An effective adaptive customization framework for small manufacturing plants using extreme gradient boosting-XGBoost and random forest ensemble learning algorithms in an Industry 4.0 environment
The prevailing competitive manufacturing industry calls for continuous customer satisfaction for business sustainability. With the emergence of the Industry 4.0 paradigm, product customization, which gives customers the means to personalized products to meet their needs, has become a strategy to inc...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-06-01
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| Series: | Machine Learning with Applications |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666827021000050 |