Supply chain redesign for resilience using simulation
By H. Carvalho, A. P. Barroso, V. H. Machado, Susana Garrido Azevedo, Virgilio Cruz-Machado. Computers & industrial engineering, 2012
462 citations recorded by the source corpus.
Subfields: Management Information Systems, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/9b5effec6aea444e9e1f750422ee17362e036751
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Information Systems
- Dmitry A. Ivanov
- Alexandre Dolgui
- Boris V. Sokolov
- Niels Bugert
- Rainer Lasch
- Jacob Lohmer
- J. Stone
- Sima Sabahi
In Strategy and Management
- Dmitry A. Ivanov
- Alexandre Dolgui
- Boris V. Sokolov
- Niels Bugert
- Rainer Lasch
- Jacob Lohmer
- J. Stone
- Sima Sabahi
Citations in the corpus
- Resilience in agri-food supply chains: a critical analysis of the literature and synthesis of a novel framework (2018, background): “…Azevedo et al. (2012), Carvalho et al. (2012a, 2012b), Ponis and Koronis (2012), Carvalho et al. (2012a, 2012b), Barthel and Isendahl (2013), Carvalho et al. (2012a, 2012b), Berle et al. (2011), Rose (2011), Giannakis and Louis (2011), Derissen et al. (2011), Cimellaro et al. (2010),…”
- Literature review on disruption recovery in the supply chain* (2017, methodology): “Carvalho et al. (2012) analysed impacts of transportation disruptions on lead-time and overall costs in an automotive SC using an ARENA-based simulation model. Unnikrishnan and Figliozzi (2011) developed a scenario-based model with an adaptive routing policy. Vahdani et al. (2011) applied fuzzy prog”
- Ripple effect in the supply chain: an analysis and recent literature (2018, background): “BASF built a resilient SC, which is why the economic consequences of the afore-mentioned incident were considerably smaller than expected (BASF 2017).”
- Firm innovation and supply chain resilience: a dynamic capability perspective (2020, background): “In today’s unpredictable and turbulent environment, every enterprise in the supply chain is at risk of disruption (Knemeyer, Zinn, and Eroglu 2009; Ponomarov and Holcomb 2009; Carvalho et al. 2012; Soni, Jain, and Kumar 2014; Fiksel et al. 2015).”
- Analysis of resilience strategies and ripple effect in blockchain-coordinated supply chains: An agent-based simulation study (2020, methodology): “Several authors then evaluated the resilience of various industry-specific supply chain models using simulation (Carvalho et al., 2012; Munoz and Dun-bar, 2015; Spiegler et al., 2012) or analytical models (Cardoso et al., 2015; Dixit et al., 2016; Garcia-Herreros et al., 2014; Zobel and Khansa,…”
- Revealing interfaces of supply chain resilience and sustainability: a simulation study (2018, background): “Carvalho et al. (2012) analyse a four-stage supply chain based on the real case study of a Portuguese automotive supply chain.”