Crushed stone supply challenges for infrastructure development in Hungary DOI Open Access
Laszlo Ezsias, Katalin Kozma,

Richárd Tompa

et al.

Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, Journal Year: 2024, Volume and Issue: 6, P. 28 - 37

Published: Dec. 30, 2024

The rapid expansion of Hungary’s infrastructure projects, especially in railway construction, has significantly increased the demand for crushed stone. Both national and EU-funded initiatives have strained supply chains, resulting logistical challenges material shortages. With limited domestic production capacity, efficient resource management is crucial to keeping projects on track. This paper evaluates chain stone, identifying key weaknesses proposing solutions enhance sustainability. Purpose. study investigates difficulties delivering stone projects. It current limitations, proposes ways improve management, offers strategies reduce reliance imports while emphasizing Methodology. research applies Geographic Information System (GIS) modeling analyze transportation routes suggesting streamline logistics. examines capacities Hungarian quarries, some producing 15,000–25,000 tons monthly, assesses impact European regulations quality availability. potential integrating recycled materials into also explored. Findings. quarries cannot meet high ballast, estimated at 192,000 annually, leading import reliance. GIS shows optimized could cut costs carbon emissions. Incorporating smaller fractions mitigate shortages, with potentially comprising 40 % ballast. Originality. By geological, logistical, regulatory insights, this provides novel approaches addressing challenges. use innovative reducing environmental impacts. Practical value. findings present actionable improving efficiency, promoting recycling, optimizing These are applicable Hungary other regions facing similar

Language: Английский

Artificial Intelligence and Machine Learning for Green Shipping: Navigating towards Sustainable Maritime Practices DOI Creative Commons
Hoang Phuong Nguyen,

Cao Thao Uyen Nguyen,

Thi Men Tran

et al.

JOIV International Journal on Informatics Visualization, Journal Year: 2024, Volume and Issue: 8(1), P. 1 - 1

Published: March 1, 2024

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

Language: Английский

Citations

8
Metal-organic frameworks as potential catalysts for biodiesel production and biomass conversion: Mechanism and characteristics DOI
Thanh Tuan Le, Prabhakar Sharma,

Huu Son Le

et al.

Industrial Crops and Products, Journal Year: 2024, Volume and Issue: 211, P. 118232 - 118232

Published: Feb. 21, 2024

Language: Английский

Citations

7
An insight into the Application of AI in maritime and Logistics toward Sustainable Transportation DOI Creative Commons
Van Vu,

Phuoc Tai Le,

Thi Mai Thom

et al.

JOIV International Journal on Informatics Visualization, Journal Year: 2024, Volume and Issue: 8(1), P. 158 - 158

Published: March 31, 2024

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

Language: Английский

Citations

5
Leveraging Artificial Intelligence to Enhance Port Operation Efficiency DOI Creative Commons
Gia Huy Dinh, Hoang Thai Pham, Lam Canh Nguyen

et al.

Polish Maritime Research, Journal Year: 2024, Volume and Issue: 31(2), P. 140 - 155

Published: June 1, 2024

Abstract Maritime transport forms the backbone of international logistics, as it allows for transfer bulk and long-haul products. The sophisticated planning required this form transportation frequently involves challenges such unpredictable weather, diverse types cargo kinds, changes in port conditions, all which can raise operational expenses. As a result, accurate projection ship’s total time spent port, anticipation potential delays, have become critical effective activity management. In work, we aim to develop management system based on enhanced prediction classification algorithms that are capable precisely forecasting lengths ship stays delays. On both training testing datasets, XGBoost model was found consistently outperform alternative approaches terms RMSE, MAE, R2 values turnaround waiting period models. When used model, had lowest RMSE 1.29 during 0.5019 testing, also achieved MAE 0.802 0.391 testing. It highest 0.9788 0.9933 Similarly, outperformed random forest decision tree models, with greatest phases.

Language: Английский

Citations

4
Revolutionizing RPAS logistics and reducing CO2 emissions with advanced RPAS technology for delivery systems DOI Creative Commons
Armin Mahmoodi, Leila Hashemi, Jeremy Laliberté

et al.

Cleaner Logistics and Supply Chain, Journal Year: 2024, Volume and Issue: 12, P. 100166 - 100166

Published: Aug. 23, 2024

Language: Английский

Citations

4
Blockchain-Enabled Transfer Learning for Vulnerability Detection and Mitigation in Maritime Logistics DOI Creative Commons

J. Chandra Priya,

Krzysztof Rudzki,

Xuan Huong Nguyen

et al.

