File Download
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1109/JSYST.2014.2339552
- Scopus: eid_2-s2.0-85027956476
- WOS: WOS:000355211600006
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: Measuring the Resilience of Supply Chain Systems Using a Survival Model
Title | Measuring the Resilience of Supply Chain Systems Using a Survival Model |
---|---|
Authors | |
Keywords | Cox proportional hazard (Cox-PH) model supply chain supply chain resilience survival analysis |
Issue Date | 2014 |
Publisher | IEEE. |
Citation | IEEE Systems Journal, 2014, v. 9 n. 2, p. 377-381 How to Cite? |
Abstract | Disruptions at any stage of a supply chain system can cause mammoth operational and financial losses to a firm. When there is a disruption with a supply chain system, it is highly desired that the system quickly recover. The ability of recovery is, in short, called resilience. This paper proposes a new measure of the resilience of a supply chain system based on the concept of survival and, subsequently, a survival model [Cox proportional hazard (Cox-PH) model]. The survival model represents a time interval or period from the time the system failed to function to the time the system gets back with its function (i.e., recovery). The input to the model is, thus, a failure event; the output from the model is the recovery time. This model has been implemented. There is a case study to illustrate how the model is used to give a quantitative measurement of resilience, in terms of recovery time. © 2014 IEEE. |
Persistent Identifier | http://hdl.handle.net/10722/211762 |
ISSN | 2023 Impact Factor: 4.0 2023 SCImago Journal Rankings: 1.402 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Raj, R. | - |
dc.contributor.author | Wang, J | - |
dc.contributor.author | Nayak, A | - |
dc.contributor.author | Tiwari, WK | - |
dc.contributor.author | Han, B | - |
dc.contributor.author | Liu, C | - |
dc.contributor.author | Zhang, WJ | - |
dc.date.accessioned | 2015-07-21T02:10:14Z | - |
dc.date.available | 2015-07-21T02:10:14Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | IEEE Systems Journal, 2014, v. 9 n. 2, p. 377-381 | - |
dc.identifier.issn | 1932-8184 | - |
dc.identifier.uri | http://hdl.handle.net/10722/211762 | - |
dc.description.abstract | Disruptions at any stage of a supply chain system can cause mammoth operational and financial losses to a firm. When there is a disruption with a supply chain system, it is highly desired that the system quickly recover. The ability of recovery is, in short, called resilience. This paper proposes a new measure of the resilience of a supply chain system based on the concept of survival and, subsequently, a survival model [Cox proportional hazard (Cox-PH) model]. The survival model represents a time interval or period from the time the system failed to function to the time the system gets back with its function (i.e., recovery). The input to the model is, thus, a failure event; the output from the model is the recovery time. This model has been implemented. There is a case study to illustrate how the model is used to give a quantitative measurement of resilience, in terms of recovery time. © 2014 IEEE. | - |
dc.language | eng | - |
dc.publisher | IEEE. | - |
dc.relation.ispartof | IEEE Systems Journal | - |
dc.subject | Cox proportional hazard (Cox-PH) model | - |
dc.subject | supply chain | - |
dc.subject | supply chain resilience | - |
dc.subject | survival analysis | - |
dc.title | Measuring the Resilience of Supply Chain Systems Using a Survival Model | - |
dc.type | Article | - |
dc.identifier.email | Wang, J: jwwang@hku.hk | - |
dc.identifier.authority | Wang, J=rp01888 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/JSYST.2014.2339552 | - |
dc.identifier.scopus | eid_2-s2.0-85027956476 | - |
dc.identifier.hkuros | 245141 | - |
dc.identifier.volume | 9 | - |
dc.identifier.issue | 2 | - |
dc.identifier.spage | 377 | - |
dc.identifier.epage | 381 | - |
dc.identifier.isi | WOS:000355211600006 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 1932-8184 | - |