Exploring design space in embodiment design with consideration of models accuracy

Perry, Nicolás; Amine, EL Mehdi; Pailhès, Jérôme

doi:10.1016/j.cirp.2015.04.021

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…Also, it is very important to recall the importance of having reference points in order to compare different concepts and prototypes. Having these references empowers the decision making accuracy [12].…”

Section: Design Methodologymentioning

confidence: 99%

Experiences in implementing design heuristics for innovation in product design

Restrepo

Ríos-Zapata

Mejía-Gutiérrez

et al. 2017

Int J Interact Des Manuf

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The aided decision processes are expected to improve the design tasks by the reduction of uncertainty, which is one of the principal aspects that interferes with designer choices. These methods can optimise the problem solution by the time reduction in the iterative decision-cycles that can be based on previous knowledge. This article is based in the utilisation of a knowledge based method in design heuristics, which are defined as a set of procedures that allows both, discovery and acquisition, of a solution for a particular problem by the implementation of a strategy, guided by knowledge derived from the experience. This is applied to design area by the extrapolation of technical or conceptual knowledge that has been previously applied and proven in similar problem-solving processes and providing reference points within designs processes as well. For this reason the research focuses on the development of a design case in order to evaluate the interaction between the user and the guided problem approach. The objective was the analysis between two different design processes by the comparison of the implementation of heuristics based method and conventional design techniques in a design case. The purpose was to compare the outcomes of both experiments, taking as a basis the following setup: The design case proposed was carried out by two different teams, where the first team was instructed to use conventional problem-solving approaches such as Pahl & Beitz and Ulrich & Eppinger and the second one was intended to use the heuristics based method. The design task given to both teams was the development of

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Section: Design Methodologymentioning

confidence: 99%

Experiences in implementing design heuristics for innovation in product design

Restrepo

Ríos-Zapata

Mejía-Gutiérrez

et al. 2017

Int J Interact Des Manuf

Self Cite

View full text Add to dashboard Cite

show abstract

“…In addition, the author proposes to measure the accuracy by determining the distance between the envisaged solution and a reference solution. This measure has been implemented in the study of El amine, M et al [18], along with other subjective indicators called "confidence indicators," in which the author takes into consideration the degradation of the measure proposed by Vernat, Y when the proposed solution moves away from the reference solution.…”

Section: Literature Reviewmentioning

confidence: 99%

Early environmental assessment of products using behavior models and the impact of their inaccuracy on environmental product performance

Bouyarmane¹,

El²,

Sallaou³

2022

FME Transactions

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The decisions made during the preliminary design phases considerably impact the development of a product's lifecycle, acting on its environmental performance, cost, and duration of its realization. However, the lack of relevant information during these phases does not allow for the accurate evaluation of design solutions. In addition, it generates schedule delays and overruns in the budget allocated to developing a given solution. In this perspective, the present work aims to assess the accuracy of the behavior models used for exploring solutions during the embodiment phase. This was based on two measures of different nature, namely objective accuracy, which is evaluated by referring to real prototyping of a given solution, and the subjective accuracy measure, which allows to the expression of the degradation of the first measure in relation to the reference point. This combination will lead to a measure that can be generalized on all the design space. In a second step, the current work suggests an estimation of the effect of these models' accuracy on the proposed solutions' environmental impact. To this end, a sensitivity study was carried out on the input data of the model (design parameters) in order to deduce the effect of the results obtained (performance parameters) on the mass and, consequently, the environmental impact of the solution. In order to highlight the approach adopted in the present study, it was applied to a real industrial case, ultimately leading to the most optimized solution in terms of accuracy and environmental impact.

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