Quantitative models for managing supply chain risks: A review
By Behnam Fahimnia, Christopher S. Tang, H. Davarzani, Joseph Sarkis. European Journal of Operational Research, 2015
465 citations recorded by the source corpus.
Subfields: Management Information Systems, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/a7611775d490d287ea60847798bc6b523ffbf766
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
- Armin Jabbarzadeh
- Behnam Fahimnia
- Fatemeh Sabouhi
- Mark Stevenson
- Yiyi Fan
- Lipan Feng
- Song Xu
In Strategy and Management
- Dmitry A. Ivanov
- Behnam Fahimnia
- Armin Jabbarzadeh
- Fatemeh Sabouhi
- Joseph Sarkis
- Mehrdokht Pournader
- Stefan Seuring
- S. C. Lenny Koh
Citations in the corpus
- Supply chain risk management and artificial intelligence: state of the art and future research directions (2018, unknown): “As illustrated in Figure 2, the trend of publishing AI-related research in SCRM confirms the results of previous surveys (e.g. Fahimnia et al. 2015), with a roughly geometric growth, from less than 5 studies before 2002 to more than 30 studies in 2014, fuelled by worldwide phenomena that have a…”
- Blockchain applications in supply chains, transport and logistics: a systematic review of the literature (2019, methodology): “It should be noted that in the case of blockchain publications on supply chain logistics and transport, the keyword selection and filtering was less complicated than in more developed knowledge areas in supply chain logistics and transport (e.g., see Davarzani et al. 2016; Fahimnia et al. 2015).”
- Blockchain technology and its relationships to sustainable supply chain management (2018, background): “Natural and man-made disasters threaten the performance of supply chains and solution techniques are required to control and mitigate supply chain risks (Heckmann, Comes, and Nickel 2015; Fahimnia et al. 2015).”
- A review of supply chain risk management: definition, theory, and research agenda (2018, methodology): “…size and scope apply to these SLRs, which have either been based on a limited number of articles, e.g. 55 articles in Colicchia and Strozzi (2012) and 86 articles in Kilubi (2016), or had a narrow focus, e.g. on price risk (Fischl et al., 2014) or quantitative models (Fahimnia et al., 2015).”
- Low-Certainty-Need (LCN) supply chains: a new perspective in managing disruption risks and resilience (2018, unknown): “…regards to scattered disruptive events resulting in SC structural dynamics (Klibi and Martel 2012, Sodhi and Tang 2012, Ivanov and Sokolov 2013, Fahimnia et al. 2015, Ho et al. 2015, Snyder et al. 2016, Chen et al. 2017, Jain et al. 2017, Behzadi et al. 2017, 2018, Dolgui et al. 2018, He et…”
- Risk assessment and risk management: Review of recent advances on their foundation (2016, background): “Consider as an example the supply chain risk management area, which has quite recently developed from an emerging topic into a growing research field ( Fahimnia, Tang, Davarzani, & Sarkis, 2015 ).”
- Resilient and sustainable supply chain design: sustainability analysis under disruption risks (2018, methodology): “• Optimisation models for investigating environmental policy instruments such as carbon tax and trading mechanisms (Diabat et al. 2013; Fahimnia et al. 2015; Zakeri et al. 2015).”
- Revealing interfaces of supply chain resilience and sustainability: a simulation study (2018, background): “Another important interface of sustainability has been considered in regard to supply chain resilience (Fahimnia et al. 2015; Tukamuhabwa et al. 2015; Fahimnia and Jabbarzadeh 2016).”
- Disruption risks in supply chain management: a literature review based on bibliometric analysis (2020, background): “…Fahimnia, Sarkis, and Davarzani 2015), automotive supply chain (González-Benito, Lannelongue, and Alfaro-Tanco 2013), supply chain risk management (Fahimnia et al. 2015; Colicchia and Strozzi 2012), supply chain resilience (Hosseini, Ivanov, and Dolgui 2019), and supply chain finance (Xu et al.…”