2011
DOI: 10.24908/pceea.v0i0.3769
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A Comparison of Concept Selection in Concept Scoring and Axiomatic Design Methods

Abstract: The appropriate selection of design concepts has a strong influence on product cost, durability, robustness and functionality. Effective tools to identify good design concepts are critical. Different design methodologies have different objectives to aid in making the right decision. Some design methods are complementary, whereas others may provide contradictory results. In this study, two design methods, concept scoring and axiomatic design, are compared for their ability to obtain good design concepts. Concep… Show more

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Cited by 14 publications
(16 citation statements)
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“…Application of AD principles to concept evaluation relies more on technical knowledge, compared to other methods used for evaluation, since the designer reformulates the needs perceived by the customer into the functional requirements [12]. Therefore, this results in an evaluation process based on the fulfilment and independence of functional requirements and may reduce biased personal judgments [7]. However, Axiomatic Design doesn't provide a way to check whether the CNs have been adequately reformulated to FRs.…”
Section: Discussionmentioning
confidence: 99%
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“…Application of AD principles to concept evaluation relies more on technical knowledge, compared to other methods used for evaluation, since the designer reformulates the needs perceived by the customer into the functional requirements [12]. Therefore, this results in an evaluation process based on the fulfilment and independence of functional requirements and may reduce biased personal judgments [7]. However, Axiomatic Design doesn't provide a way to check whether the CNs have been adequately reformulated to FRs.…”
Section: Discussionmentioning
confidence: 99%
“…Secondly, there is a lack of guidelines for incorporating different types of requirements and criteria in concept evaluation. For instance, non-technical requirements are defined as constraints and, as such, are not part of the design matrix (and, consequently, not part of the evaluation) [7]. This exclusion of non-technical requirements can result in unaesthetic and costly products that fail to satisfy customer needs [11].…”
Section: Theoretical Backgroundmentioning
confidence: 99%
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“…There are several ways of obtaining an optimized model configuration out of almost infinite variations such as using Taguchi Method [24], Response Surface Method [25,26], ranked selection method [27,28]. In this study, screening and scoring method is used.…”
Section: Optimum Model Evaluation Methodsmentioning
confidence: 99%