A Supply Chain Mapping Framework for Resilience Modeling

Helena Maria Lourenço Carvalho; Virgílio António Cruz Machado

A Supply Chain Mapping Framework for Resilience Modeling

Helena Maria Lourenço Carvalho, Virgílio António Cruz Machado

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Supply chains may experience instability induced by disturbances such as extremeclimate conditions or accidents. It is crucial that organizations and respective supplychains become more resilient to those events, having the ability to return quickly to itsoriginal state or move to a new one, more desirable, after being disturbed. This paperpresents a supply chain mapping framework with the following objectives: (i)understand the supply chain network, i.e., identify the current supply chain operationstate; (ii) identify possible transition states; and (iii) identify vulnerability points.

Original language	English
Title of host publication	Proceedings of the 17th International Annual EurOMA Conference, "Managing Operations in Service Economies"
Publication status	Published - 2010
Event	17th International Annual EurOMA Conference - Porto, Portugal Duration: 6 Jun 2010 → 9 Jun 2010

Conference

Conference	17th International Annual EurOMA Conference
Country/Territory	Portugal
City	Porto
Period	6/06/10 → 9/06/10

Cite this

@inproceedings{12364f789a7d408cb92ba68ab88b1e3b,

title = "A Supply Chain Mapping Framework for Resilience Modeling",

abstract = "Supply chains may experience instability induced by disturbances such as extremeclimate conditions or accidents. It is crucial that organizations and respective supplychains become more resilient to those events, having the ability to return quickly to itsoriginal state or move to a new one, more desirable, after being disturbed. This paperpresents a supply chain mapping framework with the following objectives: (i)understand the supply chain network, i.e., identify the current supply chain operationstate; (ii) identify possible transition states; and (iii) identify vulnerability points.",

author = "Carvalho, {Helena Maria Louren{\c c}o} and Machado, {Virg{\'i}lio Ant{\'o}nio Cruz}",

year = "2010",

language = "English",

booktitle = "Proceedings of the 17th International Annual EurOMA Conference, {"}Managing Operations in Service Economies{"}",

note = "17th International Annual EurOMA Conference ; Conference date: 06-06-2010 Through 09-06-2010",

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TY - GEN

T1 - A Supply Chain Mapping Framework for Resilience Modeling

AU - Carvalho, Helena Maria Lourenço

AU - Machado, Virgílio António Cruz

PY - 2010

Y1 - 2010

N2 - Supply chains may experience instability induced by disturbances such as extremeclimate conditions or accidents. It is crucial that organizations and respective supplychains become more resilient to those events, having the ability to return quickly to itsoriginal state or move to a new one, more desirable, after being disturbed. This paperpresents a supply chain mapping framework with the following objectives: (i)understand the supply chain network, i.e., identify the current supply chain operationstate; (ii) identify possible transition states; and (iii) identify vulnerability points.

AB - Supply chains may experience instability induced by disturbances such as extremeclimate conditions or accidents. It is crucial that organizations and respective supplychains become more resilient to those events, having the ability to return quickly to itsoriginal state or move to a new one, more desirable, after being disturbed. This paperpresents a supply chain mapping framework with the following objectives: (i)understand the supply chain network, i.e., identify the current supply chain operationstate; (ii) identify possible transition states; and (iii) identify vulnerability points.

M3 - Conference contribution

BT - Proceedings of the 17th International Annual EurOMA Conference, "Managing Operations in Service Economies"

T2 - 17th International Annual EurOMA Conference

Y2 - 6 June 2010 through 9 June 2010

ER -

A Supply Chain Mapping Framework for Resilience Modeling

Abstract

Conference

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