Determinantes tecnológicos da indústria 4.0 na eficiência de operadores logísticos no Brasil.

Abstract

The present study seeks to identify the impacts that the adoption of industry 4.0 technologies have on the efficiency of third-party logistics (3PL). Secondary data on the performance of third-party logistics (3PL) in the years 2019 and 2020 made available by Revista Tecnologística were used. The analyzes were performed using the Data Envelopment Analysis (DEA) model in two stages. In the first stage, DEA was used to measure the efficiency of third-party logistics (3PL). In the second stage, Bootstrap Truncated Regression (BTR) was applied to explore the relationship between efficiency and selected Industry 4.0 technologies. Regarding the results, a high average technical inefficiency was identified in the first stage, which indicates a managerial failure in the efficient use of resources. On the other hand, third-party logistics (3PL) operate with low scale inefficiency, that is, they operate very close to the optimal production scale (size). In the second stage, all contextual variables were significant. The Drones, Big-Data and Business Intelligence variables had a positive impact, while the Internet of Things (IoT) had a negative impact. The results show that the adoption of Industry 4.0 technologies promotes significant efficiency gains, but they must be well explored so that their introduction costs do not outweigh the benefits. The study is original since it uses the DEA methodology as a benchmarking tool for the development of good practices in the logistics services sector.