A Process Lead Time Prediction Method Using Decision Tree in Job Shop Type Production

Key Points

• The aim is to develop a method for predicting process lead time in job shop production environments.
• Utilized a decision tree algorithm for predictions.
• Incorporated parameters related to acceptance status of orders at job shops.
• Assessed prediction accuracy using RMSE metrics.
• Achieved an RMSE of 5.3 days for prediction accuracy.
• Validated method effectiveness without examining resource composition or behavior of job shops.