PREDICTING ON-TIME DELIVERIES IN TRUCKING: A MODEL BASED ON THE WORKING CONDITIONS OF DRIVERS
نویسندگان
چکیده
Over a period of two years, 26.3 thousand road freight shipments were recorded. The records include information about truckload companies, drivers, and the causes non-compliance delays in deliveries. Logistic regression based working conditions as independent variables was used to predict deliveries attributed cargo drivers. Results show that vehicle type, medical coverage social security, level stress, work dissatisfaction, transit time strongly associated with out-of-time-delays proposed model is promising tool improve performance companies it may motivate benefit truckers.
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ژورنال
عنوان ژورنال: Acta Tecnología
سال: 2021
ISSN: ['2453-675X']
DOI: https://doi.org/10.22306/atec.v7i2.105