Eliciting and Analysing Subjective Data about Engineering Design

Stauffer, Larry A.; Diteman, Michele; Hyde, Reva Slaughterbeck

doi:10.1080/09544829108901691

Cited by 11 publications

(6 citation statements)

References 14 publications

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“…The major issue is how to capture the designer's understanding of the information provided in response to the questions helshe has about the original design. There are several techniques currently being used in design research to elicit data, such as observations, questions, retrospective protocols and real-time protocols [13]. Looking at the general areas of applications of each of these techniques, real-time protocol seems to give the best details of design activities.…”

Section: Research Approachmentioning

confidence: 99%

An Experimental Evaluation of Design Information Reuse During Conceptual Design

Khadilkar

Stauffer

1996

Journal of Engineering Design

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This paperpresena the results of an experimental case study conducted to evaluate the reuse of design information during the conceptual design phase. The goal of this study was to determine the usefulness of design histoy information and to establish the need for providing the conceptual level design information for future use. Five design engineers were given a task of product redesign to satisfy new customer requirements. The scope of the redesign was limited to generating new concept(s) using the old design information. W e found that about 50% of the queries made by the subjects were related to the conceptual stage information from the past design effort. W e also found that about 70% of the old design information was useful during redesign.

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Section: Research Approachmentioning

confidence: 99%

An Experimental Evaluation of Design Information Reuse During Conceptual Design

Khadilkar

Stauffer

1996

Journal of Engineering Design

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“…To identify the activities, content analysis of the transcripts was undertaken. The purpose of content analysis was to de®ne categories of interest and then assign the syntactic data to them, the many words in the gathered data (the transcripts) being transferred into many fewer categories of meaning (the activities) [21]. To gain an initial orientation for the content analysis, use was made of a number of previous studies [19,20,22,23] that generated a variety of activity categories for the engineering design process.…”

Section: Discussionmentioning

confidence: 99%

“…A further reliability check of categories referred to accuracy. Accuracy is assessed by comparing the results of one coder with an established norm [21]. As an`established norm', the results of a study by Dwarakanath and Wallace [27] were used.…”

Section: Reliability Of Activity Categoriesmentioning

confidence: 99%

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Decision making in conceptual engineering design: An empirical investigation

Girod

Elliott

Burns

et al. 2003

Proceedings of the Institution of Mechanical Engineers, Part B:

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This paper describes the aims, methodology and results of an empirical research project. The aim was to gather new insight about how collaborative decision-making processes in the conceptual engineering design phase of the product development process takes place. The insight contributes to bridging the gap between the theoretical development of new decision-making methods in academia and the needs of practitioners. The researchers observed, recorded and transcribed three workshops involving groups that were engaged in the collaborative decision-making processes. Through analysing the transcripts, a set of decision-making related activities was identi®ed. Each activity's time consumption was quanti®ed, and a number of decision-making process models at di erent levels of detail were developed. During this analysis, various observations on particular process characteristics were made. It was observed that generating formal structures and documentation was bene®cial to the decision-making process. This was particularly true with respect to developing problem understanding and consistency. The outcomes should be valuable for the design and development of improved decision-support systems.

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“…Analysing the user feedback, it has been realised that a quantitative approach for measuring the system effectiveness was not possible. Instead the following qualitative aspects have been considered, based on a similar evaluation for knowledge elicitation methods in engineering design (Stauffer et al, 1991):…”

Section: Installation and Evaluationmentioning

confidence: 99%

The application of case based reasoning to decision support in new product development

Belecheanu

Pawar

Barson

et al. 2003

Integrated Manufacturing Systems

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This paper describes the application of case based reasoning (CBR) to decision support for design managers and engineers during the early phases of new product development projects, in a concurrent engineering environment. The paper discusses the rationale of using CBR, emphasising its suitability for ill‐defined, unstructured problems, in comparison with traditional knowledge‐based systems. The overall research approach is presented, the importance of case collection, case base maintenance and user training is highlighted and the pre‐requisites for effective use of the system are discussed. Finally, the benefits and costs of the CBR system, as perceived by the user companies, are discussed. The experimental nature of the approach is emphasised and it is shown that the industrial environment for which the system is designed and in which it is used has great bearing on its capability.

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Eliciting and Analysing Subjective Data about Engineering Design

Cited by 11 publications

References 14 publications

An Experimental Evaluation of Design Information Reuse During Conceptual Design

An Experimental Evaluation of Design Information Reuse During Conceptual Design

Decision making in conceptual engineering design: An empirical investigation

The application of case based reasoning to decision support in new product development

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