Two months to apply in “real life” what has been learned during the years of university education, starting from a plan to the delivery of a final solution. This was […]
Read More
Ryan Ruvald is a PhD candidate at BTH employed from November 1 working with supporting engineering decision making. Ryan is part of the KKS research profile “Model Driven Development and Decision […]
Read More
ABSTRACT The paper presents a study run to verify the applicability of data mining algorithms as decision support in early design stages of a product development project. The paper describes […]
Read More
ABSTRACT Quality Function Deployment (QFD) is a common model to frontload engineering design activities with, linking the characteristics of a product vs. the voice of the customer using linear relationships. […]
Read More
PDRL and the University of Bergamo organise a Special Session on the topic of Data-Driven Product Service Systems Design (DDPSSD) at INCOM 2018. The session invites both theoretical contributions and […]
Read More
The BTH Product Development Research Lab is today one of the major academic players in the domain of model-driven decision support. A total of eight papers collecting current findings have been recently accepted for publication at the 21st International Conference on Engineering Design (ICED17).
Read More
ABSTRACT The paper presents a literature review about data mining applications in Product/Service-Systems (PSS) design. A systematic literature review, combined with snowballing techniques, has been run to identify relevant contributions […]
Read More
In their editorial, Tim McAloone, Daniela Pigosso, Niels Henrik Mortensen and Yoshiki Shimomura remind us that the philosophy behind in Industrial Product Service Systems is to create customer-oriented solutions that […]
Read More
How do we educate our students to deal with the increasingly complex engineering challenges that they will meet in the future? As globalization and systems complexity are increasing, so need […]
Read More
“Systems Engineering is about simplifying the problem, without taking away what is important. You cannot manage all the complexity at once”. A great lesson for our MT2530 Systems Engineering students […]
Read More