Maintenance 4.0 in Railway Transportation Industry

2016 ◽  
pp. 317-331 ◽  
Author(s):  
Mirka Kans ◽  
Diego Galar ◽  
Adithya Thaduri
Keyword(s):  
Transportation Industry ◽  
Railway Transportation

Railway Operations Models

2018 ◽  
pp. 745-767
Author(s):  
Sundaravalli Narayanaswami
Keyword(s):  
Prior Knowledge ◽  
Conceptual Understanding ◽  
Real World ◽  
Analytical Approach ◽  
Model Development ◽  
Transportation Industry ◽  
Railway Transportation ◽  
Academic Context ◽  
Railway Operations ◽  
Transportation Scheduling

This chapter is intended as an exposure to OR based methods, particularly the analytical approach to modelling railway operations. An overview of several planned operations in railway transportation is provided in an academic context. Some of the applications and the associated models are applied in realistic settings in the transportation industry, and also have demonstrated evidence of acceptance over a long number of years. Primary coverage is on transportation scheduling and the concise discussions are on planning phases, various operations that can be deterministically modeled and analysed, model development, few exercises and real-world stories, wherever appropriate. All sections are adequately provided with the list of references and an interested reader can benefit from a conceptual understanding to model development and to implement and deploy, under some prior knowledge on the basics and programming experience.

scholarly journals Development of a composite friction modifier with carbon nanotubes for applications at the wheel–rail interface

2020 ◽  
Vol 29 ◽  
pp. 2633366X2093001
Author(s):  
Juan Camilo Vélez ◽  
Jesús Antonio Carlos Cornelio ◽  
Robinson Buitrago Sierra ◽  
Juan Felipe Santa ◽  
Lina Marcela Hoyos-Palacio ◽  
...  
Keyword(s):  
Carbon Nanotubes ◽  
Traction Force ◽  
Solid Lubricants ◽  
Total Solid ◽  
Transportation Industry ◽  
Railway Transportation ◽  
Friction Modifier ◽  
Total Mass Loss ◽  
Efficient Alternative ◽  
Cost Efficient

Wear of wheels and rails is a major problem in railway transportation industry. Solid lubricants constitute a cost-efficient alternative to control wear and friction at the wheel–rail interface, especially when a fine-tuned balance between traction force and energy consumption is sought. In this work, composite friction modifiers (CFMs) composed of a vinyl ester matrix reinforced with molybdenum disulfide and carbon nanotubes were developed. The total solid additive content was less than a half in comparison with a commercial product available on the market, which was used as a reference. A benchmarking study of the CFM was carried out by means of tribological tests in a twin-disc machine at a contact pressure of 1.1 GPa and different slip values. The results indicated that the developed CFM reduce coefficient of traction by 10% compared to unlubricated conditions that is similar to the reference. However, the total mass loss of steel components due to wear under CFM lubrication was lower than in the reference test.

Railway Operations Models

2016 ◽  
pp. 313-334
Author(s):  
Sundaravalli Narayanaswami
Keyword(s):  
Prior Knowledge ◽  
Conceptual Understanding ◽  
Real World ◽  
Analytical Approach ◽  
Model Development ◽  
Transportation Industry ◽  
Railway Transportation ◽  
Academic Context ◽  
Railway Operations ◽  
Transportation Scheduling

This chapter is intended as an exposure to OR based methods, particularly the analytical approach to modelling railway operations. An overview of several planned operations in railway transportation is provided in an academic context. Some of the applications and the associated models are applied in realistic settings in the transportation industry, and also have demonstrated evidence of acceptance over a long number of years. Primary coverage is on transportation scheduling and the concise discussions are on planning phases, various operations that can be deterministically modeled and analysed, model development, few exercises and real-world stories, wherever appropriate. All sections are adequately provided with the list of references and an interested reader can benefit from a conceptual understanding to model development and to implement and deploy, under some prior knowledge on the basics and programming experience.

Big Data in Railway O&M

2022 ◽  
pp. 391-416
Author(s):  
Diego Galar ◽  
Dammika Seneviratne ◽  
Uday Kumar
Keyword(s):  
Big Data ◽  
Traffic Control ◽  
Big Data Analytics ◽  
Transportation Industry ◽  
Railway Transportation ◽  
Diagnostic Systems ◽  
Smart Systems ◽  
Railway Systems ◽  
Diagnosis And Prognosis ◽  
Operation And Maintenance

Railway systems are complex with respect to technology and operations with the involvement of a wide range of human actors, organizations and technical solutions. For the operations and control of such complexity, a viable solution is to apply intelligent computerized systems, for instance, computerized traffic control systems for coordinating airline transportation, or advanced monitoring and diagnostic systems in vehicles. Moreover, transportation assets cannot compromise the safety of the passengers by only applying operation and maintenance activities. Indeed, safety is a more difficult goal to achieve using traditional maintenance strategies and computerized solutions come into the picture as the only option to deal with complex systems interacting among them and trying to balance the growth in technical complexity together with stable and acceptable dependability indexes. Big data analytics are expected to improve the overall performance of the railways supported by smart systems and Internet-based solutions. Operation and Maintenance will be application areas, where benefits will be visible as a consequence of big data policies due to diagnosis and prognosis capabilities provided to the whole network of processes. This chapter shows the possibilities of applying the big data concept in the railway transportation industry and the positive effects on technology and operations from a systems perspective.

