A scenario-based robust optimization model for the sustainable distributed permutation flow-shop scheduling problem
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Publisher
Springer Science and Business Media LLC
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https://link.springer.com/content/pdf/10.1007/s10479-024-05940-7.pdf
Reference56 articles.
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3. Ali, S. M., Fathollahi-Fard, A. M., Ahnaf, R., & Wong, K. Y. (2023). A multi-objective closed-loop supply chain under uncertainty: An efficient Lagrangian relaxation reformulation using a neighborhood-based algorithm. Journal of Cleaner Production, 423, 138702.
4. Bargaoui, H., Driss, O. B., & Ghédira, K. (2017). A novel chemical reaction optimization for the distributed permutation flowshop scheduling problem with makespan criterion. Computers & Industrial Engineering, 111, 239–250.
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3. Correction: A scenario-based robust optimization model for the sustainable distributed permutation flow-shop scheduling problem;Annals of Operations Research;2024-05-08
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