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International Journal of Computer Integrated Manufacturing Volume 35, 2022 - Issue 10-11: Data-Driven Modeling and Analytics for Optimization of Complex Manufacturing Systems
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EDITORIAL

Special issue on data-driven modeling and analytics for optimization of complex manufacturing systems

Wei Qina School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-8527-0354
ORCID Icon,
Yingfeng Zhangb College of Mechanical and Electrical Engineering, Northwestern Polytechnical University, Xi’an, China
,
Ting Quc School of Electrical and Information Engineering, Jinan University, Guangzhou, China
&
Xinyu Lid School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China
Pages 1025-1027 | Published online: 11 Nov 2022

References

  • Cheng, F., I. A. Kovács, and A. L. Barabási. 2019. “Network-Based Prediction of Drug Combinations.” Nature Communications 10 (1): 1197. doi:10.1038/s41467-019-09186-x.
  • Cotter, C. R., H. B. Schüttler, O. A. Igoshin, and L. J. Shimkets. 2017. “Data-Driven Modeling Reveals Cell Behaviors Controlling Self-Organization During Myxococcus Xanthus Development.” Proceedings of the National Academy of Sciences 114 (23): 4592–4601. doi:10.1073/pnas.1620981114.
  • Qin, W., D. Zha, and J. Zhang. 2018. “An Effective Approach for Causal Variables Analysis in Diesel Engine Production by Using Mutual Information and Network Deconvolution.” Journal of Intelligent Manufacturing 31 (7): 1661–1671. doi:10.1007/s10845-018-1397-8.
  • Runge, J., S. Bathiany, E. Bollt, G. Camps-Valls, D. Coumou, E. Deyle, C. Glymour, et al. 2019. “Inferring Causation from Time Series in Earth System Sciences.” Nature Communications 10 (1): 2553. doi:10.1038/s41467-019-10105-3.
  • Severson, K. A., P. M. Attia, N. Jin, N. Perkins, B. Jiang, Z. Yang, M. H. Chen, et al. 2019. “Data-Driven Prediction of Battery Cycle Life Before Capacity Degradation.” Nature Energy 4 (5): 383. doi:10.1038/s41560-019-0356-8.
  • Sun, Y., W. Qin, and Z. Zhuang. 2022. “Nonparametric-Copula-Entropy and Network Deconvolution Method for Causal Discovery in Complex Manufacturing Systems.” Journal of Intelligent Manufacturing 33 (6): 1699–1713. doi:10.1007/s10845-021-01751-w.
  • Zhao, J., Y. Zhou, X. Zhang, and L. Chen. 2016. “Part Mutual Information for Quantifying Direct Associations in Networks.” Proceedings of the National Academy of Sciences 113 (18): 5130–5135. doi:10.1073/pnas.1522586113.
  • Zhuang, Z., Y. Li, Y. Sun, W. Qin, and Z. H. Sun. 2022. “Network-Based Dynamic Dispatching Rule Generation Mechanism for Real-Time Production Scheduling Problems with Dynamic Job Arrivals.” Robotics and Computer-Integrated Manufacturing 73: 102261. doi:10.1016/j.rcim.2021.102261.

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