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    Digitalization in Freight Transportation on Railway

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    https://www.riss.kr/link?id=T17415825

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    Railway freight transport is a critical component of global logistics, yet it faces challenges in efficiency, safety, and operational reliability. This research investigates the role of digitalization in enhancing railway freight performance through data analytics, automation, and predictive modeling.
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    Railway freight transport is a critical component of global logistics, yet it faces challenges in efficiency, safety, and operational reliability. This research investigates the role of digitalization in enhancing railway freight performance through d...

    Railway freight transport is a critical component of global logistics, yet it faces challenges in efficiency, safety, and operational reliability. This research investigates the role of digitalization in enhancing railway freight performance through data analytics, automation, and predictive modeling.

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    목차 (Table of Contents)

    • TABLE OF CONTENTS
    • Chapter 1. Introduction 1
    • 1.1. Background of the study 1
    • 1.2. Research Objective 1
    • TABLE OF CONTENTS
    • Chapter 1. Introduction 1
    • 1.1. Background of the study 1
    • 1.2. Research Objective 1
    • 1.3. Scope of the study 2
    • Chapter 2. Literature Review 3
    • 2.1. Digitalization in Railway Freight Transport 3
    • 2.2. Tracking and Monitoring Technologies 3
    • 2.3. Automation in Freight Operations 4
    • 2.4. Predictive Maintenance and Reliability Modelling 5
    • 2.5. Digital Twins, Simulation Models, and Data Analytics 5
    • 2.6. Gaps and Research Opportunities 6
    • Chapter 3. Digitalization Elements in Railway Freight 8
    • 3.1. Tracking and Monitoring Systems 8
    • 3.2. Automation and Operational Efficiency 10
    • 3.3. Safety Enhancements 12
    • Chapter 4. Research Methodology 16
    • 4.1 Primary Analysis 17
    • 4.2 Secondary Analysis 19
    • Chapter 5. Case Studies / Experimental Demonstrations 21
    • 5.1 Selection of Scenario or Dataset 21
    • 5.2 Experimental Design 22
    • 5.3 Experiment Execution Steps 25
    • 5.4 Interpretation of Results 26
    • 5.5. Measuring Improvement Through Simulation 27
    • 5.5.1. Baseline Metrics from Historical Data 27
    • 5.5.2. Defining Digital Interventions 29
    • 5.5.3. Simulation Methods 30
    • 5.5.4. Computing Improvements 31
    • 5.5.5. Quantifying Uncertainty 31
    • Chapter 6. Results and Discussion 34
    • 6.1 Operational Efficiency Improvements 34
    • 6.1.1 On-Time Arrival Rate 34
    • 6.1.2 Yard Dwell Time 35
    • 6.1.3 Average Train Speed 35
    • 6.2 Maintenance and Safety Improvements 35
    • 6.2.1 Predictive Maintenance Efficiency 35
    • 6.2.2 Early Anomaly Detection 36
    • 6.3 Energy Consumption and Resource Utilization 36
    • 6.4 Overall Performance Comparison 37
    • 6.5 Discussion 37
    • 6.5.1 Implications for Railway Operators 37
    • 6.5.2 Validity and Limitations 38
    • 6.5.3 Practical Scalability 38
    • Conclusion 40
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