20202020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)Requires access

Research on Lean Operations Management Method of Railway Marshalling Yard

Wenqiao Sun, Qigang Liu, Xiang Li, Min Chen, Yan Zhang

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Abstract

Freight railway plays a more and more important role in China freight logistics industry. The traffic volume is increasing at an annual growth rate of more than 6%, which enhances the importance of increasing carrying capacity of marshalling yards. By using intelligent technologies like satellite positioning, image recognition, and Iot (Internet of Things), methods of accurate marshalling-yards operation data obtaining, transmission and processing are illustrated in the paper. Cargo wagon loading situation inspection is taken as a case study, and explains how to establish an accurate real-time data base for lean operations management, provides an optimized operation process, and displays a control query interface, which increases both safety and efficiency of the operation process.

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What this paper is about

Freight railway plays a more and more important role in China freight logistics industry. The traffic volume is increasing at an annual growth rate of more than 6%, which enhances the importance of increasing carrying capacity of marshalling yards. By using intelligent technologies like satellite positioning, image recognition, and Iot (Internet of Things), methods of accurate marshalling-yards operation data obtaining, transmission and processing are illustrated in the paper. Cargo wagon loading situation inspection is taken as a case study, and explains how to establish an accurate real-time data base for lean operations management, provides an optimized operation process, and displays a control query interface, which increases both safety and efficiency of the operation process.

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Available abstract

Freight railway plays a more and more important role in China freight logistics industry. The traffic volume is increasing at an annual growth rate of more than 6%, which enhances the importance of increasing carrying capacity of marshalling yards. By using intelligent technologies like satellite positioning, image recognition, and Iot (Internet of Things), methods of accurate marshalling-yards operation data obtaining, transmission and processing are illustrated in the paper. Cargo wagon loading situation inspection is taken as a case study, and explains how to establish an accurate real-time data base for lean operations management, provides an optimized operation process, and displays a control query interface, which increases both safety and efficiency of the operation process.

Key concepts: Marshalling, Yard, Process (computing), Computer science, Control (management), Transport engineering, Engineering, Programming language

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