Robust global supply chain network design under disruption and uncertainty considering resilience strategies: A parallel memetic algorithm for a real-life case study

•Robust global supply network design under demand and procurement cost uncertainties.•Flexible and resilience strategies to mitigate the risk of correlated disruptive events.•Efficient parallel Taguchi-based memetic algorithm with a hybrid ALNS.•A real-life case study of a global medical device manu...

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Vydané v:	Transportation research. Part E, Logistics and transportation review Ročník 87; s. 20 - 52
Hlavní autori:	Hasani, Aliakbar, Khosrojerdi, Amirhossein
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Exeter Elsevier India Pvt Ltd 01.03.2016 Elsevier Sequoia S.A
Predmet:	Algorithms Disruption Disruption management Effectiveness studies Fitness landscape analysis Global supply chain network design Heuristic Integer programming Lagrange multiplier Networks Parallel memetic algorithm Resilience Resilience strategies Risk management Robust optimization Strategy Supply chain management Supply chains Taguchi methods Transportation Uncertainty Global supply chain network design Parallel memetic algorithm Robust optimization Disruption management Fitness landscape analysis Resilience strategies
ISSN:	1366-5545, 1878-5794
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