Open AccessPREDICTING ON-TIME DELIVERIES IN TRUCKING: A MODEL BASED ON THE WORKING CONDITIONS OF DRIVERS
Author(s) -
Luis Berrones-Sanz
Publication year - 2021
Publication title -
acta tecnología
Language(s) - English
Resource type - Journals
ISSN - 2453-675X
DOI - 10.22306/atec.v7i2.105
Subject(s) - logistic regression , transport engineering , work (physics) , working time , operations management , working hours , regression analysis , business , demographic economics , engineering , statistics , labour economics , economics , mathematics , mechanical engineering
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 of non-compliance and delays in deliveries. Logistic regression based in working conditions as independent variables was used to predict non-compliance deliveries attributed to cargo drivers. Results show that vehicle type, medical coverage and social security, level of stress, work dissatisfaction, and transit time were strongly associated with out-of-time-delays in deliveries. The proposed model is a promising tool to improve the performance of truckload companies and it may motivate to benefit working conditions of truckers.