Changing business models, operational inefficiencies, and consolidation initiatives have resulted in the shutting down of rail yards across North America and Europe.
This has increased pressure on the remaining yards to perform better while physical rail infrastructure remains largely unchanged.
Modernization is critical for rail yards to perform efficiently and for business growth. It is more cost-efficient to improve existing rail yards than to build new, modern, sophisticated ones. While the rest of the rail ecosystem comprising manufacturing, infrastructure management, and passenger and freight operations is on a digital-transformation journey, rail yards seem to be lagging in pace. Rail yards can gain efficiencies and face the challenges posed by the rest of the ecosystem through increased digitalization of processes and by modernizing hardware.
Various stakeholders, including CXOs and staff such as yard masters and asset inspectors, use different indicators (KPIs) to measure yard performance. These KPIs also vary at different levels but generally include reliability, safety, flexibility, visibility, and cost-effectiveness.
Rail yards play an important role in the overall value chain of passenger and freight transportation; they are a complex series of railroad tracks acting as hubs for operations, including sorting, inspecting, and repairing wagons, and fuelling.
Delays caused in activities in yards directly impact rail operations of the mainline network. Streamlining yard operations is, therefore, critical for future rail.
Typically, railway operating companies and rail yards are responsible for managing the timely movement of cars or wagons—a key factor for business growth. Factors such as non-availability of mainline tracks, discrepancies in documentation, defective wagons and limited track capacity cause delays in train arrivals and departures. Delays in departures lead to congestion in rail yards, which necessitates rescheduling of traffic on mainline networks. The cycle goes on (Figure 1).
Based on our experience, train wagons spend more than 50% of their lifetime idling, waiting to be scheduled. This also impacts utilization of resources such as locomotives, shunting operations, fuel, and manpower. In addition, wagons found to be defective are usually taken out to repair areas and it is not uncommon for those to be lost or forgotten in rail yards. On the other hand, most asset inspections and shunting operations involve human intervention. This requires staff to be on track or near moving assets, increasing safety risks.
With train wagons usually waiting to be scheduled, there is an impact on utilization of resources such as locomotives, fuel, and manpower. Digital tools and cutting-edge technologies, including AI and IoT, can improve the planning process and increase efficiency.
Leveraging cutting-edge technologies for rail digitalization, including artificial intelligence (AI) and the internet of things (IoT), can help rail yards to overcome the challenges.
However, yards seem to lag the rest of the players in the rail ecosystem in technology adoption. For instance, all the rail routes in USA became PTC (positive train control) compliant by the end of 2020. Similarly, the European Union is supporting initiatives such as European Train Control System and European Rail Traffic Management System to help bring in more automation and standardization across various countries. These initiatives across North America and Europe involve the adoption of technologies to reduce human intervention by integrating numerous components across telecommunication spectrum such as GPS, wifi, cellular technology, and various types of sensors deployed on train network. Rail yards are also in need of a similar concerted and integrated approach for business growth.
Rail yards may benefit by adopting a multidimensional approach to tackle the challenges they face.
They should plan operations more efficiently and automate asset inspections. The main objective is to reduce system dwell time and minimize manual intervention to improve efficiencies, thus helping achieve strategic business goals of future rail.
Freight and passenger operators have to work towards optimum utilization of resources and avoid delays. Delay in any single activity (Figure 2) derails the overall train schedule.
By planning related tasks ahead of schedule, operators can make sure their wagons are kept idle for less time. Better integration with partners for proper block sequencing at the source (starting location of train) can help plan classification operations for train departure schedules and also yard-level resource allocation such as locomotive and yard staff.
Organizations can leverage operations research (OR) optimization algorithms such as linear programming and OR-based mathematical solvers for efficient planning of wagon block and break operations, thus boosting efficiency at the rail yard and on the mainline network. Real-time track assignment is also a way to tackle delays. However, this needs complex mathematical models as a majority of train schedules are assigned reasonably in advance and last-minute changes even in a small percentage of schedules have a direct impact on multiple related rail operations.
To improve efficiencies, operators will need to replace manual asset inspection of wagons and components with machine-vision-based solutions for effective rail infrastructure management.
For instance, organizations can implement high-speed cameras and video streams backed by AI and vision systems at yard arrival and departure tracks to record the condition of wagons and their components at large yards. The four basic components of machine vision applications are inspection, gauging, guidance, and identification.
While this process reduces human intervention, it also eases up and automates the documentation process.
Similarly, radio frequency identification (RFID) sensors, optical character recognition (OCR) readers, and geographic information system (GIS)-based mapping solutions can help in keeping track of the location of wagons whenever they enter or leave yards. This can improve the planning process for train assembly by quickly locating wagons within the yard. At the same time, shunting operations can be managed remotely by deploying solutions using high-resolution cameras, and IoT sensors combined with AI and deep learning to perform shunting operations. This can help to reduce the movement of staff near tracks, thus increasing overall asset and personnel safety, a key objective of future rail.
By planning related tasks ahead of schedule, operators can make sure their wagons are kept idle for less time. Better integration with partners for proper block sequencing at the source (starting location of train) can help plan classification operations for train departure schedules and also yard-level resource allocation such as locomotive and yard staff.
Organizations can leverage operations research (OR) optimization algorithms such as linear programming and OR-based mathematical solvers for efficient planning of wagon block and break operations, thus boosting efficiency at the rail yard and on the mainline network. Real-time track assignment is also a way to tackle delays. However, this needs complex mathematical models as a majority of train schedules are assigned reasonably in advance and last-minute changes even in a small percentage of schedules have a direct impact on multiple related rail operations.
Documentation digitalization is another key component crucial to closing the loop in the IT modernization cycle of rail yards.
Documentation processes vary across yards, and they are subject to the maturity of IT systems and the flexibility with which information is integrated from external parties. Yards that continue to use manual documentation for recording of defects and issuing fitness certificates can digitize the asset-inspection process. Documentation applications installed on tablets, PCs, smartphones, or hand-held devices can help with the digitalization of records of asset condition, along with images. Information recorded using such mobile applications can be transmitted to relevant enterprise systems for subsequent actions such as asset repair or placing the order for spare parts based on inventory condition, improving management of rail infrastructure. In some cases, wagons taken on lease would require approval from the asset owner for repair work; digitally recording defects can help in expediting information exchange with the asset owner.
Future rail yards can bring in efficiencies by implementing proposed changes and charting out operational, tactical, and strategic goals over time—from short to medium, and long term.
Logistics and distribution supply chains are already leveraging technologies such as big data and analytics to improve tracking, and analyzing inventory through object identification, real-time information availability and updates. Rail yards can adopt similar initiatives to improve block, train, and resource planning while automating processes to enhance reliability of rail operations and improve efficiency. An experienced partner can help in intelligent rail yard planning, digitalizing inspection, and getting periodic rail layout review, enabling CXOs and yard staff to achieve performance goals through better safety, flexibility, increased visibility, and cost optimization.