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Data-Driven Optimization of Railway Track Inspection and Maintenance Using Markov Decision Process
| Content Provider | Semantic Scholar |
|---|---|
| Author | Sharma, Siddhartha |
| Copyright Year | 2016 |
| Abstract | ii ACKNOWLEDGEMENT iii List of Figures v List of Tables vi Chapter 1: Introduction 1 1.1 Background 1 1.2 Challenges 4 1.3 Contributions 4 1.4 Thesis Objectives 5 1.5 Thesis Organization 6 Chapter 2: Literature Review 7 2.1 Track Quality Index 7 2.2 Track Preventive Maintenance 8 2.3 Markov Decision Process 10 Chapter 3: Data Description 13 3.1 Data Collection 13 3.2 Data Analysis 14 3.2.1 Calculation of TQI 14 3.2.2. Geo-Defects 17 Chapter 4: Methodology 21 4.1 Assumptions in the Thesis 21 4.2 Development of Markov Decision Process Model 21 4.3 Arrival of Geo-defects 29 4.4 Reward Associated with Markov Decision Process 30 4.5 Markov Chain Monte Carlo Simulation 31 Chapter 5: Analysis of Existing Maintenance Policy 33 5.1 Existing Policy 33 5.2 Existing Policy Derived from MCMC 36 5.3 Cost Associated in Existing Policy 40 Chapter 6: Optimization for Condition-Based Maintenance with Markov Decision Process 43 6.1 Overview 43 6.2 Introduction to Value Iteration Algorithm 43 6.3 Optimal Policy 45 6.4 Cost of Optimal Policy 47 6.5 Savings and Results 49 6.6 Sensitivity Analysis 50 6.6.1. Inspection Cost 51 6.6.2. Major Maintenance Cost 53 Chapter 7: Conclusion and Future Research 55 7.1 Future Research 55 References 57 |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.acsu.buffalo.edu/~qinghe/thesis/2016-01%20Sharma%20MS%20Railway%20tack.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
