IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i9p4635-d540679.html
   My bibliography  Save this article

Smart Steaming: A New Flexible Paradigm for Synchromodal Logistics

Author

Listed:
  • Riccardo Giusti

    (Department of Control and Computer Engineering, Politecnico di Torino, 10129 Turin, Italy)

  • Daniele Manerba

    (Department of Information Engineering, University of Brescia, 25123 Brescia, Italy)

  • Roberto Tadei

    (Department of Control and Computer Engineering, Politecnico di Torino, 10129 Turin, Italy)

Abstract

Slow steaming, i.e., the possibility to ship vessels at a significantly slower speed than their nominal one, has been widely studied and implemented to improve the sustainability of long-haul supply chains. However, to create an efficient symbiosis with the paradigm of synchromodality, an evolution of slow steaming called smart steaming is introduced. Smart steaming is about defining a medium speed execution of shipping movements and the real-time adjustment (acceleration and deceleration) of traveling speeds to pursue the entire logistic system’s overall efficiency and sustainability. For instance, congestion in handling facilities (intermodal hubs, ports, and rail stations) is often caused by the common wish to arrive as soon as possible. Therefore, smart steaming would help avoid bottlenecks, allowing better synchronization and decreasing waiting time at ports or handling facilities. This work aims to discuss the strict relationships between smart steaming and synchromodality and show the potential impact of moving from slow steaming to smart steaming in terms of sustainability and efficiency. Moreover, we will propose an analysis considering the pros, cons, opportunities, and risks of managing operations under this new policy.

