AUTONOMOUS MOBILE ROBOTS (AMRS) IMPLEMENTATION TOOL BASED ON SIMULATION MODEL IN THE CONTEXT OF LOGISTICS 4.0

1 GIEL Robert
Co-authors:
1 DĄBROWSKA Alicja
Institution:
1 Wroclaw University of Science and Technology, Wroclaw, Poland, EU, robert.giel@pwr.edu.plalicja.dabrowska@pwr.edu.pl
Conference:
10th Carpathial Logistics Congress, Hotel Pod Zámkom, Bojnice, Slovakia, EU, June 15 - 17, 2022
Proceedings:
Proceedings 10th Carpathial Logistics Congress
Pages:
120-125
ISBN:
978-80-88365-08-2
ISSN:
2694-9318
Published:
31st October 2022
Proceedings of the conference have been sent to Web of Science and Scopus for evaluation and potential indexing.
Metrics:
48 views / 16 downloads
Abstract

Increasing global competition drives the need to meet new customer demands, which leads to significant changes in modern industry. In this context, the rapid development of Industry 4.0 over recent years has been observed. The pillars of the new revolution have become technologies based on the Internet of things, cyber-physical systems, Big Data, cloud computing, robotics and simulation.Many companies are choosing to automate their internal transport in order to eliminate human factors and reduce storage costs globally. Autonomous mobile robots (AMRs) have become a common solution. In addition to a number of problems related to their design (localization, navigation, routing, obstacle detection) widely discussed in the literature, there is also the problem of their implementation. This is influenced by many factors related to the characteristics of the system.This publication describes a tool developed to implement AMRs in a warehouse with given characteristics such as layout, size and type of storage. Tool fits into the concept of Logistics 4.0. It allows to determine the number of robots, to determine the location of picking stations, their number and the necessary number of charging stations. In addition, it makes it possible to take into account the different intensities of the order stream.

Keywords: Autonomous mobile robot, simulation modelling, AMR implementation, Logistics 4.0, fleet size determination

© This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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