Resilience measurement and dynamic optimization of container logistics supply chain under adverse events

Xu, Baoyun; Liu, Wei-Ting; Li, Junjun; Yang, Yongsheng; Wen, Furong; Song, Hwangjun

doi:10.1016/j.cie.2023.109202

Cited by 4 publications

(2 citation statements)

References 53 publications

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“…Having studied only the Far East-Northern Europe trade route, the authors consider that the proposed practical application can improve forecasting performance for other trade routes and shipping markets and is likely to detect market and environmental-nomic changes much earlier than the actual evidence available at the time. The study also highlights the impact of the COVID-19 pandemic on freight transportation, particularly the shift in demand for trucking and the subsequent increase in energy consumption and pollution [14]. The proposed evolutionary model based on Markov theory aims to optimize the freight transportation structure post-COVID-19, taking into account the growth of the freight industry and the need for a reasonable freight volume increase each year.…”

Section: Literature Reviewmentioning

confidence: 99%

Techno-Economic Sustainability Potential of Large-Scale Systems: Forecasting Intermodal Freight Transportation Volumes

Chupin,

Morkovkin,

Bolsunovskaya

et al. 2024

Sustainability

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The sustainability of large economies is one of the most important challenges in today’s world. As the world strives to create a greener and more efficient future, it becomes necessary to accurately analyze and forecast freight volumes. By developing a reliable freight transportation forecasting model, the authors will be able to gain valuable insights into the trends and patterns that determine the development of economic systems. This will enable informed decisions on resource allocation, infrastructure development, and environmental impact mitigation. Such a model takes into account various factors such as market demand, logistical capabilities, fuel consumption, and emissions. Understanding these dynamics allows us to optimize supply chains, reduce waste, minimize our carbon footprint, and, ultimately, create more sustainable economic systems. The ability to accurately forecast freight volumes not only benefits businesses by enabling better planning and cost optimization but also contributes to the overall sustainable development goals of society. It can identify opportunities to shift to more sustainable modes of transportation, such as rail or water, and reduce dependence on carbon-intensive modes, such as road or air. In conclusion, the development and implementation of a robust freight forecasting model is critical to the sustainability of large-scale economic systems. Thus, by utilizing data and making informed decisions based on these forecasts, it is possible to work toward a more sustainable future for future generations.

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Section: Literature Reviewmentioning

confidence: 99%

Techno-Economic Sustainability Potential of Large-Scale Systems: Forecasting Intermodal Freight Transportation Volumes

Chupin,

Morkovkin,

Bolsunovskaya

et al. 2024

Sustainability

View full text Add to dashboard Cite

show abstract

“…By 2040, it will reduce emissions by at least 70%, strive to achieve the 80% emission reduction target, and promise to achieve net zero emissions by 2050 at the latest. With various environmental protection policies and emission reduction regulations, problems such as rising oil prices and fluctuating transportation capacity in container transportation have emerged one after another [11]. At the same time, the lack of technological innovation has led to the brutal growth of industry efficiency, organizational management, disorderly competition, and monopoly, which have gradually become prominent.…”

Section: Introductionmentioning

confidence: 99%

Digital Technique-Enabled Container Logistics Supply Chain Sustainability Achievement

Lyu,

Zhou,

2023

Sustainability

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With the rapid development of digital technology, the smart sensor-based container equipment and intelligent logistics operations contribute to achieving the efficiency improvement and sustainability achievement of container supply chain under the IoT-based logistics 4.0 scenarios. This paper tries to study the state-of-the-art knowledge of the container logistics supply chain management motivated by digital techniques. Through data-driven analysis this review is performed to assist researchers and practitioners to better understand the container logistics management. The integrated research framework is designed by developing a bibliometric analysis study to address the research themes of the container logistics era. The related publications from the Web of Science database from 2003 to 2022 were indexed and 2897 reference samples are collected as the research data. In addition, the VosViewer is adopted to portray the network, co-occurrence, and co-word analysis by visualizing the collaborative relationships of collected samples. The results show that digital technology has been widely applied in container logistics supply chain management practices, contributing to resilience and sustainability improvement by intelligent operations. These research findings are also helpful for researchers by providing a deep penetrating insight into research opportunities and great potentials of container logistics supply chain by innovative digital technology-enabled practices.

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Resilience quantification and recovery strategy simulation for urban underground logistics systems under node and link attacks: A case study of Nanjing city

Lu,

Wang,

Huang

et al. 2024

International Journal of Critical Infrastructure Protection

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Resilience measurement and dynamic optimization of container logistics supply chain under adverse events

Cited by 4 publications

References 53 publications

Techno-Economic Sustainability Potential of Large-Scale Systems: Forecasting Intermodal Freight Transportation Volumes

Techno-Economic Sustainability Potential of Large-Scale Systems: Forecasting Intermodal Freight Transportation Volumes

Digital Technique-Enabled Container Logistics Supply Chain Sustainability Achievement

Resilience quantification and recovery strategy simulation for urban underground logistics systems under node and link attacks: A case study of Nanjing city

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