Decomposition analysis of the multidisciplinary coupling in LED System-in-Package design using a DSM and a specification language

Borst, E.C.M. de; Etman, L.F.P.; Gielen, A.W.J.; Hofkamp, A.T.; Rooda, J.E.

doi:10.1007/s00158-016-1397-2

Cited by 4 publications

(1 citation statement)

References 38 publications

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“…Therefore, they developed the dedicated specification language Ψ , which in turn de Borst et al (2016) used to model a LED-System-in-Package. Based on the Ψ-language specification, de Borst et al (2016) automatically generated a DSM displaying the relationships between the approximately 700 response and design parameters ( ≈ 700 ) characterizing the system. Dori et al (2003) developed object-process models which can be described graphically using object-process diagrams and linguistically using the object-process language implemented within the OPCAT tooling.…”

Section: Automated Dsm Generationmentioning

confidence: 99%

Generation of a function-component-parameter multi-domain matrix from structured textual function specifications

et al. 2018

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This study introduces a method to build a multi-domain matrix (MDM), visualizing the intended architecture of a system within the component, function, and parameter domains. The MDM is generated from textual function specifications that are subject to a specific grammatical structure and vocabulary based upon the functional basis and interaction basis as presented in the literature. Two types of functions are distinguished: functions specifying what functionality a particular component provides to another component, and functions specifying the internal working (transformation of flow) of a particular component. The fixed grammar for the specification of the two types of functions allows for the automated derivation of dependencies between components, between functions of components, and between system parameters. A case study on a navigation lock demonstrates that the system architecture generated from function specifications matches the architecture of the real lock system fairly well. As such the method can be used in the early design phase to reveal the product architecture that is embodied in the function specifications of system components. The method may also support modeling of high-definition DSMs of existing engineering systems.

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Section: Automated Dsm Generationmentioning

confidence: 99%

Generation of a function-component-parameter multi-domain matrix from structured textual function specifications

et al. 2018

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Multilevel Flow-Based Markov Clustering for Design Structure Matrices

Wilschut

Etman

Rooda

et al. 2017

Journal of Mechanical Design

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For decomposition and integration of systems, one needs extensive knowledge of system structure. A design structure matrix (DSM) model provides a simple, compact, and visual representation of dependencies between system elements. By permuting the rows and columns of a DSM using a clustering algorithm, the underlying structure of a system can be revealed. In this paper, we present a new DSM clustering algorithm based upon Markov clustering, that is able to cope with the presence of “bus” elements, returns multilevel clusters, is capable of clustering weighted, directed, and undirected DSMs, and allows the user to control the cluster results by tuning only three input parameters. Comparison with two algorithms from the literature shows that the proposed algorithm provides clusterings of similar quality at the expense of less central processing unit (CPU) time.

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Multi-Level Flow-Based Markov Clustering for Design Structure Matrices

Wilschut

Etman

Rooda

et al. 2016

Volume 7: 28th International Conference on Design Theory and Methodology

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For decomposition and integration of systems one requires extensive knowledge on system structure. A Design Structure Matrix (DSM) can provide a simple, compact and visual representation of dependencies between system elements. By permuting the rows and columns of a DSM using a clustering algorithm, the underlying structure of a system can be revealed. In this paper, we present a new DSM clustering algorithm based upon Markov clustering. The developed clustering algorithm is able to cope with the presence of ‘bus’ elements, returns multilevel clusters, is capable of clustering both directed as well as undirected DSMs, and allows the user to control the cluster results by tuning only three input parameters.

show abstract

Decomposition analysis of the multidisciplinary coupling in LED System-in-Package design using a DSM and a specification language

Cited by 4 publications

References 38 publications

Generation of a function-component-parameter multi-domain matrix from structured textual function specifications

Generation of a function-component-parameter multi-domain matrix from structured textual function specifications

Multilevel Flow-Based Markov Clustering for Design Structure Matrices

Multi-Level Flow-Based Markov Clustering for Design Structure Matrices

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