Eco-Energy-Efficient Simultaneous Lot-Sizing and Scheduling: A Tri-criteria Problem
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-24907-5_25
Reference9 articles.
1. Bänsch, K., Busse, J., Meisel, F., Rieck, J., Scholz, S., Volling, T., & Wichmann, M. (2021). Energy-aware decision support models in production environments: A systematic literature review. Computers and Industrial Engineering, 159, 1–27. https://doi.org/10.1016/j.cie.2021.107456
2. Ding, J., Song, S., & Wu, C. (2016). Carbon-efficient scheduling of flow shops by multi-objective optimization. European Journal of Operational Research, 248, 758–771. https://doi.org/10.1016/j.ejor.2015.05.019
3. Gu, W., Li, Z., Dai, M., & Yuan, M. (2021). An energy-efficient multi-objective permutation flow shop scheduling problem using an improved hybrid cuckoo search algorithm. Advances in Mechanical Engineering, 13, 1–15. https://doi.org/10.1177/16878140211023603
4. EUPD Research. https://www.eupd-research.com/co2-emissionen
5. Schulz, S., & Linß, F. (2020). Time-dependent emission minimization in sustainable flow shop scheduling. In Operations Research Proceedings 2019 (pp. 583–589). https://doi.org/10.1007/978-3-030-48439-2_71
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