Image: Volvo Lastvagnar AB, © Volvo Truck Corporation. All rights reserved
Image: Volvo Lastvagnar AB, © Volvo Truck Corporation. All rights reserved
PhD project at the Industrial Doctoral School at Umeå University.
The goal of Niklas Fries' project is to develop statistical methods to explain and prevent quality problems when painting truck cabins.
The project is financed by Umeå University (50 percent) and Volvo Lastvagnar AB (50 percent).
In my research, we study the painting process in Volvo Trucks' cab factory in Umeå. For this process, I want to collect data that describe the process as well as data that describe the resulting quality outcome.
Based on these data, I will develop methods for constructing cabin-specific explanatory variables as well as response variables.
When I have these cabin-specific variables, I want to use them to identify which process parameters have the largest influence on the quality of the painting.
When this is done, I want to develop an automatic alarm system that identifies an increased risk of quality problems, and a system for root cause analysis that identifies probable causes and proposes corrective measures.
