IDEAS home Printed from https://ideas.repec.org/a/gam/jlogis/v8y2024i4p101-d1495702.html
   My bibliography  Save this article

Exploring More Sustainable Offshore Logistics Scenarios Using Shared Resources: A Multi-Stakeholder Perspective

Author

Listed:
  • Idriss El-Thalji

    (Department of Mechanical and Structural Engineering and Materials Science, University of Stavanger, 4021 Stavanger, Norway)

Abstract

Offshore logistics has a substantial economic impact in the regions where offshore activities are prevalent, and has a huge opportunity to utilize the shared and collaborative logistics approach. The collaborative and shared logistics approach usually has economic, social, and environmental impacts on several stakeholders within the entire business model. Therefore, the purpose of this paper is to explore and compare the benefits and implications of both separate and shared logistics approaches, from multi-stakeholder perspectives. A case asset is purposefully selected where two offshore installations are located near each other, and have the potential to collaborate and share logistics resources. Three scenarios are studied using a simulation modelling approach: (1) separate logistics vessels, (2) on-demand shared logistics vessels, and (3) scheduled shared logistics vessels. The simulated results show that the shared logistics concept, in this specific case, led to an enhancement in the delivery frequency, number of deliveries, and CO 2 emissions. In addition, it provides options either to enhance vessel utilization or create revenue-generating time intervals. The scheduled shared logistics scenario is more sustainable and has a higher probability of being accepted by stakeholders, as it is driven by a revenue-generating mindset.

Suggested Citation

  • Idriss El-Thalji, 2024. "Exploring More Sustainable Offshore Logistics Scenarios Using Shared Resources: A Multi-Stakeholder Perspective," Logistics, MDPI, vol. 8(4), pages 1-15, October.
    • Handle: RePEc:gam:jlogis:v:8:y:2024:i:4:p:101-:d:1495702
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2305-6290/8/4/101/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2305-6290/8/4/101/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ziyu Chen & Jili Kong, 2023. "Research on Shared Logistics Decision Based on Evolutionary Game and Income Distribution," Sustainability, MDPI, vol. 15(11), pages 1-24, May.
    2. Peter Shobayo & Edwin van Hassel & Thierry Vanelslander, 2023. "Logistical Assessment of Deep-Sea Polymetallic Nodules Transport from an Offshore to an Onshore Location Using a Multiobjective Optimization Approach," Sustainability, MDPI, vol. 15(14), pages 1-23, July.
    3. Chenhao Zhou & Ning Ma & Xinhu Cao & Loo Hay Lee & Ek Peng Chew, 2021. "Classification and literature review on the integration of simulation and optimization in maritime logistics studies," IISE Transactions, Taylor & Francis Journals, vol. 53(10), pages 1157-1176, October.
    4. Melo, Sandra & Macedo, Joaquim & Baptista, Patrícia, 2019. "Capacity-sharing in logistics solutions: A new pathway towards sustainability," Transport Policy, Elsevier, vol. 73(C), pages 143-151.
    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. Daozhi Zhao & Jiaqin Hao & Cejun Cao & Hongshuai Han, 2019. "Evolutionary Game Analysis of Three-Player for Low-Carbon Production Capacity Sharing," Sustainability, MDPI, vol. 11(11), pages 1-20, May.
    2. Dan Wang & Liang Yan & Fangli Ruan, 2022. "A Combined IO-DEMATEL Analysis for Evaluating Sustainable Effects of the Sharing Related Industries Development," Sustainability, MDPI, vol. 14(9), pages 1-23, May.
    3. Rui Ren & Wanjie Hu & Jianjun Dong & Bo Sun & Yicun Chen & Zhilong Chen, 2019. "A Systematic Literature Review of Green and Sustainable Logistics: Bibliometric Analysis, Research Trend and Knowledge Taxonomy," IJERPH, MDPI, vol. 17(1), pages 1-25, December.
    4. Vinicius Luiz Ferraz Minatogawa & Matheus Munhoz Vieira Franco & Izabela Simon Rampasso & Rosley Anholon & Ruy Quadros & Orlando Durán & Antonio Batocchio, 2019. "Operationalizing Business Model Innovation through Big Data Analytics for Sustainable Organizations," Sustainability, MDPI, vol. 12(1), pages 1-29, December.
    5. Jagienka Rześny-Cieplińska & Agnieszka Szmelter-Jarosz, 2021. "Stakeholders’ Analysis of Environmental Sustainability in Urban Logistics: A Case Study of Tricity, Poland," Energies, MDPI, vol. 14(5), pages 1-24, February.
    6. Marcin Wołek & Agnieszka Szmelter-Jarosz & Marcin Koniak & Anna Golejewska, 2020. "Transformation of Trolleybus Transport in Poland. Does In-Motion Charging (Technology) Matter?," Sustainability, MDPI, vol. 12(22), pages 1-25, November.
    7. Daozhi Zhao & Yang Xue & Cejun Cao & Hongshuai Han, 2019. "Channel Selection and Pricing Decisions Considering Three Charging Modes of Production Capacity Sharing Platform: A Sustainable Operations Perspective," Sustainability, MDPI, vol. 11(21), pages 1-28, October.
    8. Ling Cao & Jie Yin, 2023. "Research on Sharing Behavior Strategy of Cultural Heritage Institutions Based on Evolutionary Game Theory," Sustainability, MDPI, vol. 15(13), pages 1-23, June.
    9. Yang, Miying & Fu, Mingtao & Zhang, Zihan, 2021. "The adoption of digital technologies in supply chains: Drivers, process and impact," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    10. Gregorio Rius-Sorolla & Julien Maheut & Sofia Estelles-Miguel & Jose P. Garcia-Sabater, 2021. "Collaborative Distributed Planning with Asymmetric Information. A Technological Driver for Sustainable Development," Sustainability, MDPI, vol. 13(12), pages 1-23, June.
    11. Liu, Shuai & Hua, Guowei & Cheng, T.C.E. & Dong, Jingxin, 2021. "Unmanned vehicle distribution capacity sharing with demand surge under option contracts," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    12. Agnieszka Szmelter-Jarosz & Jagienka Rześny-Cieplińska & Andrzej Jezierski, 2020. "Assessing Resources Management for Sharing Economy in Urban Logistics," Resources, MDPI, vol. 9(9), pages 1-30, September.
    13. Jo, Young & Kim, Jungin & Oh, Cheol & Kim, Ikki & Lee, Gunwoo, 2019. "Benefits of travel time savings by truck platooning in Korean freeway networks," Transport Policy, Elsevier, vol. 83(C), pages 37-45.
    14. Xu, Su Xiu & Guo, Ren-Yong & Zhai, Yue & Feng, Jianghong & Ning, Yu, 2024. "Toward a positive compensation policy for rail transport via mechanism design: The case of China Railway Express," Transport Policy, Elsevier, vol. 146(C), pages 322-342.

    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:jlogis:v:8:y:2024:i:4:p:101-:d:1495702. 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.