Ryan Ruvald successfully defended his PhD thesis “Innovation in a Changing World: Exploring PSS Design through Prototyping” in front of some 50 people in the room and online. Ryan made a popular presentation of his research and took the audience through his findings and experiments and then landed in a summary of his findings. Ryan has been working within several applied...
Jenny Elfsberg successfully defended her PhD thesis “Innovation Engineering in Practice: Bridging Exploration and Exploitation in Large Manufacturing Incumbents” in front of some 60 people in the room and online and after thorough questioning by the opponent Professor Martin Steinert (Norwegian University of Science and Technology, Norway) and the grading committee consisting of Professor Mario Štorga (University of Zagreb, Croatia),...
Omsri Kumar Aeddula presented his licentiate thesis entitled “Data-Driven Decision Support Systems for Product Development – A Data Exploration Study Using Machine Learning” in front of an hybrid audience of online listeners and physically present people. In all a crowd of some 50 participants.
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 major infrastructure projects emission- and fossil-free. Furthermore, it has also been investigated whether a decision support, which can operate throughout the value chain, customer, contractor and machine/system supplier, is possible...
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 building and planning the efficient planning and construction of prototypes. Translating these methods into simple usable tools to assist novice designers has generated broadly applicable canvases to support prototyping across...
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 design variables based This is a qualitative single case study of a geographically distributed student team that experienced a quite different graduate course, compared to previous year’s. This was due...
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 products are bundled with services to offer Product-Service Systems (PSS). In this research we study the emergence of PSS solutions in the Chinese market via a selected case study on...
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 and value-driven design (VDD) methods. The approach is the results of an 8-year long research profile named (omitted for blind review) featuring the collaboration between (omitted for blind review) and...
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 pluriannual research profile on Model-Driven Development and Decision Support (MD3S). In line with the BTH strategic directions, the project shall be seen as the first step of a larger initiative...
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 design variables based on the structural hierarchy of the evaluated system. The proposed method is exemplified in a case study showing that the predictive capability of the created, clustered, a...
