Eco-Conscious Master Production Scheduling Under Dual Uncertainty: A Hybrid Approach Using Machine Learning and Stochastic Optimization
- DOI
- 10.21203/rs.3.rs-10568612/v1
- Published
- 2026-08-13
- Container
- Not recorded
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.21203/rs.3.rs-10568612/v1,
title = {Eco-Conscious Master Production Scheduling Under Dual Uncertainty: A Hybrid Approach Using Machine Learning and Stochastic Optimization},
author = {Wiam ALAMI CHENTOUFI and Amine ZITOUNI and Abdellah El BARKANY},
year = {2026},
doi = {10.21203/rs.3.rs-10568612/v1},
url = {https://doi.org/10.21203/rs.3.rs-10568612/v1}
}RIS
TY - JOUR TI - Eco-Conscious Master Production Scheduling Under Dual Uncertainty: A Hybrid Approach Using Machine Learning and Stochastic Optimization AU - Wiam ALAMI CHENTOUFI AU - Amine ZITOUNI AU - Abdellah El BARKANY PY - 2026 DO - 10.21203/rs.3.rs-10568612/v1 UR - https://doi.org/10.21203/rs.3.rs-10568612/v1 ER -
APA
CHENTOUFI, W. A., ZITOUNI, A., & BARKANY, A. E. (2026). Eco-Conscious Master Production Scheduling Under Dual Uncertainty: A Hybrid Approach Using Machine Learning and Stochastic Optimization. https://doi.org/10.21203/rs.3.rs-10568612/v1
Source records
- crossref · retrieved 2026-09-25T21:06:08.927Z