Suggested Citation

  • Riccardo Giusti & Daniele Manerba & Roberto Tadei, 2021. "Smart Steaming: A New Flexible Paradigm for Synchromodal Logistics," Sustainability, MDPI, vol. 13(9), pages 1-21, April.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:9:p:4635-:d:540679
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/9/4635/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/9/4635/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jingbo Yin & Lixian Fan & Zhongzhen Yang & Kevin X. Li, 2014. "Slow steaming of liner trade: its economic and environmental impacts," Maritime Policy & Management, Taylor & Francis Journals, vol. 41(2), pages 149-158, March.
    2. Jong-Kyun Woo & Daniel Seong-Hyeok Moon, 2014. "The effects of slow steaming on the environmental performance in liner shipping," Maritime Policy & Management, Taylor & Francis Journals, vol. 41(2), pages 176-191, March.
    3. Bektas, Tolga & Laporte, Gilbert, 2011. "The Pollution-Routing Problem," Transportation Research Part B: Methodological, Elsevier, vol. 45(8), pages 1232-1250, September.
    4. Peter Shobayo & Edwin van Hassel, 2019. "Container barge congestion and handling in large seaports: a theoretical agent-based modeling approach," Journal of Shipping and Trade, Springer, vol. 4(1), pages 1-26, December.
    5. Guido Perboli & Stefano Musso & Mariangela Rosano & Roberto Tadei & Moritz Godel, 2017. "Synchro-Modality and Slow Steaming: New Business Perspectives in Freight Transportation," Sustainability, MDPI, vol. 9(10), pages 1-24, October.
    6. Harilaos N. Psaraftis & Christos A. Kontovas, 2015. "Slow Steaming in Maritime Transportation: Fundamentals, Trade-offs, and Decision Models," International Series in Operations Research & Management Science, in: Chung-Yee Lee & Qiang Meng (ed.), Handbook of Ocean Container Transport Logistics, edition 127, chapter 11, pages 315-358, Springer.
    7. Finnsgård, Christian & Kalantari, Joakim & Roso, Violeta & Woxenius, Johan, 2020. "The Shipper's perspective on slow steaming - Study of Six Swedish companies," Transport Policy, Elsevier, vol. 86(C), pages 44-49.
    8. Zeeshan Raza & Johan Woxenius & Christian Finnsgård, 2019. "Slow Steaming as Part of SECA Compliance Strategies among RoRo and RoPax Shipping Companies," Sustainability, MDPI, vol. 11(5), pages 1-19, March.
    9. Michael Maloni & Jomon Aliyas Paul & David M Gligor, 2013. "Slow steaming impacts on ocean carriers and shippers," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 15(2), pages 151-171, June.
    10. Qu, Wenhua & Rezaei, Jafar & Maknoon, Yousef & Tavasszy, Lóránt, 2019. "Hinterland freight transportation replanning model under the framework of synchromodality," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 308-328.
    11. Lixian Fan & Bingmei Gu, 2019. "Impacts of the Increasingly Strict Sulfur Limit on Compliance Option Choices: The Case Study of Chinese SECA," Sustainability, MDPI, vol. 12(1), pages 1-20, December.
    12. Easwaran Narassimhan & Kelly S. Gallagher & Stefan Koester & Julio Rivera Alejo, 2018. "Carbon pricing in practice: a review of existing emissions trading systems," Climate Policy, Taylor & Francis Journals, vol. 18(8), pages 967-991, September.
    13. Michael Ben-Chaim & Efraim Shmerling & Alon Kuperman, 2013. "Analytic Modeling of Vehicle Fuel Consumption," Energies, MDPI, vol. 6(1), pages 1-11, January.
    14. Luan Thanh Le & Gunwoo Lee & Hwayoung Kim & Su-Han Woo, 2020. "Voyage-based statistical fuel consumption models of ocean-going container ships in Korea," Maritime Policy & Management, Taylor & Francis Journals, vol. 47(3), pages 304-331, April.
    15. Pierre Jaillet & Jean-Paul Pollin, 2016. "Introduction," Revue d'économie financière, Association d'économie financière, vol. 0(3), pages 9-22.
    16. Wu, Wei-Ming, 2020. "The optimal speed in container shipping: Theory and empirical evidence," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    17. Claudio Ferrari & Francesco Parola & Alessio Tei, 2015. "Determinants of slow steaming and implications on service patterns," Maritime Policy & Management, Taylor & Francis Journals, vol. 42(7), pages 636-652, October.
    18. Luan Thanh Le & Gunwoo Lee & Keun-Sik Park & Hwayoung Kim, 2020. "Neural network-based fuel consumption estimation for container ships in Korea," Maritime Policy & Management, Taylor & Francis Journals, vol. 47(5), pages 615-632, July.
    19. Reis, Vasco, 2015. "Should we keep on renaming a +35-year-old baby?," Journal of Transport Geography, Elsevier, vol. 46(C), pages 173-179.
    20. Lee, Chung-Yee & Lee, Hau L. & Zhang, Jiheng, 2015. "The impact of slow ocean steaming on delivery reliability and fuel consumption," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 76(C), pages 176-190.
    21. 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.
    22. Baranzini, Andrea & Goldemberg, Jose & Speck, Stefan, 2000. "A future for carbon taxes," Ecological Economics, Elsevier, vol. 32(3), pages 395-412, March.
    23. Wong, Eugene Y.C. & Tai, Allen H. & Lau, Henry Y.K. & Raman, Mardjuki, 2015. "An utility-based decision support sustainability model in slow steaming maritime operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 78(C), pages 57-69.
    24. Giusti, Riccardo & Manerba, Daniele & Bruno, Giorgio & Tadei, Roberto, 2019. "Synchromodal logistics: An overview of critical success factors, enabling technologies, and open research issues," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 92-110.
    25. van Riessen, B. & Negenborn, R.R. & Dekker, R. & Lodewijks, G., 2013. "Service network design for an intermodal container network with flexible due dates/times and the possibility of using subcontracted transport," Econometric Institute Research Papers EI2013-17, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    26. Notteboom, Theo E. & Vernimmen, Bert, 2009. "The effect of high fuel costs on liner service configuration in container shipping," Journal of Transport Geography, Elsevier, vol. 17(5), pages 325-337.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sakti, Sekar & Zhang, Lele & Thompson, Russell G., 2023. "Synchronization in synchromodality," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    2. Johannes Rentschler & Ralf Elbert & Felix Weber, 2022. "Promoting Sustainability through Synchromodal Transportation: A Systematic Literature Review and Future Fields of Research," Sustainability, MDPI, vol. 14(20), pages 1-22, October.
    3. Agnieszka Deja & Tygran Dzhuguryan & Lyudmyla Dzhuguryan & Oleg Konradi & Robert Ulewicz, 2021. "Smart Sustainable City Manufacturing and Logistics: A Framework for City Logistics Node 4.0 Operations," Energies, MDPI, vol. 14(24), pages 1-21, December.

