Energy-Efficient Manufacturing Scheduling: A Systematic Literature Review
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-8851-6_56-1
Reference83 articles.
1. Abedi M et al (2017) A hybrid particle swarm optimisation approach for energy-efficient single machine scheduling with cumulative deterioration and multiple maintenances. In: IEEE, pp 1–8. ISBN: 978-1-5386-2726-6, https://doi.org/10.1109/SSCI.2017.8285316
2. Aghelinejad M, Ouazene Y, Yalaoui A (2018) Production scheduling optimisation with machine state and time-dependent energy costs. Int J Prod Res 56:5558–5575. issn: 0020-7543, https://doi.org/10.1080/00207543.2017.1414969
3. Ambrogio G et al (2020) Job shop scheduling model for a sustainable manufacturing. Proc Manuf 42:538–541. issn: 23519789, https://doi.org/10.1016/j.promfg.2020.02.034
4. Andrei M, Thollander P, Sannö A (2022) Knowledge demands for energy management in manufacturing industry – a systematic literature review. Renew Sust Energy Rev 159:112168
5. Assia S et al (2020) A genetic algorithm and B&B algorithm for integrated production scheduling, preventive and corrective maintenance to save energy. Manag Prod Eng Rev 11(4):3454–3462
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