Adaptive Scheduling in the Era of Cloud Manufacturing-Reference-Cited by-同舟云学术

Adaptive Scheduling in the Era of Cloud Manufacturing

Published:2020 Issue: Volume: Page:61-85
ISSN:0884-8289
Container-title:International Series in Operations Research & Management Science
language:
Short-container-title:

Author:

Mourtzis D.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-43177-8_4

Reference72 articles.

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2. Ahn, G., Park, Y. J., & Hur, S. (2019). Performance computation methods for composition of tasks with multiple patterns in cloud manufacturing. International Journal of Production Research, 57(2), 517–530. https://doi.org/10.1080/00207543.2018.1451664 .

3. Boyer, S. (2004). SCADA: Supervisory control and data acquisition (3rd ed.). Research Triangle Park, NC: ISA—The Instrumentation, Systems and Automation Society.

4. Chen, W., Song, J., Shi, L., Pi, L., & Sun, P. (2013). Data mining-based dispatching system for solving the local pickup and delivery problem. Annals of Operations Research, 203, 351–370. https://doi.org/10.1007/s10479-012-1118-1 .

5. Chen, L., Wang, J., & Xu, X. (2019). An energy-efficient single machine scheduling problem with machine reliability constraints. Computers & Industrial Engineering, 137, 106072. https://doi.org/10.1016/j.cie.2019.106072 .

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