Concept Generation Through Morphological and Options Matrices

George, Dani Joseph

doi:10.1007/978-81-322-1050-4_16

Cited by 5 publications

(3 citation statements)

References 14 publications

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“…One challenge with morphological analysis is determining what means are available to combine in the resulting whole solution ideas [98,99]. Approaches include systematic combinations of all means, random combinations of means, and intelligent combinations of means [100]. As tradeoffs exist for each of these approaches, there is a gap in the literature with regard to a clear approach to teach beginning designers.…”

Section: Introductionmentioning

confidence: 99%

Comparing Ideation Techniques for Beginning Designers

Daly

Seifert

Yılmaz

et al. 2016

Journal of Mechanical Design

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Concept generation techniques can help to support designers in generating multiple ideas during design tasks. However, differences in the ways these techniques guide idea generation are not well understood. This study investigated the qualities of concepts generated by beginning engineering designers using one of three different idea generation techniques. Working individually on an open-ended engineering design problem, 102 first year engineering students learned and applied one of three different ideation techniques—design heuristics, morphological analysis, or individual brainstorming (using brainstorming rules to generate ideas working alone)—to a given design problem. Using the consensual assessment technique, all concepts were rated for creativity, elaboration, and practicality, and all participants' concept sets were rated for quantity and diversity. The simplest technique, individual brainstorming, led to the most concepts within the short (25 minute) ideation session. All three techniques produced creative concepts averaging near the scale midpoint. The elaboration of the concepts was significantly higher with design heuristics and morphological analysis techniques, and the practicality was significantly higher using design heuristics. Controlling for number of concepts generated, there were no significant differences in diversity of solution sets across groups. These results demonstrate that the use of design heuristics does not limit the creativity of ideation outcomes, and helps students to develop more elaborate and practical ideas. Design heuristics show advantages in the initial idea generation phase for beginning engineering students. These findings point to specific strengths in different ideation techniques, and the value of exposing beginning designers to multiple techniques for idea generation.

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Section: Introductionmentioning

confidence: 99%

Comparing Ideation Techniques for Beginning Designers

Daly

Seifert

Yılmaz

et al. 2016

Journal of Mechanical Design

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“…A powerful combinatorial tool, it utilizes the principles of morphological thinking to guide the creation of conceptual designs through a systematic combination of all possible combinations of fragments that together can constitute a system [34]. Here a visual exploration of the design space is undertaken with the functions represented as our maintenance 'unit tasks' are listed against the means or solutions to achieve each of those functions in a two dimensional matrix [34].…”

Section: Integrating Automation and Robotics Into Maintenancementioning

confidence: 99%

“…In order to develop fully capable automated systems we need to develop methodologies which can link each of the decomposed 'unit tasks' with some form of automation, be it physical or cognitive. Thankfully engineering design research has resulted in the formulation of a number of systematic methodologies over the past few decades [33,34]. Here we look to the idea of conceptual design, where a list of requirements is abstracted to identify the essential problems of the system [33], and solutions to each of these requirements are chosen to meet these requirements.…”

Section: Integrating Automation and Robotics Into Maintenancementioning

confidence: 99%

Autonomous Maintenance for Through-Life Engineering

Farnsworth

Bell

Khan

et al. 2014

Decision Engineering

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This chapter looks at the overall theme of automating maintenance practices with a particular focus upon the application of robotics within this field. Covering the current state of the art in automating maintenance processes this chapter also looks at the current challenges to moving beyond simple inspection and diagnosis to the design and construction of fully automated platforms for undertaking maintenance. This includes methodologies for capturing and classifying maintenance task processes so that they can be automated in some way and how to link this task classification with some level of automation. The chapter ends with a discussion on how the design process can be adapted to aid automated maintenance, self-healing and no fault found applications.

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