Gabrielle Gauthier Melancon, Philippe Grangier, Éric Prescott-Gagnon, Emmanuel Sabourin and Louis-Martin Rousseau
Article (2021)
| Department: | Department of Mathematics and Industrial Engineering |
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| Research Center: | IVADO - Institute for Data Valorization |
| PolyPublie URL: | https://publications.polymtl.ca/49477/ |
| Journal Title: | Interfaces (vol. 51, no. 3) |
| Publisher: | Institute for Operations Research and the Management Sciences |
| DOI: | 10.1287/inte.2020.1055 |
| Official URL: | https://doi.org/10.1287/inte.2020.1055 |
| Date Deposited: | 18 Apr 2023 14:59 |
| Last Modified: | 11 Sep 2025 17:05 |
| Cite in APA 7: | Gauthier Melancon, G., Grangier, P., Prescott-Gagnon, É., Sabourin, E., & Rousseau, L.-M. (2021). A Machine Learning-Based System for Predicting Service-Level Failures in Supply Chains. Interfaces, 51(3), 200-212. https://doi.org/10.1287/inte.2020.1055 |
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