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Industry 4.0 Technologies Applied to Inland Waterway Transport: Systematic Literature Review
Juan Felipe Restrepo-Arias1, John William Branch-Bedoya1, Julian Andres Zapata-Cortes2
1Facultad de Minas, Universidad Nacional de Colombia, Medellín 050041, Colombia.
Industry 4.0 technologies offer solutions for inland waterway transport challenges. This review identifies key problems and technological strategies, including smart navigation and big data analytics, to improve cargo movement.
Area of Science:
- Maritime Logistics
- Industrial Technology
- Transportation Engineering
Background:
- Global increase in waterway traffic presents challenges for inland transport.
- Industry 4.0 technologies are emerging as potential solutions for these issues.
Purpose of the Study:
- Identify primary problems in inland waterway cargo transport.
- Determine technological strategies addressing these problems.
- Analyze Industry 4.0 technologies within these strategies.
Main Methods:
- Systematic Literature Review (SLR) approach.
- Analysis of 645 recovered articles, with 88 deemed eligible.
- Identification of five key domains: traffic monitoring, smart navigation, emission reduction, big data analytics, and cybersecurity.
Main Results:
- Five domains of application for Industry 4.0 in inland waterways identified.
- Strategies combine navigation tech (e.g., Automatic Identification System - AIS) with Industry 4.0 tools, particularly machine learning.
- Data analytics and machine learning leverage long-term collected data for optimization.
Conclusions:
- This study provides a foundational overview of Industry 4.0 applications in inland waterway transport.
- Highlights current trends and research directions in the scientific community.
- Paves the way for future research and advanced solution development.
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