Extensions to the design structure matrix for the description of multidisciplinary design, analysis, and optimization processes
By Andrew B. Lambe, Joaquim R. Martins. Structural And Multidisciplinary Optimization, 2012
525 citations recorded by the source corpus.
Subfields: Industrial and Manufacturing Engineering, Management of Technology and Innovation, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/af328fc513384e317891484d364af0cd1217ae87
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Industrial and Manufacturing Engineering
- Joaquim R. Martins
- John T. Hwang
- Ji-chao Li
- Xiaosong Du
- Charles A. Mader
- Gaetan K. W. Kenway
- Ping He
- Andrew B. Lambe
In Management of Technology and Innovation
- Joaquim R. Martins
- John T. Hwang
- Ji-chao Li
- Xiaosong Du
- Charles A. Mader
- Gaetan K. W. Kenway
- Ping He
- Andrew B. Lambe
In Mechanical Engineering
- Joaquim R. Martins
- John T. Hwang
- Ji-chao Li
- Xiaosong Du
- Charles A. Mader
- Gaetan K. W. Kenway
- Ping He
- Andrew B. Lambe
Citations in the corpus
- A Python surrogate modeling framework with derivatives (2019, methodology): “Extended design structure matrix [31] for the aircraft allocation-mission-design optimization problem that used RMTS [30].”
- Review and Unification of Methods for Computing Derivatives of Multidisciplinary Computational Models (2013, methodology): “For this diagram, we use the extended design structure matrix (XDSM) standard developed by Lambe and Martins [51], which enables the representation of both the data dependency and the procedure for a given algorithm.”
- OpenMDAO: an open-source framework for multidisciplinary design, analysis, and optimization (2019, background): “The applications are listed in Table 13, where we show the extended design structure matrix (XDSM) [62] for each problem and list the design variables, objective functions, and constraints.”
- Machine Learning in Aerodynamic Shape Optimization (2022, methodology): “The data dependencies and process are shown using XDSM [72].”
- Design Structure Matrix Extensions and Innovations: A Survey and New Opportunities (2016, unknown): “Aerospace [13], [41], [42], [52], [53], [75], [76], [98], [308], [315], [340], [342]–[344], [375], [383], [394], [395]”
- Effective adjoint approaches for computational fluid dynamics (2019, methodology): “In an effort to unify the theory for the various methods for computing derivatives, Martins and Hwang [18] derived the unified derivatives equation, which also applies to coupled systems.”
- Multidisciplinary design optimization: A survey of architectures (2013, methodology): “We present a brief overview of theXDSM; for further details, see Lambe and Martins [86].”