    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. Wu, Wei-Ming, 2020. "The optimal speed in container shipping: Theory and empirical evidence," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    2. Johannes Rentschler & Ralf Elbert & Felix Weber, 2022. "Promoting Sustainability through Synchromodal Transportation: A Systematic Literature Review and Future Fields of Research," Sustainability, MDPI, vol. 14(20), pages 1-22, October.
    3. Giusti, Riccardo & Manerba, Daniele & Bruno, Giorgio & Tadei, Roberto, 2019. "Synchromodal logistics: An overview of critical success factors, enabling technologies, and open research issues," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 92-110.
    4. Seyedvahid Vakili & Fabio Ballini & Alessandro Schönborn & Anastasia Christodoulou & Dimitrios Dalaklis & Aykut I. Ölçer, 2023. "Assessing the macroeconomic and social impacts of slow steaming in shipping: a literature review on small island developing states and least developed countries," Journal of Shipping and Trade, Springer, vol. 8(1), pages 1-25, December.
    5. Mallidis, Ioannis & Iakovou, Eleftherios & Dekker, Rommert & Vlachos, Dimitrios, 2018. "The impact of slow steaming on the carriers’ and shippers’ costs: The case of a global logistics network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 111(C), pages 18-39.
    6. Sakti, Sekar & Zhang, Lele & Thompson, Russell G., 2023. "Synchronization in synchromodality," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    7. 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.
    8. Peter Andersson & Pernilla Ivehammar, 2017. "Dynamic route planning in the Baltic Sea Region – A cost-benefit analysis based on AIS data," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 19(4), pages 631-649, December.
    9. Beatriz Acero & Maria Jesus Saenz & Davide Luzzini, 2022. "Introducing synchromodality: One missing link between transportation and supply chain management," Journal of Supply Chain Management, Institute for Supply Management, vol. 58(1), pages 51-64, January.
    10. Maxim A. Dulebenets & Junayed Pasha & Olumide F. Abioye & Masoud Kavoosi, 2021. "Vessel scheduling in liner shipping: a critical literature review and future research needs," Flexible Services and Manufacturing Journal, Springer, vol. 33(1), pages 43-106, March.
    11. 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.
    12. Dai, Wayne Lei & Fu, Xiaowen & Yip, Tsz Leung & Hu, Hao & Wang, Kun, 2018. "Emission charge and liner shipping network configuration – An economic investigation of the Asia-Europe route," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 291-305.
    13. Yan, Ran & Wang, Shuaian & Psaraftis, Harilaos N., 2021. "Data analytics for fuel consumption management in maritime transportation: Status and perspectives," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
    14. Peng, Wenhao & Bai, Xiwen, 2022. "Prospects for improving shipping companies’ profit margins by quantifying operational strategies and market focus approach through AIS data," Transport Policy, Elsevier, vol. 128(C), pages 138-152.
    15. Yavas, Volkan & Ozkan-Ozen, Yesim Deniz, 2020. "Logistics centers in the new industrial era: A proposed framework for logistics center 4.0," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 135(C).
    16. Finnsgård, Christian & Kalantari, Joakim & Roso, Violeta & Woxenius, Johan, 2020. "The Shipper's perspective on slow steaming - Study of Six Swedish companies," Transport Policy, Elsevier, vol. 86(C), pages 44-49.
    17. Patrizia Serra & Gianfranco Fancello, 2020. "Towards the IMO’s GHG Goals: A Critical Overview of the Perspectives and Challenges of the Main Options for Decarbonizing International Shipping," Sustainability, MDPI, vol. 12(8), pages 1-32, April.
    18. Dan Zhuge & Shuaian Wang & Lu Zhen & Gilbert Laporte, 2021. "Subsidy design in a vessel speed reduction incentive program under government policies," Naval Research Logistics (NRL), John Wiley & Sons, vol. 68(3), pages 344-358, April.
    19. Zhang, Abraham & Zheng, Zhichao & Teo, Chung-Piaw, 2022. "Schedule reliability in liner shipping timetable design: A convex programming approach," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 499-525.
    20. He, Qie & Zhang, Xiaochen & Nip, Kameng, 2017. "Speed optimization over a path with heterogeneous arc costs," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 198-214.

    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:13:y:2021:i:9:p:4635-:d:540679. 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.