Polish Maritime Research, Journal Year: 2024, Volume and Issue: 31(1), P. 135 - 145

Published: March 1, 2024

Abstract With the increasing demand for efficient maritime logistic management, industries are striving to develop automation software. However, collecting data analytics from diverse sources like shipping routes, weather conditions, historical incidents, and cargo specifications has become a challenging task in distribution environment. This challenge gives rise possibility of faulty products traditional testing techniques fall short achieving optimal performance. To address this issue, we propose novel decentralised software system based on Transfer Learning blockchain technology named as BETL (Blockchain -Enabled Learning). Our proposed aims automatically detect prevent vulnerabilities operational by harnessing power transfer learning smart contract-driven blockchain. The vulnerability detection process is automated does not rely manually written rules. We introduce non-vulnerability score range map effective classification factors. Additionally, ensure storage over blockchain, integrate an InterPlanetary File System (IPFS). demonstrate effectiveness integration secure conduct testbed-based experiment. results show that approach can achieve high precision (98.00%), rate (98.98%), accuracy (97.90%), F-score (98.98), which highlights its benefits enhancing safety reliability logistics processes. computational time (the approach) was improved 18.9% compared standard learning.

Language: Английский

Citations

2
Development of Construction Logistics Strategy in Real Estate through Innovation Hubs DOI Creative Commons
Anandhu Vijayakumar, Jeļena Davidova

Baltic Journal of Real Estate Economics and Construction Management, Journal Year: 2024, Volume and Issue: 12(1), P. 150 - 165

Published: Jan. 1, 2024

Abstract There is an importance for innovation hubs in the field of real estate development as they enhance sustainability, promote technological developments and encourage collaboration. The help to integrate modern technologies, which decrease associated costs increase productivity. Moreover, allow systematic organization construction activities achieve sustainable goals. This paper aims evaluate multiple factors influencing logistics developing sector through hubs. research used quantitative methodology relied on two data acquisition techniques. primary or unpublished obtained online survey, secondary procured already published articles journals. survey analysed using factor analysis. main are performance factors, optimization ecological growth factors. authors developed a model according analysis results. recommendations implementing innovative forums update adopt technologies. Also, mechanisms should be implemented analyse workers’

Language: Английский

Citations

2
Strategies for Developing Logistics Centres: Technological Trends and Policy Implications DOI Creative Commons
Minh Duc Nguyen,

Ko Tae Yeon,

Krzysztof Rudzki

et al.

Polish Maritime Research, Journal Year: 2023, Volume and Issue: 30(4), P. 129 - 147

Published: Dec. 1, 2023

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

Language: Английский

Citations

4
Blockchain in energy: literature review in the context of sustainability DOI Creative Commons
Łukasz Jarosław Kozar, Łukasz Jarosław Kozar

Economics and Environment, Journal Year: 2024, Volume and Issue: 90(3), P. 866 - 866

Published: Oct. 28, 2024

This paper has two equally important research objectives. The first aim of the is to identify key areas addressed in scientific publications that simultaneously relate blockchain, energy, and sustainability. In turn, identification green these second aim. indicated aims were achieved on basis a bibliometric review 205 from 2017-2023 (Scopus database). By means systematic literature review, 25 different identified. classic identified 18 (e.g. blockchain). At same time, no issue was as area. results can inspire researchers looking for gaps around blockchain sustainability issues. Among recommendations stakeholders, need further technology, development regulatory framework, or educational issues highlighted.

Language: Английский

Citations

0
Exhaust Gas Heat Recovery from a Marine Engine Using a Thermal Oil System DOI Creative Commons
Van Vang Le, Xuan Quang Duong,

Văn Hùng Bùi

et al.

Polish Maritime Research, Journal Year: 2024, Volume and Issue: 31(4), P. 89 - 99

Published: Dec. 1, 2024

Abstract The recovery of exhaust gas from marine engines is gaining attention in regard to saving fuel and improving system efficiency. Waste heat particularly beneficial for providing thermal electric power, offers efficient solutions both economic environmental challenges. use waste technology the opportunity lower consumption improve systems, this approach also falls line with stringent emissions guidelines International Maritime Organization. This paper describes a unique which oil used feed cargo, order exploitation costs while addressing issues. CFD simulations unit plain finned helix coils provide important insights into their performance pressure characteristics. results indicate that incorporation fins could markedly enhance transfer performance. Finned configurations are found have higher outlet temperatures, reaching up 145.4°C case rectangular configuration. In general, study contributes advancement technologies applications.

Language: Английский

Citations

0