Defining system boundaries in change propagation analysis: A diesel engine case study

Edwin C.Y. Koh; Nicholas H.M. Caldwell; P. John Clarkson

Defining system boundaries in change propagation analysis: A diesel engine case study

Edwin C.Y. Koh^*, Nicholas H.M. Caldwell, P. John Clarkson

^*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

1 Citation (Scopus)

Abstract

This paper explores how change propagation analysis can be affected by the way system boundaries are defined. This is an important issue as engineering change can in reality propagate out of the system modelled and back through components that were not considered. The work builds on a diesel engine case study to examine the difference in analysis results generated based on a full system model (i.e. entire engine) and those generated based on a set of partial system models (e.g. sub-assemblies). It was found that partial system models with boundaries defined by physical sub-assemblies can produce analysis results that are highly correlated with the one produced using a full system model. It was also revealed that modelling more components (i.e. a more complete system model) does not necessarily increase the level of correlation. The findings can be used to support system boundary decisions in change propagation analysis.

Original language	English
Title of host publication	Proceedings of the 20th International Dependency and Structure Modeling Conference, DSM 2018
Editors	Lucia Becerril, Carlo Leardi, Tyson R. Browning, Steven D. Eppinger
Pages	81-91
Number of pages	11
ISBN (Electronic)	9783000574924
Publication status	Published - 2018
Externally published	Yes
Event	20th International Dependency and Structure Modeling Conference, DSM 2018 - Trieste, Italy Duration: 15 Oct 2018 → 17 Oct 2018

Conference

Conference	20th International Dependency and Structure Modeling Conference, DSM 2018
Country/Territory	Italy
City	Trieste
Period	15/10/18 → 17/10/18

Keywords

Change propagation
Changeability
System boundaries

Cite this

@inproceedings{8624ac6e2729475eb2e46fbd25e6b7c2,

title = "Defining system boundaries in change propagation analysis: A diesel engine case study",

abstract = "This paper explores how change propagation analysis can be affected by the way system boundaries are defined. This is an important issue as engineering change can in reality propagate out of the system modelled and back through components that were not considered. The work builds on a diesel engine case study to examine the difference in analysis results generated based on a full system model (i.e. entire engine) and those generated based on a set of partial system models (e.g. sub-assemblies). It was found that partial system models with boundaries defined by physical sub-assemblies can produce analysis results that are highly correlated with the one produced using a full system model. It was also revealed that modelling more components (i.e. a more complete system model) does not necessarily increase the level of correlation. The findings can be used to support system boundary decisions in change propagation analysis.",

keywords = "Change propagation, Changeability, System boundaries",

author = "Koh, {Edwin C.Y.} and Caldwell, {Nicholas H.M.} and Clarkson, {P. John}",

year = "2018",

language = "English",

pages = "81--91",

editor = "Lucia Becerril and Carlo Leardi and Browning, {Tyson R.} and Eppinger, {Steven D.}",

booktitle = "Proceedings of the 20th International Dependency and Structure Modeling Conference, DSM 2018",

note = "20th International Dependency and Structure Modeling Conference, DSM 2018 ; Conference date: 15-10-2018 Through 17-10-2018",

}

Koh, ECY, Caldwell, NHM & Clarkson, PJ 2018, Defining system boundaries in change propagation analysis: A diesel engine case study. in L Becerril, C Leardi, TR Browning & SD Eppinger (eds), Proceedings of the 20th International Dependency and Structure Modeling Conference, DSM 2018. pp. 81-91, 20th International Dependency and Structure Modeling Conference, DSM 2018, Trieste, Italy, 15/10/18.

Defining system boundaries in change propagation analysis: A diesel engine case study. / Koh, Edwin C.Y.; Caldwell, Nicholas H.M.; Clarkson, P. John.
Proceedings of the 20th International Dependency and Structure Modeling Conference, DSM 2018. ed. / Lucia Becerril; Carlo Leardi; Tyson R. Browning; Steven D. Eppinger. 2018. p. 81-91.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Defining system boundaries in change propagation analysis

T2 - 20th International Dependency and Structure Modeling Conference, DSM 2018

AU - Koh, Edwin C.Y.

AU - Caldwell, Nicholas H.M.

AU - Clarkson, P. John

PY - 2018

Y1 - 2018

N2 - This paper explores how change propagation analysis can be affected by the way system boundaries are defined. This is an important issue as engineering change can in reality propagate out of the system modelled and back through components that were not considered. The work builds on a diesel engine case study to examine the difference in analysis results generated based on a full system model (i.e. entire engine) and those generated based on a set of partial system models (e.g. sub-assemblies). It was found that partial system models with boundaries defined by physical sub-assemblies can produce analysis results that are highly correlated with the one produced using a full system model. It was also revealed that modelling more components (i.e. a more complete system model) does not necessarily increase the level of correlation. The findings can be used to support system boundary decisions in change propagation analysis.

AB - This paper explores how change propagation analysis can be affected by the way system boundaries are defined. This is an important issue as engineering change can in reality propagate out of the system modelled and back through components that were not considered. The work builds on a diesel engine case study to examine the difference in analysis results generated based on a full system model (i.e. entire engine) and those generated based on a set of partial system models (e.g. sub-assemblies). It was found that partial system models with boundaries defined by physical sub-assemblies can produce analysis results that are highly correlated with the one produced using a full system model. It was also revealed that modelling more components (i.e. a more complete system model) does not necessarily increase the level of correlation. The findings can be used to support system boundary decisions in change propagation analysis.

KW - Change propagation

KW - Changeability

KW - System boundaries

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M3 - Conference contribution

AN - SCOPUS:85060643301

SP - 81

EP - 91

BT - Proceedings of the 20th International Dependency and Structure Modeling Conference, DSM 2018

A2 - Becerril, Lucia

A2 - Leardi, Carlo

A2 - Browning, Tyson R.

A2 - Eppinger, Steven D.

Y2 - 15 October 2018 through 17 October 2018

ER -

Defining system boundaries in change propagation analysis: A diesel engine case study

Abstract

Conference

Keywords

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