Background:

At Scania, we want to set the next step towards the digitalisation in our factories. Our This consists of building a smart factory digital ecosystem, combining the physical equipment and our digital systems and unifying the different sources of data.

The Smart Factory Lab at Scania is an experimental test environment that explores, assesses, and pilots new technologies before they are adopted in Scania’s production processes. The lab focuses on digitalization and automation with the target of achieving autonomous material handling, reduction of quality deviations, and shortened introduction time. This will increase safety, productivity, quality, and human well-being. We are looking for motivated and creative students to join our Smart Factory Lab for their master thesis.

The thesis will involve working on innovative projects that explore how emerging technologies can enhance our production, engineering, and collaboration processes. You will have the opportunity to work in a dynamic and collaborative environment, where you can test and validate new technologies, methods, and solutions in close collaboration with our internal and external stakeholders.

 

Topics include:

Industrial Internet of Things Industry 4.0 (I4.0) / Fourth Industrial Revolution (4IR) Software Architecture Manufacturing Systems System Integrations Unified Namespace (UNS) Cloud/Edge Computing
 

Assignment:

Exact details for the assignment are open for discussion. We propose one of the following topics for the project:

 

Pre-study for the implementation of IIoT at one of our production units. We have a need for IIoT at one of Scania’s machining production units for a business case. One big issue that we run in at this production unit is collecting and understanding data from different sources. This assignment focuses on doing study on how we can organize and structure the data flow to build a solid foundation. Applied Metadata for IIoT. Investigate how to apply IIoT-standards on real-time data in the existing ecosystem. Suggest improvements and test new tools for achieving the expected result. Perform a gap analysis on existing standards and vocabularies from traditional IIoT ontologies compared to what is needed in Scania’s industrial context. Comparing the ISA-95 standard to Scania’s Common Information Model. This assignment will dive deeper in data modelling to combine industry standards, such as ISA-95, and in-house data models. Depending on the ability to support, we can discuss alternatives.
 

 

Education and time plan:

Education: Master’s program in Computer Science, Industrial Engineering, Automation Engineering, Data Science, Artificial Intelligence, or Cloud Computing

 

Number of students: 1-2

Start date: January 2025

Estimated time needed: 20 weeks

 

Contact persons and supervisor:

Maarten van Ittersum, maarten.van.ittersum@scania.com

 

Application:
Your application must include a CV, personal letter and transcript of grades 

 

A background check might be conducted for this position. We are conducting interviews continuously and may close the recruitment earlier than the date specified.