1,721,037 research outputs found
Impact of Design Representations on Creativity of Design Outcomes
Designers usually spend non-negligible efforts in performing comprehensive design space explorations, but important information exchanged in conceptual design sessions is often lost, even about the rationale behind the preferred solutions. As a part of a broader investigation concerning the impact of knowledge coming from previously performed design tasks, this paper describes an experiment aimed at assessing the impact on the design outcomes of two representations used to share existing design information. In particular, the authors compared a function structure, together with a morphological chart, against a hierarchically organized tree of problems and solutions. The design experiment has been performed with a sample composed by 35 engineering students, which have been opportunely subdivided in three groups. The experiment has been structured in three phases and the acknowledged literature metrics for assessing idea generation effectiveness have been applied to assess the design outcomes produced by students. Obtained results show that providing information with the two investigated representations leads to potential advantages in terms of Variety of devised concepts. Moreover, additional analysis of the results highlight that the considered representations lead to different idea-generation paths
Investigating the future of the fuzzy front end: towards a change of paradigm in the very early design phases?
Many scholars argue that very early design phases are not supported adequately in many respects, although they are at the cornerstone of successful new product development. Difficulties in developing appropriate methods emerge because of the need to account for uncertainties and ambiguities that feature the Fuzzy Front End. This is likely the reason behind the limited industrial adoption of existing design methods, especially those that are oriented to support Product Planning. In this context, the thrust of the paper is the attempt to identify key activities and functions featuring Product Planning. The study entrusts figures about the foreseeable growth of the intensity of research displayed by classes of methods supporting different functions in Product Planning. As the data, emerging from the application of S-curves, indicate no preferential direction in the medium term, other phenomena are monitored that might overturn the conventional systematic course of action to design in the early stages. The ‘trial-and-error’ learning approach characterising agile strategies can be seen as a partial answer to the expected demise of research about Product Planning. Beyond these conclusions, the paper includes a frame of reference that classifies Product Planning methods (adequately reviewed) beyond the classical distinction between responsive and proactive approaches
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