Future of Operations & Maintenance 2021

During the DB mindbox 100-day program the startups develop a Proof of Concepts (PoC). Additionally, startups receive 25.000€ and access to a network of selected coaching and mentoring experts.

Smart Staff-Support

Our daily task is to maintain more than 400 trains. Help us to take our service to the next level by actively supporting our employees with your technology.

Autonomous Visual Inspection

We are looking for a camera-based AI system which is able to analyze the gathered footage to  substitute our manual inspections.

Cobots for Shopfloor Assistance

Support our shopfloor workers with a cobot assistance solution for heavy duty tasks like lifting and bolt tightening.

Autonomous Maintenance Robots

Design a robo-helper for our depots which can tighten bolts/screws, empty liquid containers and measure quantity while feeding the data into our SAP system.

Depot Scheduling Transparency

Support our maintenance workers in our depots with their to dos as they do not always know what's next on their list and where that will need to be done. Can you build links to SAP and other systems to provide a digital solution that helps workers prepare for the next task at hand?

Process Optimization

At Deutsche Bahn 320,000 employees are transporting thousands people from one place to another a day. To ensure our customers a safe and comfortable journey, we need innovative solutions to deploy the personnel and material resources efficiently.

Innovative Digital Training

Help us bring state of the art digital learning to our colleagues: Let's design tools to increase attractiveness of studying the rules of our complex railway world.

Digital Operating Field

Design a simulation environment to train new colleagues in railway operations: dispatchers, train drivers and other operations staff should be able to train their interaction as realistically as possible - almost like a computer game.

Knowledge Capturing For Best Practice

Help us capture unwritten know-how among our maintenance staff, merge it with SAP data on vehicle history to provide best practices for any maintenance situation to everybody at all times.

Stopping Time Adherence

Can you think of ways to reduce exceeding of stopping times at our stations? Bring your ideas eg on passenger guidance and smoother people flow or other innovative solutions to the table.

Maintenance

Deutsche Bahn not only wants to detect errors faster but also fix them even more thoroughly to improve punctuality and service. To achieve this, it relies on the latest algorithms and new ways of prediction to prevent defects before they even occur.

Predictive Analytics

Help us to make the transition from interval-based to condition-based maintenance to detect defects before they even occur.

Remote Support for Field Workers

Bring our centralised expert knowledge virtually on-site to our field workers without the need to travel.

Rail Tire Inspection

Improve our maintenance by analyzing and detecting irregularities of rail tires.

Sensor tracking

Help us tracking the motion and position of our tools in our facilities on a precise millimetre-level.

Monitoring of processes, trains and infrastructure

One of the main tasks of Deutsche Bahn is to monitor its comprehensive infrastructure. Therefore we are looking for new and innovative technologies and hardware solutions to constantly optimize processes and guarantee operations.

Track Process Mining

Help us identify, monitor and improve processes and extract knowledge from current data.

Cable & Fibre Monitoring

Provide possibilites to analyze our cables and fibres for a fast detection and rectification of defects.

Rail Elongation Implication

Combine existing fault reports with ambient factor data (weather etc.) and derive insights on where to focus our countermeasures.

Construction Data Structuring

Find a way to reorganize our construction data and find the right document as easily as possible.

Smart Tech

Deutsche Bahn moves about 2 billion people every year. Support us in this task by facilitating our daily business with the newest technology and smartest materials.

Geolocation

Work with us to improve the positioning of our trains, infrastructure, and devices as accurately as possible.

Intelligent Sensors

Help us advance our infrastructure and equip it with the latest sensor technology.

Talking Infrastructure

Get our infrastructure to let us know if something is needed or if it is in danger of breaking down soon.

Smart Materials // Tactile Displays

SM: Share your idea on how we can develop our materials to become even smarter in maintenance and production. // TD: We are looking for a tactile display solution inside our trains to display important journey relating information for our visually impaired passengers.

Operations

Operating a company like Deutsche Bahn is a heavy-duty job. Hence, finding innovative ways with you on how we can operate our system more efficiently is our goal.

Energy Consumption Prediction

Forecast the energy consumption of our trains in varying situations to run our trains even more efficiently and sustainably.

Radio Coverage

Prototype a sensor solution to generate compliant GSM-R measurements along our tracks and enable seamless data feeding into our databases.

Intelligent Loading System (Sylt Shuttle)

Optimise the logistics around our Sylt Shuttle terminals by bringing together data from different sources (e.g. existing car-detection cameras) to calculate a real-time optimal loading system with a timing & navigation system for arriving passengers.

Optimized field staff assignment

Combine the skills of our employees with the requirements of our systems to enable the best possible allocation of our staff.

Timeline

Application Deadline
06.12.2020
Announcement of Candidates
22.12.2020
Selection day (tbc)
27.01.2021
Start of Program
22.02.2021
End of Program
02.06.2021

Apply here

 

In the download file you will see all questions that have to be filled out in the registration form.

Overview: Form fields application form - Download (PDF)

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Startup Information (step 1 of 4)