Data-driven process optimization in the beverage industry
- Publication Type:
- Journal Article
- Citation:
- Fabriksoftware, 2019, 24, (3), pp. 21-24
- Issue Date:
- 2019-01-01
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Filename | Description | Size | |||
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19578723_8962734290005671.pdf | Published version | 1.1 MB |
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Increased pressure on prices and competition is presenting the beverage industry with major challenges in terms of rationalization. Existing Lean and Six Sigma approaches are reaching their limits in biochemical processes with complex multivariate influences. The paper presents an approach for data-driven process optimization in the beverage industry based on machine learning.
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