Table 3.
Classification of SC risk and resilience studies based on the main features of BN.
| Article | Objective of article | Scope of article |
Main feature of BN used in the article |
Explanation | ||||
|---|---|---|---|---|---|---|---|---|
| SC risk | SC resilience | Causal modeling |
Forward Propagation |
Backward propagation |
Temporal model |
|||
| Hosseini and Barker (2016b) | Resilience supplier selection | ✓ | ✓ | ✓ | ✓ | BN is applied to model primary, green and Resilience criteria of supplier selection problem | ||
| Qazi et al. (2014) | SC risk assessment | ✓ | ✓ | ✓ | An integrated Game theory and BN approach is utilized to quantify SC risks | |||
| Wan et al. (2019) | Assessing maritime SC risks | ✓ | ✓ | BN is developed to quantify the risk of SC maritime risks | ||||
| Boutselis and McNaught (2019) | Spare demand forecasting | ✓ | ✓ | BN is used to forecast spare demand under disruption risk | ||||
| Hosseini et al. (2019d) | Ripple effect modeling of Supplier disruption | ✓ | ✓ | ✓ | ✓ | ✓ | DBN is used to model the ripple effect of supplier disruption | |
| Hosseini and Ivanov (2019) | SC resilience modeling with ripple effect consideration | ✓ | ✓ | ✓ | ✓ | Metrics are developed based on the application of BN to measure the vulnerability, recoverability and resilience of suppliers | ||
| Kumar Sharma and Sharma (2015) | SC risk assessment | ✓ | ✓ | BN is used to measure and evaluate SC risks | ||||
| Sharma and Routroy (2016) | SC information risk modeling | ✓ | ✓ | ✓ | BN is utilized to study the impact of Information breakdown and leakage on SC Revenue impact | |||
| SC resilience modeling | ✓ | ✓ | ✓ | SC resilience metric is proposed which is based on the forward propagation feature of BNs | ||||
| Qazi et al., 2017, Qazi and Akhtar, 2018 | SC network risk analysis | ✓ | ✓ | BN is used to analyze the SC network risks and causality relationship among risks | ||||
| Garvey et al. (2015) | SC risk propagation analysis | ✓ | ✓ | ✓ | A model based on BN is developed that measures the disruption propagation in SC networks | |||
| Ojha et al. (2018) | SC risk propagation of SC networks | ✓ | ✓ | ✓ | BN is used to model SC risk propagation | |||
| Yang and Liu (2018) | Vulnerability assessment of SC | ✓ | ✓ | BN is used to calculate the network Parameters of SC vulnerability | ||||
| Kaki et al. (2015) | Supplier disruption risk assessment | ✓ | ✓ | ✓ | BN is used to assess the SC network disruption by measuring the risk propagation of disrupted supplier | |||
| Hu et al. (2019) | Disruption risk analysis of SC | ✓ | ✓ | Effective disruptive mitigation policies are Suggested using BN to minimize disruption Risk in petroleum SC |
||||
| Qazi and Akhtar (2018) | SC risk modeling | ✓ | ✓ | ✓ | BN is used to model interdependency among SC risks and manage risk specific with respect to the risk appetite. | |||
| Rodgers and Singham (2019) | SC disruption modeling | ✓ | ✓ | BN is utilized to quantify the probability of Disruption in a clinical SC | ||||
| Lockamy and McCormack (2012) | Supplier risk analysis | ✓ | ✓ | ✓ | The revenue impact of supplier disruption Is evaluated using BN. | |||
| Rodger (2014) | SC risk modeling | ✓ | ✓ | ✓ | A fuzzy BN is proposed to predict supply chain backorder risk. | |||