A Bayesian network model for resilience-based supplier selection

By Seyedmohsen Hosseini, Kash Barker. 2016

311 citations recorded by the source corpus.

Subfields: Safety, Risk, Reliability and Quality, Statistics and Probability, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/71ebd84c98ae5abfe6171bcb333c75c62894fb90

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Safety, Risk, Reliability and Quality

1. Dmitry A. Ivanov
2. Alexandre Dolgui

In Statistics and Probability

1. Dmitry A. Ivanov

In Strategy and Management

1. Dmitry A. Ivanov
2. Fernando Antonio Forcellini
3. Ian M. Cavalcante
4. Enzo Morosini Frazzon
5. Robert Pellerin
6. Arnaud Fortin
7. Samir Lamouri
8. Juan Pablo Usuga Cadavid

Citations in the corpus

• A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing (2019, background): “Hosseini and Barker [5] used this concept and extended it to the supplier selection problem.”
• Machine learning applied in production planning and control: a state-of-the-art in the era of industry 4.0 (2020, methodology): “For instance, by considering environmental criteria when choosing suppliers, as in (Hosseini and Barker 2016).”