Towards modeling of resilience dynamics in manufacturing enterprises: Literature review and problem formulation

Hu Yao; Li Jingshan; Holloway E. Lawrence Prof.

doi:10.1109/COASE.2008.4626539

Towards modeling of resilience dynamics in manufacturing enterprises: Literature review and problem formulation

Hu Yao
, Li Jingshan
, Holloway E. Lawrence Prof.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

30 Citations (Scopus)

Abstract

This papers studies modeling of resilience in manufacturing enterprises. Although many case studies have been carried out to address resilience in organizations, a systematic method to model and analyze the resilience dynamics in manufacturing enterprises is not well developed. After reviewing the recent literature addressing resilience, a modeling framework is presented to characterize the resilience of a manufacturing enterprise responding to disruptive events. A network model with interconnected suppliers, producers, customers and transportation links is introduced, and relevant problems are formulated. ©2008 IEEE.

Original language	English
Title of host publication	4th IEEE Conference on Automation Science and Engineering, CASE 2008
Pages	279-284
DOIs	https://doi.org/10.1109/COASE.2008.4626539
Publication status	Published - 2008
Externally published	Yes
Event	4th IEEE Conference on Automation Science and Engineering, CASE 2008 - Washington, DC, United States Duration: 23 Aug 2008 → 26 Aug 2008

Publication series

Name	4th IEEE Conference on Automation Science and Engineering, CASE 2008

Conference

Conference	4th IEEE Conference on Automation Science and Engineering, CASE 2008
Place	United States
City	Washington, DC
Period	23/08/08 → 26/08/08

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Research Keywords

Disruptive event
Manufacturing enterprise
Network
Nodes
Resilience

Access Output

10.1109/COASE.2008.4626539

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

Yao, H., Jingshan, L., & Lawrence Prof., H. E. (2008). Towards modeling of resilience dynamics in manufacturing enterprises: Literature review and problem formulation. In 4th IEEE Conference on Automation Science and Engineering, CASE 2008 (pp. 279-284). Article 4626539 (4th IEEE Conference on Automation Science and Engineering, CASE 2008). https://doi.org/10.1109/COASE.2008.4626539

@inproceedings{7b380841fb1e44e586d9430e09eb5a4d,

title = "Towards modeling of resilience dynamics in manufacturing enterprises: Literature review and problem formulation",

abstract = "This papers studies modeling of resilience in manufacturing enterprises. Although many case studies have been carried out to address resilience in organizations, a systematic method to model and analyze the resilience dynamics in manufacturing enterprises is not well developed. After reviewing the recent literature addressing resilience, a modeling framework is presented to characterize the resilience of a manufacturing enterprise responding to disruptive events. A network model with interconnected suppliers, producers, customers and transportation links is introduced, and relevant problems are formulated. {\textcopyright}2008 IEEE.",

keywords = "Disruptive event, Manufacturing enterprise, Network, Nodes, Resilience",

author = "Hu Yao and Li Jingshan and \{Lawrence Prof.\}, \{Holloway E.\}",

note = "Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].; 4th IEEE Conference on Automation Science and Engineering, CASE 2008 ; Conference date: 23-08-2008 Through 26-08-2008",

year = "2008",

doi = "10.1109/COASE.2008.4626539",

language = "English",

isbn = "9781424420230",

series = "4th IEEE Conference on Automation Science and Engineering, CASE 2008",

pages = "279--284",

booktitle = "4th IEEE Conference on Automation Science and Engineering, CASE 2008",

}

Yao, H, Jingshan, L & Lawrence Prof., HE 2008, Towards modeling of resilience dynamics in manufacturing enterprises: Literature review and problem formulation. in 4th IEEE Conference on Automation Science and Engineering, CASE 2008., 4626539, 4th IEEE Conference on Automation Science and Engineering, CASE 2008, pp. 279-284, 4th IEEE Conference on Automation Science and Engineering, CASE 2008, Washington, DC, United States, 23/08/08. https://doi.org/10.1109/COASE.2008.4626539

Towards modeling of resilience dynamics in manufacturing enterprises: Literature review and problem formulation. / Yao, Hu; Jingshan, Li; Lawrence Prof., Holloway E.
4th IEEE Conference on Automation Science and Engineering, CASE 2008. 2008. p. 279-284 4626539 (4th IEEE Conference on Automation Science and Engineering, CASE 2008).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Towards modeling of resilience dynamics in manufacturing enterprises

T2 - 4th IEEE Conference on Automation Science and Engineering, CASE 2008

AU - Yao, Hu

AU - Jingshan, Li

AU - Lawrence Prof., Holloway E.

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 2008

Y1 - 2008

N2 - This papers studies modeling of resilience in manufacturing enterprises. Although many case studies have been carried out to address resilience in organizations, a systematic method to model and analyze the resilience dynamics in manufacturing enterprises is not well developed. After reviewing the recent literature addressing resilience, a modeling framework is presented to characterize the resilience of a manufacturing enterprise responding to disruptive events. A network model with interconnected suppliers, producers, customers and transportation links is introduced, and relevant problems are formulated. ©2008 IEEE.

AB - This papers studies modeling of resilience in manufacturing enterprises. Although many case studies have been carried out to address resilience in organizations, a systematic method to model and analyze the resilience dynamics in manufacturing enterprises is not well developed. After reviewing the recent literature addressing resilience, a modeling framework is presented to characterize the resilience of a manufacturing enterprise responding to disruptive events. A network model with interconnected suppliers, producers, customers and transportation links is introduced, and relevant problems are formulated. ©2008 IEEE.

KW - Disruptive event

KW - Manufacturing enterprise

KW - Network

KW - Nodes

KW - Resilience

UR - https://www.scopus.com/pages/publications/54949083935

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-54949083935&origin=recordpage

U2 - 10.1109/COASE.2008.4626539

DO - 10.1109/COASE.2008.4626539

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781424420230

T3 - 4th IEEE Conference on Automation Science and Engineering, CASE 2008

SP - 279

EP - 284

BT - 4th IEEE Conference on Automation Science and Engineering, CASE 2008

Y2 - 23 August 2008 through 26 August 2008

ER -

Towards modeling of resilience dynamics in manufacturing enterprises: Literature review and problem formulation

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Research Keywords

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Cite this