Track: Supply Chain Management

Abstract

The purpose of this paper is to examine what are main factors influencing trucks productivity of a freight transport company in Mexico. This study employed factor analysis to determine if there were a relationship between variables and multiple regression analysis analysis to determine which factors had significant impact in delivery times. Data collected were analyzed using SPSS 23. Regarding factor analysis, it was used Kayser-Meyer-Olkin test to prove if a factorial analysis could be performed, resulting in reduction of variables from 7 to 2 – with a KMO of 0.91 the results are suitable for factor analysis – and Bartlett’s sphericity test to test resulting in 0.0 – which means data structure is suitable – indicating factor analysis and data are useful to achieve research objective. Hence, this study is the base to improve service quality and client perception, by increasing number of fulfilled deliveries. This research is important for the company since it will provide insights about the performance of their logistics process and variables to be controlled to improve trucks efficiency and productivity