Using Ontology and Modelling Concepts to Develop Smart Applications

2017 ◽  
Vol 5 (1) ◽  
pp. 48-69
Author(s):  
Bas Bach ◽  
Mark von Rosing ◽  
Henrik von Scheel
Keyword(s):  
Public Transport ◽  
Performance Model ◽  
Cutting Edge ◽  
Smart Cards ◽  
The Internet ◽  
Transportation Industry ◽  
Railway Transportation ◽  
Application Development ◽  
The People ◽  
The World

Innovating one's organizations alongside the digital transformation that the industry 4.0 and with it the internet of things enables, is a complex undertaking. This case story covers the passage and stages that the Dutch railway transportation industry went through in applying standards from bodies like ISO, OMG and LEADing Practice to developing smart applications and solutions to fit customer needs. They used these the standards together with the Business Ontology, specific the role oriented modelling concepts and managed it all in the process and application lifecycle. The case story covers the aspects of smart application development with smart cards. Like the internet has revolutionised the world, smart cards have revolutionised the traveler's world. Smart cards are secure portable storage devices enabling millions of users around the world for advanced and easy transport flow. This case story elaborates on the Dutch Railway process of cutting edge smart application development within advanced customer process handling through the role oriented processes and services. It elaborates on the Trans Link Systems, which was established by the various Dutch public transport companies to implement a single payment system for public transport, that together with the smart card system OV-chipkaart is made available to the people using public transport in the Netherlands. The case story was chosen not only for their leading practices applied in developing the Railway customer system of the future, but specific they way they did it. Their advanced role oriented processes and services modelling and role oriented architecture thinking in developing cutting edge smart applications. Interlinking the role oriented process lifecycle with the application lifecycle to support the 5 large transport organizations business model, service model, revenue model as well as the performance model.

scholarly journals Countermeasures and Prevention of Railway Traffic Accidents in the Early Days of the Founding of the People's Republic of China

2019 ◽  
Vol 3 (5) ◽  
Author(s):  
Qinghua Lu ◽  
Zhaoguo Zhang ◽  
Wei Zheng
Keyword(s):  
Large Scale ◽  
Traffic Accidents ◽  
People’S Republic Of China ◽  
Transportation Industry ◽  
People's Republic Of China ◽  
Railway Transportation ◽  
Republic Of China ◽  
Railway Traffic ◽  
The Face ◽  
The Right

In the early days of the founding of the People's Republic of China, in order to restore the national economy as soon as possible, the Communist Party of China carried out maintenance and repairs on the railways that caused serious damage to transportation tasks through war-torn smoke, and carried out large-scale railway construction. However, in the course of operation, railway safety accidents occur frequently due to outdated equipment, low quality of staff, lack of rules and regulations, vandalism, and various natural disasters. In the face of severe conditions, the railway authorities summed up the accidents and learned the safety of the railways, so that the railway transportation industry, which started after the founding of the country, was gradually on the right track, and laid a solid foundation for the safe development of the railway industry.

Big Data in Railway O&M

2018 ◽  
pp. 1-26
Author(s):  
Diego Galar ◽  
Dammika Seneviratne ◽  
Uday Kumar
Keyword(s):  
Big Data ◽  
Traffic Control ◽  
Big Data Analytics ◽  
Transportation Industry ◽  
Railway Transportation ◽  
Diagnostic Systems ◽  
Smart Systems ◽  
Railway Systems ◽  
Diagnosis And Prognosis ◽  
Operation And Maintenance

Railway systems are complex with respect to technology and operations with the involvement of a wide range of human actors, organizations and technical solutions. For the operations and control of such complexity, a viable solution is to apply intelligent computerized systems, for instance, computerized traffic control systems for coordinating airline transportation, or advanced monitoring and diagnostic systems in vehicles. Moreover, transportation assets cannot compromise the safety of the passengers by only applying operation and maintenance activities. Indeed, safety is a more difficult goal to achieve using traditional maintenance strategies and computerized solutions come into the picture as the only option to deal with complex systems interacting among them and trying to balance the growth in technical complexity together with stable and acceptable dependability indexes. Big data analytics are expected to improve the overall performance of the railways supported by smart systems and Internet-based solutions. Operation and Maintenance will be application areas, where benefits will be visible as a consequence of big data policies due to diagnosis and prognosis capabilities provided to the whole network of processes. This chapter shows the possibilities of applying the big data concept in the railway transportation industry and the positive effects on technology and operations from a systems perspective.

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