IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i14p8548-d861376.html
   My bibliography  Save this article

Dynamic Smart Numbering of Modular Cargo Containers

Author

Listed:
  • Saša Aksentijević

    (Aksentijević Forensics and Consulting, Ltd., 51216 Viškovo, Croatia)

  • Edvard Tijan

    (Faculty of Maritime Studies, University of Rijeka, 51000 Rijeka, Croatia)

  • Nexhat Kapidani

    (Administration for Maritime Safety and Port Management, 85000 Bar, Montenegro)

  • Dražen Žgaljić

    (Faculty of Maritime Studies, University of Rijeka, 51000 Rijeka, Croatia)

Abstract

In this paper, the authors identify the existence of container imbalance that occurs in different types of ports, depending on the type of inbound and outbound cargo they serve. The authors further analyze international trade realities and maritime companies’ requirements and identified inefficiencies. A comprehensive review of the relevant container regulations and identification standards is performed. Based on their findings, a paradigm change is proposed in the form of a modular container solution that uses disruptive digital technologies to ensure dynamic container identification (numbering) that can be exploited to overcome such inefficiencies. The technical requirements for coupling and decoupling operations are identified, along with detailed analysis of the requirements for embedded electronic components. Considering the strict container data exchange rules, the required changes in global container tracking systems are identified and explained. Coupling, decoupling, and serial number assignment procedures are proposed along with analysis of the measured lead times. Modularization and dynamic smart numbering are identified as viable disruptive technologies to address the global container imbalance. The authors contribute to the existing research on maritime transport sustainability by proposing a modular container solution, exploiting disruptive digital technologies, and clearly defining the prerequisites for the global introduction of the solution as a part of the digital transformation portfolio of involved stakeholders managing global container movements.

Suggested Citation

  • Saša Aksentijević & Edvard Tijan & Nexhat Kapidani & Dražen Žgaljić, 2022. "Dynamic Smart Numbering of Modular Cargo Containers," Sustainability, MDPI, vol. 14(14), pages 1-24, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:14:p:8548-:d:861376
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/14/8548/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/14/8548/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Wang, Yadong & Wang, Shuaian, 2021. "Deploying, scheduling, and sequencing heterogeneous vessels in a liner container shipping route," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 151(C).
    3. Tijan, Edvard & Jović, Marija & Aksentijević, Saša & Pucihar, Andreja, 2021. "Digital transformation in the maritime transport sector," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    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. Yiwei Wu & Hongyu Zhang & Fei Li & Shuaian Wang & Lu Zhen, 2023. "Optimal Selection of Multi-Fuel Engines for Ships Considering Fuel Price Uncertainty," Mathematics, MDPI, vol. 11(17), pages 1-14, August.
    2. Mendez-Picazo, María-Teresa & Galindo-Martin, Miguel-Angel & Perez-Pujol, Rafael-Sergio, 2024. "Direct and indirect effects of digital transformation on sustainable development in pre- and post-pandemic periods," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    3. Marija Jović & Edvard Tijan & Doroteja Vidmar & Andreja Pucihar, 2022. "Factors of Digital Transformation in the Maritime Transport Sector," Sustainability, MDPI, vol. 14(15), pages 1-18, August.
    4. Domenico Gattuso & Domenica Savia Pellicanò, 2023. "HUs Fleet Management in an Automated Container Port: Assessment by a Simulation Approach," Sustainability, MDPI, vol. 15(14), pages 1-19, July.
    5. Jianying Xiao & Lixin Han & Hui Zhang, 2022. "Exploring Driving Factors of Digital Transformation among Local Governments: Foundations for Smart City Construction in China," Sustainability, MDPI, vol. 14(22), pages 1-16, November.
    6. Costa Climent, Ricardo & Haftor, Darek M., 2021. "Business model theory-based prediction of digital technology use: An empirical assessment," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    7. 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.
    8. Dalila B. M. M. Fontes & S. Mahdi Homayouni, 2023. "A bi-objective multi-population biased random key genetic algorithm for joint scheduling quay cranes and speed adjustable vehicles in container terminals," Flexible Services and Manufacturing Journal, Springer, vol. 35(1), pages 241-268, March.
    9. Namgung, Hyewon & Fujiwara, Akimasa & Yamamoto, Jenny & Zhang, Junyi, 2023. "Small and medium-sized taxi firm operators' stated choices of future business models: A case study in Japan based on hybrid choice model with panel effects," Research in Transportation Economics, Elsevier, vol. 101(C).
    10. Benjamin Mosses Sakita & Berit Irene Helgheim & Svein Bråthen, 2024. "The Principal-Agent Theoretical Ramifications on Digital Transformation of Ports in Emerging Economies," Logistics, MDPI, vol. 8(2), pages 1-39, May.
    11. Fernandez-Vidal, Jorge & Gonzalez, Reyes & Gasco, Jose & Llopis, Juan, 2022. "Digitalization and corporate transformation: The case of European oil & gas firms," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    12. Surucu-Balci, Ebru & Iris, Çağatay & Balci, Gökcay, 2024. "Digital information in maritime supply chains with blockchain and cloud platforms: Supply chain capabilities, barriers, and research opportunities," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    13. Francesca Culasso & Elisa Giacosa & Daniele Giordino & Edoardo Crocco, 2022. "Digital transformation: Is Covid-19 a catalyst for micro and small enterprises first steps toward innovation?," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2022(2 Suppl.), pages 71-94.
    14. Zhang, Yue & Feng, Qiang & Fan, Dongming & Ren, Yi & Sun, Bo & Yang, Dezhen & Wang, Zili, 2023. "Optimization of maritime support network with relays under uncertainty: A novel matheuristics method," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
    15. Yu, Jingjing & Tang, Guolei & Song, Xiangqun, 2022. "Collaboration of vessel speed optimization with berth allocation and quay crane assignment considering vessel service differentiation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    16. Ksciuk, Jana & Kuhlemann, Stefan & Tierney, Kevin & Koberstein, Achim, 2023. "Uncertainty in maritime ship routing and scheduling: A Literature review," European Journal of Operational Research, Elsevier, vol. 308(2), pages 499-524.
    17. Yui-Yip Lau & Tsz-Leung Yip & Maxim A. Dulebenets & Yuk-Ming Tang & Tomoya Kawasaki, 2022. "A Review of Historical Changes of Tropical and Extra-Tropical Cyclones: A Comparative Analysis of the United States, Europe, and Asia," IJERPH, MDPI, vol. 19(8), pages 1-19, April.
    18. Zhou, Shengjia & Wang, Junhao & Xu, Bing, 2022. "Innovative coupling and coordination: Automobile and digital industries," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    19. Kumar, Anil & Agrawal, Rohit & Wankhede, Vishal A & Sharma, Manu & Mulat-weldemeskel, Eyob, 2022. "A framework for assessing social acceptability of industry 4.0 technologies for the development of digital manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    20. Dongping Song, 2021. "A Literature Review, Container Shipping Supply Chain: Planning Problems and Research Opportunities," Logistics, MDPI, vol. 5(2), pages 1-26, June.

    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:14:y:2022:i:14:p:8548-:d:861376. 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.