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Wojciech Tarnowski

Bio: Wojciech Tarnowski is an academic researcher. The author has contributed to research in topics: Engineering design process & Design process. The author has an hindex of 1, co-authored 1 publications receiving 90 citations.

Papers
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Book ChapterDOI
01 Jan 1986
TL;DR: Three model structures are proposed: the macro-st structure, the micro-structure and the model of decomposition in designing, which permit a full description of the structure of the real design process and they can be used in superposition.
Abstract: The notion of the design process structure is given, as well as the reasons for analysis and synthesis of the structure. There are proposed three model structures: the macro-structure, the micro-structure and the model of decomposition in designing. They describe three different approaches to the design process. They are of a wide generality and, where appropriate, they permit a full description of the structure of the real design process, and they can be used in superposition.

90 citations


Cited by
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Journal ArticleDOI
TL;DR: There are a set of invariant features in the problem spaces of design situations that collectively constitute a design problem space, according to the claim that there are important generalizations about problem solving in design activity that reach across specific disciplines.

572 citations

Journal ArticleDOI
TL;DR: The development and application of a methodology that uses protocol studies of designers engaged in design to investigate the process of designing is described and results are shown that illustrate the utility of this approach in gaining some insight into how designers design.

509 citations

Journal ArticleDOI
TL;DR: The benefits derived by combining parametric modeling and genetic algorithms to achieve a performance oriented process in design, with specific focus on architectural design are discussed, and ParaGen is presented as a tool to support the exploration of the parametric design alternatives.

308 citations

Proceedings ArticleDOI
07 May 2009
TL;DR: This paper analyzes the mutual nesting of practical problems and knowledge problems, derives some methodological guidelines from this for design science researchers, and gives an example of a design science project following this problem nesting.
Abstract: Design science emphasizes the connection between knowledge and practice by showing that we can produce scientific knowledge by designing useful things. However, without further guidelines, aspiring design science researchers tend to identify practical problems with knowledge questions, which may lead to methodologically unsound research designs. To solve a practical problem, the real world is changed to suit human purposes, but to solve a knowledge problem, we acquire knowledge about the world without necessarily changing it. In design science, these two kinds of problems are mutually nested, but this nesting should not blind us for the fact that their problem-solving and solution justification methods are different. This paper analyzes the mutual nesting of practical problems and knowledge problems, derives some methodological guidelines from this for design science researchers, and gives an example of a design science project following this problem nesting.

303 citations

Journal ArticleDOI
TL;DR: This article makes a preliminary attempt to differentiate design problem solving from nondesign problem solving by identifying major invariants in the design problem space.
Abstract: The notion of generic design, although it has been around for 25 years, is not often articulated; such is especially true within Newell and Simon's (1972) information-processing theory (IPT) framework. Design is merely lumped in with other forms of problem-solving activity. Intuitively, one feels there should be a level of description of the phenomenon that refines this broad classification by further distinguishing between design and nondesign problem solving. However, IPT does not facilitate such problem classification. This article makes a preliminary attempt to differentiate design problem solving from nondesign problem solving by identifying major invariants in the design problem space.

221 citations