Change propagation analysis with multilayer network models within manufacturing systems

Hatice Olmez; P. John Clarkson

Change propagation analysis with multilayer network models within manufacturing systems

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

Abstract

Change propagation is undesirable for a manufacturer when a change to one part or component of the system requires additional changes throughout the manufacturing system. The robustness and adaptability are key attributes for a complex system to cope with effects of change. This paper presents a multilayer network model for analysis and management of change propagation. In addition, a combination of Multi Domain Matrix (MDM) and Change Prediction Model (CPM) as system process analyses tools are used to evaluate the risk of change propagation. The objective of the technique is to increase system knowledge at the design stage, to provide insight into the effects of manufacturing change, and to support engineers in decision-making.

Original language	English
Title of host publication	Understand, Innovate, and Manage your Complex System! - Proceedings of the 19th International DSM Conference
Editors	Tyson R. Browning, Steven D. Eppinger, Lucia Becerril, Katja Holtta-Otto
Publisher	The Design Society
Pages	59-69
Number of pages	11
ISBN (Electronic)	9783000574795
Publication status	Published - 2017
Externally published	Yes
Event	19th International Dependency and Structure Modeling Conference, DSM 2017 - Espoo, Finland Duration: 11 Sept 2017 → 13 Sept 2017

Conference

Conference	19th International Dependency and Structure Modeling Conference, DSM 2017
Country/Territory	Finland
City	Espoo
Period	11/09/17 → 13/09/17

Keywords

Change Prediction Method (CPM).
Change Propagation
Multi-Domain matrix(MDM)
Multilayer Network Model

Cite this

@inproceedings{6e2a0acc8b0d4712b5baa8929fc52add,

title = "Change propagation analysis with multilayer network models within manufacturing systems",

abstract = "Change propagation is undesirable for a manufacturer when a change to one part or component of the system requires additional changes throughout the manufacturing system. The robustness and adaptability are key attributes for a complex system to cope with effects of change. This paper presents a multilayer network model for analysis and management of change propagation. In addition, a combination of Multi Domain Matrix (MDM) and Change Prediction Model (CPM) as system process analyses tools are used to evaluate the risk of change propagation. The objective of the technique is to increase system knowledge at the design stage, to provide insight into the effects of manufacturing change, and to support engineers in decision-making.",

keywords = "Change Prediction Method (CPM)., Change Propagation, Multi-Domain matrix(MDM), Multilayer Network Model",

author = "Hatice Olmez and Clarkson, {P. John}",

year = "2017",

language = "English",

pages = "59--69",

editor = "Browning, {Tyson R.} and Eppinger, {Steven D.} and Lucia Becerril and Katja Holtta-Otto",

booktitle = "Understand, Innovate, and Manage your Complex System! - Proceedings of the 19th International DSM Conference",

publisher = "The Design Society",

note = "19th International Dependency and Structure Modeling Conference, DSM 2017 ; Conference date: 11-09-2017 Through 13-09-2017",

}

Olmez, H & Clarkson, PJ 2017, Change propagation analysis with multilayer network models within manufacturing systems. in TR Browning, SD Eppinger, L Becerril & K Holtta-Otto (eds), Understand, Innovate, and Manage your Complex System! - Proceedings of the 19th International DSM Conference. The Design Society, pp. 59-69, 19th International Dependency and Structure Modeling Conference, DSM 2017, Espoo, Finland, 11/09/17.

Change propagation analysis with multilayer network models within manufacturing systems. / Olmez, Hatice; Clarkson, P. John.
Understand, Innovate, and Manage your Complex System! - Proceedings of the 19th International DSM Conference. ed. / Tyson R. Browning; Steven D. Eppinger; Lucia Becerril; Katja Holtta-Otto. The Design Society, 2017. p. 59-69.

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

TY - GEN

T1 - Change propagation analysis with multilayer network models within manufacturing systems

AU - Olmez, Hatice

AU - Clarkson, P. John

PY - 2017

Y1 - 2017

N2 - Change propagation is undesirable for a manufacturer when a change to one part or component of the system requires additional changes throughout the manufacturing system. The robustness and adaptability are key attributes for a complex system to cope with effects of change. This paper presents a multilayer network model for analysis and management of change propagation. In addition, a combination of Multi Domain Matrix (MDM) and Change Prediction Model (CPM) as system process analyses tools are used to evaluate the risk of change propagation. The objective of the technique is to increase system knowledge at the design stage, to provide insight into the effects of manufacturing change, and to support engineers in decision-making.

AB - Change propagation is undesirable for a manufacturer when a change to one part or component of the system requires additional changes throughout the manufacturing system. The robustness and adaptability are key attributes for a complex system to cope with effects of change. This paper presents a multilayer network model for analysis and management of change propagation. In addition, a combination of Multi Domain Matrix (MDM) and Change Prediction Model (CPM) as system process analyses tools are used to evaluate the risk of change propagation. The objective of the technique is to increase system knowledge at the design stage, to provide insight into the effects of manufacturing change, and to support engineers in decision-making.

KW - Change Prediction Method (CPM).

KW - Change Propagation

KW - Multi-Domain matrix(MDM)

KW - Multilayer Network Model

UR - http://www.scopus.com/inward/record.url?scp=85040121978&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85040121978

SP - 59

EP - 69

BT - Understand, Innovate, and Manage your Complex System! - Proceedings of the 19th International DSM Conference

A2 - Browning, Tyson R.

A2 - Eppinger, Steven D.

A2 - Becerril, Lucia

A2 - Holtta-Otto, Katja

PB - The Design Society

T2 - 19th International Dependency and Structure Modeling Conference, DSM 2017

Y2 - 11 September 2017 through 13 September 2017

ER -

Change propagation analysis with multilayer network models within manufacturing systems

Abstract

Conference

Keywords

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Cite this