2009
DOI: 10.1115/1.3116253
|View full text |Cite
|
Sign up to set email alerts
|

A Fuzzy Method for Propagating Functional Architecture Constraints to Physical Architecture

Abstract: To cite this version:Eric Bonjour, Samuel Deniaud, Maryvonne Dulmet, Ghassen Harmel. A fuzzy method for propagating functional architecture constraints to physical architecture.. Journal of Mechanical Design, American Society of Mechanical Engineers, 2009, 131 (6) The product domains are mainly composed of three sub domains [1], which are:• Customer expectations and life-cycle requirements,• Functions which are arranged in the functional architecture,• Sub-systems and components which are arranged in the physi… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
12
0

Year Published

2009
2009
2022
2022

Publication Types

Select...
9

Relationship

2
7

Authors

Journals

citations
Cited by 20 publications
(12 citation statements)
references
References 48 publications
0
12
0
Order By: Relevance
“…They are being increasingly used in systems engineering for product modularisation (Stone, Wood, and Crawford 2000;Alizon et al 2007;Ulrich and Eppinger 2008), for designing product platform architectures (Luh, Ko, and Ma 2011;Li et al 2012), for analysing technical interactions either within products (Whitfield, Smith, and Duffy 2002;Bonjour et al 2009;Helmer, Yassine, and Meier 2010) or within the project organisation (Pimmler and Eppinger 1994;Sosa, Eppinger, and Rowles 2003;Arundacahawat, Roy, and Al-Ashaab 2011), for analysing change propagation (Clarkson, Simons, and Eckert 2004;Keller, Eckert, and Clarkson 2009;Fei et al 2011;Cheng and Chu 2012) and for representing the structure of collective design competencies .…”
Section: Systems Architecture Modelling Researchmentioning
confidence: 99%
“…They are being increasingly used in systems engineering for product modularisation (Stone, Wood, and Crawford 2000;Alizon et al 2007;Ulrich and Eppinger 2008), for designing product platform architectures (Luh, Ko, and Ma 2011;Li et al 2012), for analysing technical interactions either within products (Whitfield, Smith, and Duffy 2002;Bonjour et al 2009;Helmer, Yassine, and Meier 2010) or within the project organisation (Pimmler and Eppinger 1994;Sosa, Eppinger, and Rowles 2003;Arundacahawat, Roy, and Al-Ashaab 2011), for analysing change propagation (Clarkson, Simons, and Eckert 2004;Keller, Eckert, and Clarkson 2009;Fei et al 2011;Cheng and Chu 2012) and for representing the structure of collective design competencies .…”
Section: Systems Architecture Modelling Researchmentioning
confidence: 99%
“…While much design research has been carried out into the creation of design concepts through experimental studies or generative systems and modeling methods for both requirements and functional modeling, the process of designing the system architecture of complex products in industry is not yet clearly identified or understood. Based on our own case studies and those published in the literature (Chepko et al, 2008; Bonjour et al, 2009; Albers et al, 2011; Moullec et al, 2013), this paper will argue that there is huge variation in the process of creating a system architecture and the decisions required to define a system architecture, as well as in the support that designers require to do so. The system architecture of a highly innovative one-off product, such as a space shuttle where new technology is employed to meet newly identified functions, is very different from that of mass product incremental products like traditional cars.…”
Section: Introductionmentioning
confidence: 95%
“…While much of the academic research on system architecture, such as (Ziv-Av & Reich, 2005; Bonjour et al, 2009; Hellenbrand et al, 2009; Albers et al, 2011) is concerned with the generation of completely new systems, this is rarely the case in industry, where most products are to a certain extent reusing components, systems, or solution principles. Therefore, the degree of novelty is an obvious dimension of our classification.…”
Section: Classification Of System Architecturesmentioning
confidence: 99%
“…Later stages require designers to select which requirements are suitable for ideation, a task which has had many proposed solutions [3][4][5][6][7]. The subsequent concept Dering MD-17-1178 1 generation phase has been impacted by advancements in automation tools, with many methods available that can generate concepts [8][9][10]. Next, design validation and assessment can be accomplished using semi-automated simulation techniques, such as Computational Fluid Dynamics [11,12]; however, this does not eliminate the need for physical prototyping.…”
Section: Introductionmentioning
confidence: 99%