Predicting Weighing Deviations in the Dispatch Workflow Process: A Case Study in a Cement Industry

The emergence of the Industry 4.0 concept and the profound digital transformation of the industry plays a crucial role in improving organisations' supply chain (SC) performance, consequently achieving a competitive advantage. The order fulfilment process (OFP) consists of one of the key busines...

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Veröffentlicht in:	IEEE access 2023, Vol.11, p.8119-8135
Hauptverfasser:	Barros, Julio, Cunha, Francisco, Martins, Candido, Pedrosa, Paulo, Cortez, Paulo
Format:	Artikel
Sprache:	eng
Schlagworte:	Anomaly detection Anomaly prediction Bridges Business competition Case studies Cement industry Deviation dispatch workflow process Machine learning order fulfilment process Performance prediction Predictive models Random forests Supply chains Transportation Weighing weighing systems Workflow
Online-Zugang:	Volltext
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