IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i15p6310-d1441379.html
   My bibliography  Save this article

Multi-Objective Optimization of Short-Inverted Transport Scheduling Strategy Based on Road–Railway Intermodal Transport

Author

Listed:
  • Dudu Guo

    (School of Transportation Engineering, Xinjiang University, Urumqi 830017, China
    Xinjiang Key Laboratory of Green Construction and Smart Traffic Control of Transportation Infrastructure, Xinjiang University, Urumqi 830017, China)

  • Yinuo Su

    (School of Business, Xinjiang University, Urumqi 830017, China)

  • Xiaojiang Zhang

    (Xinjiang Xinte Energy Logistics Co., Urumqi 830017, China)

  • Zhen Yang

    (Xinjiang Hualing Logistics & Distribution Co., Urumqi 830017, China)

  • Pengbin Duan

    (School of Business, Xinjiang University, Urumqi 830017, China)

Abstract

This study focuses on the ‘short-inverted transportation’ scenario of intermodal transport. It proposes a vehicle unloading reservation mechanism to optimize the point-of-demand scheduling system for the inefficiency of transport due to the complexity and uncertainty of the scheduling strategy. This paper establishes a scheduling strategy optimization model to minimize the cost of short backhaul and obtain the shortest delivery time window and designs a hybrid NSGWO algorithm suitable for multi-objective optimization to solve the problem. The algorithm incorporates the Non-dominated Sorting Genetic Algorithm II (NSGA-II) algorithm based on the Grey Wolf Optimizer (GWO) algorithm, compensating for a single algorithm’s premature convergence. The experiment selects a logistics carrier’s actual road–rail intermodal short-inverted data and compares and verifies the above data. The results show that the scheduling scheme obtained by this algorithm can save 41.01% of the transport cost and shorten the total delivery time by 46.94% compared with the original scheme, which can effectively protect the enterprise’s economic benefits while achieving timely delivery. At the same time, the optimized scheduling plan resulted in a lower number of transport vehicles, which positively impacted the sustainability of green logistics.

Suggested Citation

  • Dudu Guo & Yinuo Su & Xiaojiang Zhang & Zhen Yang & Pengbin Duan, 2024. "Multi-Objective Optimization of Short-Inverted Transport Scheduling Strategy Based on Road–Railway Intermodal Transport," Sustainability, MDPI, vol. 16(15), pages 1-25, July.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:15:p:6310-:d:1441379
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/15/6310/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/15/6310/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chen, Yuanyi & Hu, Simon & Zheng, Yanchong & Xie, Shiwei & Yang, Qiang & Wang, Yubin & Hu, Qinru, 2024. "Coordinated optimization of logistics scheduling and electricity dispatch for electric logistics vehicles considering uncertain electricity prices and renewable generation," Applied Energy, Elsevier, vol. 364(C).
    2. Wang, Jinpei & Bai, Xuejie & Liu, Yankui, 2023. "Globalized robust bilevel optimization model for hazmat transport network design considering reliability," Reliability Engineering and System Safety, Elsevier, vol. 239(C).
    3. Jaehyun Choi & Jia Xuelei & WoonSeong Jeong, 2018. "Optimizing the Construction Job Site Vehicle Scheduling Problem," Sustainability, MDPI, vol. 10(5), pages 1-13, April.
    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. Boda Liu & Bin Yang & Jianzhuang Xiao & Dayu Zhu & Binghan Zhang & Zhichen Wang & Miaosi Dong, 2021. "Review of Optimization Dynamically Applied in the Construction and the Application Potential of ICT," Sustainability, MDPI, vol. 13(10), pages 1-18, May.
    2. Abdul Salam Khan & Qazi Salman Khalid & Khawar Naeem & Rafiq Ahmad & Razaullah Khan & Waqas Saleem & Catalin Iulian Pruncu, 2021. "Application of Exact and Multi-Heuristic Approaches to a Sustainable Closed Loop Supply Chain Network Design," Sustainability, MDPI, vol. 13(5), pages 1-25, 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:16:y:2024:i:15:p:6310-:d:1441379. 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.