eTWIN project at Swedish Mining Innovation day
October 5 is the “Swedish Mining Innovation Program day – a digital drop in/drop out event” between 9.45-14.45
Professor and research entrepreneur in product development and innovation
October 5 is the “Swedish Mining Innovation Program day – a digital drop in/drop out event” between 9.45-14.45
Concluding remarks This feasibility study, which was carried out in close collaboration between Volvo Construction Equipment, Lund University and Blekinge University of Technology, has investigated the conditions for carrying out...
Abstract Prototypes are an established tool for rapidly increasing learning, communication and decision making rationale for design projects. The proven success has spawned a litany of approaches and methods for...
Abstract A data analysis method based on artificial neural networks aiming to support cause-and-effect analysis in design exploration studies is presented. The method clusters and aggregates the effects of multiple...
Abstract Together with increasingly saturated and commoditized global markets companies are driven to shift their business focus, adopting a strategy where customer perceived value is in the spotlight, and where...
Abstract: The paper presents a Model-Driven approach for Product-Service System (PSS) Design promoting an increased digitalization of the PSS design process based on the combination of data-driven design (DDD) activities...
Wu Peng is an industrial PhD candidate at BTH. Working as an R&D Engineer with Sanndvik Coromant he’ll now “double” by doing his PhD with a focus on developing mechanistic...
I årets Stanfordprojekt, där studenter samarbetar med studenter från Stanford University, har studenterna tagit fram en lösning som gör att företag kan spåra och återvinna material.
The project aligns with the BTH strategy of enlarging the recruitment base for distance studies including national and international students, capitalizing on the engineering and pedagogical competencies developed during a...
Abstract A data analysis method based on artificial neural networks aiming to support cause-and-effect analysis in design exploration studies is presented. The method clusters and aggregates the effects of multiple...