Using Indoor Positioning Systems (IPS), for Supporting the Digital Mapping and Evaluation of Material Handling Processes, in Intralogistics Systems

Abstract

The need for process digitalization, with the solution of Industry 4.0, has impacts for logistics companies. The need of the retrieving dynamic information about the position of different objects has also appeared in intralogistics. In a facility, dynamic data from the position of moving material handling machines can provide useful information for companies enabling the optimization of related processes. Indoor positioning can be implemented using different technologies and solutions, but the accuracy and reliability of existing indoor positioning systems (IPS) vary significantly and can be affected by many factors. This is a disadvantage for IPS supported online reproduction of manual analyses. This article will present the possibilities of using data from IPS, through various logistics analyses. It will be shown that analytical solutions can be implemented using location coordinates and the time data from IPS.

The need for process digitalization, with the solution of Industry 4.0, has impacts for logistics companies. The need of the retrieving dynamic information about the position of different objects has also appeared in intralogistics. In a facility, dynamic data from the position of moving material handling machines can provide useful information for companies enabling the optimization of related processes. Indoor positioning can be implemented using different technologies and solutions, but the accuracy and reliability of existing indoor positioning systems (IPS) vary significantly and can be affected by many factors. This is a disadvantage for IPS supported online reproduction of manual analyses. This article will present the possibilities of using data from IPS, through various logistics analyses. It will be shown that analytical solutions can be implemented using location coordinates and the time data from IPS.