Malý Rytter, 2020. "Ship Speed Optimization Considering Ocean Currents to Enhance Environmental Sustainability in Maritime Shipping," Sustainability, MDPI, vol. 12(9), pages 1-24, May.
    2. Yuzhe Zhao & Yujun Fan & Jingmiao Zhou & Haibo Kuang, 2019. "Bi-Objective Optimization of Vessel Speed and Route for Sustainable Coastal Shipping under the Regulations of Emission Control Areas," Sustainability, MDPI, vol. 11(22), pages 1-24, November.
    3. T. A. Santos & G. Lopes Santos & P. Martins & C. Guedes Soares, 2022. "A methodology for short-sea-shipping service design within intermodal transport chains," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 24(1), pages 138-167, March.
    4. Lee, Chung-Yee & Song, Dong-Ping, 2017. "Ocean container transport in global supply chains: Overview and research opportunities," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 442-474.
    5. Xiangang Lan & Xiaode Zuo & Qin Tao, 2023. "Container Shipping Optimization under Different Carbon Emission Policies: A Case Study," Sustainability, MDPI, vol. 15(10), pages 1-20, May.
    6. Wang, Shuaian & Qu, Xiaobo & Yang, Ying, 2015. "Estimation of the perceived value of transit time for containerized cargoes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 298-308.
    7. Michalis P. Michaelides & Herodotos Herodotou & Mikael Lind & Richard T. Watson, 2019. "Port-2-Port Communication Enhancing Short Sea Shipping Performance: The Case Study of Cyprus and the Eastern Mediterranean," Sustainability, MDPI, vol. 11(7), pages 1-22, March.
    8. Caldeira dos Santos, Murillo & Pereira, Fábio Henrique, 2021. "Development and application of a dynamic model for road port access and its impacts on port-city relationship indicators," Journal of Transport Geography, Elsevier, vol. 96(C).
    9. Abisai Konstantinus & Mark Zuidgeest & Anastasia Christodoulou & Zeeshan Raza & Johan Woxenius, 2019. "Barriers and Enablers for Short Sea Shipping in the Southern African Development Community," Sustainability, MDPI, vol. 11(6), pages 1-16, March.
    10. Yu, Ming-Miin & Chen, Li-Hsueh, 2016. "Centralized resource allocation with emission resistance in a two-stage production system: Evidence from a Taiwan’s container shipping company," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 650-671.
    11. Aydin, N. & Lee, H. & Mansouri, S.A., 2017. "Speed optimization and bunkering in liner shipping in the presence of uncertain service times and time windows at ports," European Journal of Operational Research, Elsevier, vol. 259(1), pages 143-154.
    12. Heilig, Leonard & Lalla-Ruiz, Eduardo & Voß, Stefan, 2017. "Multi-objective inter-terminal truck routing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 178-202.
    13. Hongming Li & Xintao Li, 2022. "A Branch-and-Bound Algorithm for the Bi-Objective Quay Crane Scheduling Problem Based on Efficiency and Energy," Mathematics, MDPI, vol. 10(24), pages 1-20, December.
    14. Wang, Yadong & Gu, Yuyun & Wang, Tingsong & Zhang, Jun, 2022. "A risk-averse approach for joint contract selection and slot allocation in liner container shipping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    15. Wang, Tingsong & Cheng, Peiyue & Zhen, Lu, 2023. "Green development of the maritime industry: Overview, perspectives, and future research opportunities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    16. Zheng, Wei & Li, Bo & Song, Dongping, 2022. "The optimal green strategies for competitive ocean carriers under potential regulation," European Journal of Operational Research, Elsevier, vol. 303(2), pages 840-856.
    17. Wang, Shuaian & Wang, Xinchang, 2016. "A polynomial-time algorithm for sailing speed optimization with containership resource sharing," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 394-405.
    18. Tiago A. Santos & C. Guedes Soares, 2017. "Methodology for ro-ro ship and fleet sizing with application to short sea shipping," Maritime Policy & Management, Taylor & Francis Journals, vol. 44(7), pages 859-881, October.
    19. Koza, David Franz, 2019. "Liner shipping service scheduling and cargo allocation," European Journal of Operational Research, Elsevier, vol. 275(3), pages 897-915.
    20. Ali Cheaitou & Pierre Cariou, 2019. "Greening of maritime transportation: a multi-objective optimization approach," Annals of Operations Research, Springer, vol. 273(1), pages 501-525, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:12:y:2020:i:6:p:2221-:d:331805. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.