This paper presents the development and evaluation of a technique (C‐Sketch) for concept generation in a collaborative engineering design setting. The paper reviews both the intrinsic merit of C‐Sketch, as well as relative merit compared to other techniques in the same class. This analysis is based on results from experiments conducted over five years. Both the process and outcome were evaluated, with greater emphasis on the latter. This study found that C‐Sketch not only has intrinsic merit, but also measures higher in all outcomes when compared to Method 6‐3‐5. Also, C‐Sketch was at least as good as the Gallery Method in the quality of ideas produced and better in variety and novelty of ideas. This paper is a consolidation of all empirical studies related to C‐Sketch.
Developing objective measures for evaluating and measuring the complexity of design would facilitate (1) empirical studies that require the use of equivalent but different design problems, (2) the development of design curriculums, and (3) the comparison of computer aided design automation tools. This paper surveys and evaluates different approaches to defining complexity in design for the design problem, process, and product. Three fundamental aspects to complexity are identified, size, coupling, and solvability, and expanded with respect to the three elements of design, problem, process, and product. Alternative methods for measuring these characteristics of the design are based on computational, information, and traditional design views of complexity. A method of measuring size as it relates to complexity is proposed for measuring the information content of design. A second method is proposed for decomposing a graph-based representation of design that provides a measure of the interconnectedness as it relates to complexity. Finally, two methods are proposed for determining the solvability complexity of design based on the effort involved and the degree of freedom of design. These measures are developed specifically for parametric and geometric problems as found in the embodiment design, but these principles may be applied beyond this.
Case studies are used in design research to analyze a phenomenon, to generate hypotheses, and to validate a method. Though they are used extensively, there appears to be no accepted systematic case study method used by design researchers. Considering its nature and objectives, the case study method could be considered as a suitable method for conducting design research. Many times, design researchers have to confront questions about the validity of using case studies and their results. The objective of this paper is to present a brief overview of case study method, compare it with other qualitative and quantitative research methods, and study the merits and limitations of using the same in design research. Requirements are derived from the general characteristics of design research. Four popular research strategies are evaluated with respect to the requirements. A preliminary benchmark study suggests that case study method is a suitable method for conducting design research.
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