Mina Kazemi Miyangaskary, Samira Keivanpour
and Amina Lamghari
Paper (2023)
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| Department: | Department of Mathematics and Industrial Engineering |
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| PolyPublie URL: | https://publications.polymtl.ca/62414/ |
| Conference Title: | 20th IFIP WG 5.1 International Conference on Product Lifecycle Management: Leveraging Digital Twins, Circular Economy, and Knowledge Management for Sustainable Innovation (PLM 2023) |
| Conference Location: | Montreal, QC, Canada |
| Conference Date(s): | 2023-07-09 - 2023-07-12 |
| Journal Title: | IFIP advances in information and communication technology |
| Publisher: | Springer Science+Business Media |
| DOI: | 10.1007/978-3-031-62582-4_4 |
| Official URL: | https://doi.org/10.1007/978-3-031-62582-4_4 |
| Date Deposited: | 30 Jan 2025 10:39 |
| Last Modified: | 30 Jan 2025 10:39 |
| Cite in APA 7: | Kazemi Miyangaskary, M., Keivanpour, S., & Lamghari, A. (2023, July). Optimizing Closed-Loop Supply Chain in the Electric Vehicle Battery Industry: A Fully Fuzzy Approach [Paper]. 20th IFIP WG 5.1 International Conference on Product Lifecycle Management: Leveraging Digital Twins, Circular Economy, and Knowledge Management for Sustainable Innovation (PLM 2023), Montreal, QC, Canada. Published in IFIP advances in information and communication technology. https://doi.org/10.1007/978-3-031-62582-4_4 |
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