A novel data-driven sampling strategy for optimizing industrial grinding operation under uncertainty using chance constrained programming
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Title
A novel data-driven sampling strategy for optimizing industrial grinding operation under uncertainty using chance constrained programming
Authors
Keywords
Optimization, Uncertainty, CCP, Clustering, Machine learning, Grinding
Journal
POWDER TECHNOLOGY
Volume 377, Issue -, Pages 913-923
Publisher
Elsevier BV
Online
2020-09-16
DOI
10.1016/j.powtec.2020.09.024
References
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