Research on Process Planning and Workshop Scheduling Under Low Carbon Constraints
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0665-5_43
Reference8 articles.
1. Yin, R., Cao, H., Li, H., et al.: A process planning method for reduced carbon emission. Int. J. Comput. Integr. Manuf. 27(12), 1175–1186 (2014)
2. Yi, Q., Li, C., Zhang, X., et al.: An optimization model of machining process route for low carbon manufacturing. Int. J. Adv. Manuf. Technol. 80(5–8), 1181–1196 (2015)
3. Fu, Y., Tian, G., Fathollahi-Fard, A.M., et al.: Stochastic multi-objective modelling and optimization of an energy-conscious distributed permutation flow shop scheduling problem with the total tardiness constraint. J. Clean. Prod. 226, 515–525 (2019)
4. Allahverdi, A.: The third comprehensive survey on scheduling problems with setup times/costs. Eur. J. Oper. Res. 246(2), 345–378 (2015)
5. Seng, D.W., Li, J.W., Fang, X.J., et al.: Low-carbon flexible job-shop scheduling based on improved nondominated sorting genetic algorithm-Ii. Int. J. Simul. Modell. 17(4), 712–723 (2018)
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