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Data-Driven Prediction of Processing Times and Delays Across Supply Chain Operational Stages Using Machine Learning

This study proposes an ensemble learning framework to predict personnel data entry durations across six operational stages using transaction records collected from an operational supply chain information system. To accurately represent operational performance, processing times were calculated in working minutes by excl...