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Vehicle Routing and Scheduling Optimization of Ship Steel Distribution Center under Green Shipbuilding Mode

Author

Listed:
  • Jinghua Li

    (College of Shipbuilding Engineering, Harbin Engineering University, Harbin 150001, China)

  • Hui Guo

    (College of Shipbuilding Engineering, Harbin Engineering University, Harbin 150001, China)

  • Qinghua Zhou

    (School of Economics and Management, Harbin Engineering University, Harbin 150001, China)

  • Boxin Yang

    (School of Economics and Management, Harbin Engineering University, Harbin 150001, China)

Abstract

Timeliness of steel distribution centers can effectively ensure the smooth progress of ship construction, but the carbon emissions of vehicles in the distribution process are also a major source of pollution. Therefore, when considering the common cost of vehicle distribution, taking the carbon emissions of vehicles into account, this paper establishes a Mixed Integer Linear Programming (MILP) model called green vehicle routing and scheduling problem with simultaneous pickups and deliveries and time windows (GVRSP-SPDTW). An intelligent water drop algorithm is designed and improved, and compared with the genetic algorithm and traditional intelligent water drop algorithm. The applicability of the improved intelligent water drop algorithm is proven. Finally, it is applied to a specific example to prove that the improved intelligent water drop algorithm can effectively reduce the cost of such problems, thereby reducing the carbon emissions of vehicles in the distribution process, achieving the goals of reducing environmental pollution and green shipbuilding.

Suggested Citation

  • Jinghua Li & Hui Guo & Qinghua Zhou & Boxin Yang, 2019. "Vehicle Routing and Scheduling Optimization of Ship Steel Distribution Center under Green Shipbuilding Mode," Sustainability, MDPI, vol. 11(15), pages 1-20, August.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:15:p:4248-:d:255197
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    References listed on IDEAS

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    Cited by:

    1. Bo Peng & Lifan Wu & Yuxin Yi & Xiding Chen, 2020. "Solving the Multi-Depot Green Vehicle Routing Problem by a Hybrid Evolutionary Algorithm," Sustainability, MDPI, vol. 12(5), pages 1-19, March.
    2. Yinggui Zhang & Lining Sheng, 2023. "Optimization of Simultaneous Pickup and Delivery Vehicle Routing with Three-Dimensional Balanced Loading Constraints," Sustainability, MDPI, vol. 15(11), pages 1-20, June.
    3. Shih-Hsin Chen & Yeong-Cheng Liou & Yi-Hui Chen & Kun-Ching Wang, 2019. "Order Acceptance and Scheduling Problem with Carbon Emission Reduction and Electricity Tariffs on a Single Machine," Sustainability, MDPI, vol. 11(19), pages 1-16, September.
    4. Zhiqiang Liu & Weidong Wang & Junyi He & Jianjun Zhang & Jing Wang & Shasha Li & Yining Sun & Xianyang Ren, 2023. "A New Hybrid Algorithm for Vehicle Routing Optimization," Sustainability, MDPI, vol. 15(14), pages 1-15, July.

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