Role of Green Logistics in the Construction of Sustainable Supply Chains

Pham, Nguyen Dang Khoa; Dinh, Gia Huy; Pham, Hoang Thai; Kozak, Janusz; Nguyen, Hoang Phuong

doi:10.2478/pomr-2023-0052

Cited by 7 publications

(4 citation statements)

References 193 publications

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“…Logistics become more difficult during the handling, palletising, and transporting of custom or limited-edition products [136]. The occurrence of eventualities modifies the demand for specific products quickly and calls for adjustments to the warehouse floor plan.…”

Section: Policy Implication For Logistics Centre Developmentmentioning

confidence: 99%

Strategies for Developing Logistics Centres: Technological Trends and Policy Implications

Nguyen,

Yeon,

Rudzki

et al. 2023

Polish Maritime Research

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Logistics centres are currently performing a key function in the development of countries through their ability to regulate goods, markets, and transport. This is shown by the infrastructure, cost, goods flow, and quality of logistical services provided by these centres. Nevertheless, in developing nations or regions with antiquated logistics infrastructure, conventional logistics centres seem to struggle to manage the volume of commodities passing through them, resulting in persistent congestion and an unsteady flow of goods inside these facilities. This issue poses a challenge to the progress of any nation. The emergence of new technology offers a potential avenue to solve the problems inherent in traditional logistics centres. Most prominently, four technologies (the Internet of Things (IoT), Blockchain, Big Data and Cloud computing) are widely applied in traditional logistics centres. This work has conducted a thorough analysis and evaluation of these new technologies in relation to their respective functions and roles inside a logistics centre. Furthermore, this work proposes difficulties in applying new technologies to logistics centres related to issues such as science, energy, cost, or staff qualifications. Finally, future development directions, related to expanding policies in technological applications, or combining each country’s policies for the logistics industry, are carefully discussed.

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Section: Policy Implication For Logistics Centre Developmentmentioning

confidence: 99%

Strategies for Developing Logistics Centres: Technological Trends and Policy Implications

Nguyen,

Yeon,

Rudzki

et al. 2023

Polish Maritime Research

Self Cite

View full text Add to dashboard Cite

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“…The maritime and logistics industries are essential to the functioning of the global economy since they serve as the basis for international trade and commerce [12], [13]. These industries encompass various activities associated with transporting goods, raw materials, and passengers across oceans, seas, and land.…”

Section: Introductionmentioning

confidence: 99%

An insight into the Application of AI in maritime and Logistics toward Sustainable Transportation

Vu,

Le,

et al. 2024

JOIV : Int. J. Inform. Visualization

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This review article looks at the developing field of artificial intelligence and machine learning in maritime and marine environment management. The marine industry is increasingly interested in applying advanced AI and ML technologies to solve sustainability, efficiency, and regulatory compliance issues. This paper examines maritime and marine AI and ML applications using a deep literature review and case study analysis. Modeling ship fuel consumption, which impacts the environment and operating expenses, is a top responsibility. The study demonstrates that ML approaches such as Random Forest and Tweedie models can estimate ship fuel use. Statistical analysis demonstrates that the Random Forest model beats the Tweedie model regarding accuracy and consistency. For the training and testing datasets, the Random Forest model has high R2 values of 0.9997 and 0.9926, indicating a solid match. Low Root Mean Square Error (RMSE) and average absolute relative deviation (AARD) suggest that the model accurately reflects fuel use variability. While still performing well, the Tweedie model has lower R2 values and higher RMSE and AARD values, suggesting reduced accuracy and precision in fuel consumption prediction. These findings provide light on the potential applications of artificial intelligence and machine learning in maritime and marine environment management. Advanced analytics enables decision-makers to analyze fuel consumption patterns better, increase operational efficiency, and decrease environmental impact, thus improving maritime sustainability.

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“…Maritime transportation is a crucial player in global transportation [1]; it helps drive the growth of the global economy due to its ability to reduce transportation costs and facilitate speedier intermodal operations across other modes of transportation [2]- [5], which ports serve as crucial links for the transportation of products between the shoreline and the country's interior [6], [7]. In addition, the issue of environmental sustainability has become a significant focus for many marine industries relating to port activities, shipping, and shipbuilding due to the problems posed by climate change and the increasing needs of the logistics and transportation industries [8]- [10].…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence and Machine Learning for Green Shipping: Navigating towards Sustainable Maritime Practices

Nguyen,

Tran

et al. 2024

JOIV : Int. J. Inform. Visualization

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This paper aims to investigate the role that artificial intelligence (AI) plays in promoting sustainability in the marine industry. The report demonstrates the potential of AI-driven technology to improve vessel operations, decrease emissions, and promote environmental stewardship. This potential is shown by detailed examination of existing trends, problems, and possibilities. Several vital studies highlight the significance of policy interventions that encourage the use of artificial intelligence. These interventions include financial incentives, legal frameworks, and programs to increase capability. Throughout this work, the importance of the role that artificial intelligence plays in driving efficiency, safety, and sustainability is emphasized. This work also highlights the urgent need for action to address climate change and environmental degradation in the marine sector. The marine industry can lessen its carbon footprint, decrease pollution, and improve ecosystem health if it shifts to various alternative fuels, renewable energy sources, and technologies powered by artificial intelligence. At the end of this work, an appeal is made to policymakers, industry stakeholders, and technology providers, urging them to prioritize investments in artificial intelligence research and development and to create collaboration to speed up the transition to a marine sector that is more sustainable and resilient.

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Role of Green Logistics in the Construction of Sustainable Supply Chains

Cited by 7 publications

References 193 publications

Strategies for Developing Logistics Centres: Technological Trends and Policy Implications

Strategies for Developing Logistics Centres: Technological Trends and Policy Implications

An insight into the Application of AI in maritime and Logistics toward Sustainable Transportation

Artificial Intelligence and Machine Learning for Green Shipping: Navigating towards Sustainable Maritime Practices

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