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language:"eng"
subject:"Supply chain"
~isPartOf:"Decision sciences"
~person:"Govindan, Kannan"
~subject:"Theory"
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Transportation research / E : an international journal
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Innovative supply chain optimization models with multiple uncertainty factors
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Data-driven rolling horizon approach for dynamic design of supply chain distribution networks under disruption and demand uncertainty
Fattahi, Mohammad
;
Govindan, Kannan
- In:
Decision sciences
53
(
2022
)
1
,
pp. 150-180
Persistent link: https://www.econbiz.de/10013164982
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