TY - GEN
T1 - Improving data quality in DSM modelling
T2 - 18th International Conference on Engineering Design, ICED 11
AU - F-Schmitz, Steffen
AU - Wynn, David C.
AU - Biedermann, Wieland
AU - Clarkson, P. John
AU - Lindemann, Udo
PY - 2011
Y1 - 2011
N2 - The Dependency Structure Matrix (DSM) has proved to be a useful tool for system structure elicitation and analysis. However, as with any modelling approach, the insights gained from analysis are limited by the quality and correctness of input information. This paper explores how the quality of data in a DSM can be enhanced by elicitation methods which include comparison of information acquired from different perspectives and levels of abstraction. The approach is based on comparison of dependencies according to their structural importance. It is illustrated through two case studies: creation of a DSM showing the spatial connections between elements in a product, and a DSM capturing information flows in an organisation. We conclude that considering structural criteria can lead to improved data quality in DSM models, although further research is required to fully explore the benefits and limitations of our proposed approach.
AB - The Dependency Structure Matrix (DSM) has proved to be a useful tool for system structure elicitation and analysis. However, as with any modelling approach, the insights gained from analysis are limited by the quality and correctness of input information. This paper explores how the quality of data in a DSM can be enhanced by elicitation methods which include comparison of information acquired from different perspectives and levels of abstraction. The approach is based on comparison of dependencies according to their structural importance. It is illustrated through two case studies: creation of a DSM showing the spatial connections between elements in a product, and a DSM capturing information flows in an organisation. We conclude that considering structural criteria can lead to improved data quality in DSM models, although further research is required to fully explore the benefits and limitations of our proposed approach.
KW - Design structure matrix
KW - Knowledge elicitation
KW - Structural similarity
UR - http://www.scopus.com/inward/record.url?scp=84858802966&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84858802966
SN - 9781904670247
T3 - ICED 11 - 18th International Conference on Engineering Design - Impacting Society Through Engineering Design
SP - 369
EP - 380
BT - ICED 11 - 18th International Conference on Engineering Design - Impacting Society Through Engineering Design
Y2 - 15 August 2011 through 18 August 2011
ER -