Adverse Event Analysis in the Application of Drones Supporting Safety and Identification of Products in Warehouse Storage Operations

Abstract

The currently observed development of the Industry 4.0 concept causes the development of new technologies that support not only production processes in the smart factor, but also logistics processes including safety during warehouse inventories. For this reason, Logistics 4.0 systems use automatic data identification (barcodes, RFID) and autonomous vehicles. In the article, particular attention was paid to the use of unmanned aerial vehicles in logistic processes and thanks using them much higher level of safety during warehouse storage operations. They are used in particular for repetitive or hazardous operations where the human factor should be limited. The research area is the use of drones to support warehouse operations that are related to stock-taking. The aim of the article is to identify possible adverse events that may occur during the implementation of the drone mission and to classify them according to the selected classification criteria. The article presents the identified key adverse events and their causes. Then, they were classified based on the effects they generate for each stage of the measurement process. As part of the discussion, control measures and good practices were proposed that may reduce or even eliminate the occurrence of identified adverse events in the future. All the work was summarized in the final conclusions.