Research output: Contribution to journal › Article › peer-review
Dynamic recovery policies for time-critical supply chains under conditions of ripple effect. / Ivanov, Dmitry; Sokolov, Boris; Solovyeva, Inna; Dolgui, Alexandre; Jie, Ferry.
In: International Journal of Production Research, Vol. 54, No. 23, 01.12.2016, p. 7245-7258.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Dynamic recovery policies for time-critical supply chains under conditions of ripple effect
AU - Ivanov, Dmitry
AU - Sokolov, Boris
AU - Solovyeva, Inna
AU - Dolgui, Alexandre
AU - Jie, Ferry
N1 - Dmitry Ivanov, Boris Sokolov, Inna Solovyeva, Alexandre Dolgui & Ferry Jie. Dynamic recovery policies for time-critical supply chains under conditions of ripple effect // International Journal of Production Research. 2016. Vol. 54. Issue 23. P.7245-7258. DOI 10.1080/00207543.2016.1161253
PY - 2016/12/1
Y1 - 2016/12/1
N2 - We consider time-critical supply chains (SCs) in the Australia dairy industry and recovery policies in the presence of the ripple effect. Ripple effect is the impact of a disruption on SC economic performance and disruption-based scope of changes needed in the supply structures and parameters to preserve the resilience. First, we describe the ripple effect in general and one example of the ripple effect in the dairy SC in Australia. Second, we present a model for reactive recovery policies in the dairy SC under conditions of the ripple effect and exemplify them on a simulation example. The results of this study can be used in future for comparing proactive and reactive approaches in tackling the ripple effect from resilience and flexibility views.
AB - We consider time-critical supply chains (SCs) in the Australia dairy industry and recovery policies in the presence of the ripple effect. Ripple effect is the impact of a disruption on SC economic performance and disruption-based scope of changes needed in the supply structures and parameters to preserve the resilience. First, we describe the ripple effect in general and one example of the ripple effect in the dairy SC in Australia. Second, we present a model for reactive recovery policies in the dairy SC under conditions of the ripple effect and exemplify them on a simulation example. The results of this study can be used in future for comparing proactive and reactive approaches in tackling the ripple effect from resilience and flexibility views.
KW - adaptation
KW - dairy supply chain
KW - positional optimisation
KW - programme control
KW - resilience
KW - ripple effect
UR - http://www.scopus.com/inward/record.url?scp=84961223391&partnerID=8YFLogxK
U2 - 10.1080/00207543.2016.1161253
DO - 10.1080/00207543.2016.1161253
M3 - Article
AN - SCOPUS:84961223391
VL - 54
SP - 7245
EP - 7258
JO - International Journal of Production Research
JF - International Journal of Production Research
SN - 0020-7543
IS - 23
ER -
ID: 9177365