Research

Design and Frugal Innovations: Three roles of resource-poor people

ABSTRACT Design is imperative to satisfy needs of people in resource-limited societies. Many design studies have been carried out in the context of such societies in developing countries, and are discussed under names such as humanitarian engineering, frugal innovations, appropriate technology, design at the Base of the Pyramid, design for development, etc. In this paper, we review a wide range...

A model-driven decision arena: Augmenting decision making in early design

ABSTRACT A wide variety of expert competencies, transcending traditional disciplines, are needed to foresee and evaluate the impact of decisions in the conceptual phase of engineering design. Where this previously was a trade-off regarding design and development of the pure physical artefact it is now a complex ambiguity game involving all disciplines touching a solution during its lifecycle, due to...

EVOKE – Early Value-Oriented Design Concept Evaluation

Value creation is the end-game solution of product and service design. Yet, ‘value’ is difficult to measure, because it goes beyond manufacturing and usage cost to include a lot of subjective, intangible and tacit concepts. EVOKE is a method to keep focus on value generation throughout the design process, since its earliest phases. The EVOKE toolbox aims at supporting the...

Welcome as industrial PhD candidate Jenny Elfsberg!

Jenny Elfsberg is an industrial PhD candidate at BTH. Working as Director for Emerging Technologies at Volvo Construction Equipment she’ll now “double” by doing her PhD with a focus on innovation engineering. Jenny is contributing to, and doing research in, the KKS research profile “Model Driven Development and Decision Support“.

Welcome as a PhD candidate Ryan Ruvald!

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 Support“.

Mining data to design value: a demonstrator in early design

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 a two-stage scenario providing the rationale for the application of data science in engineering design. Furthermore, it describes a demonstrator showing how data can be fed back to the early...