10 October 2022
Logistics Reply, the Reply Group company specialising in innovative software solutions for a digital supply chain, supports the Fraunhofer Institute for Material Flow and Logistics (IML) and provides the LEA Reply™ Warehouse Management System (WMS) in the new “Picking Lab”.
The Fraunhofer “Picking Lab” is a miniature warehouse for picking in which various picking technologies and warehouse management systems (WMS) can be tested. It is aimed at industry partners, manufacturers and users of picking technologies. The test centre compares different technologies with regard to ergonomic aspects, objective performance criteria and the interaction between people and technology.
The LEA Reply™ warehouse management system by Logistics Reply is used to manage inventories and to flexibly connect the various picking technologies. With this platform, other processes along the supply chain can also be digitally mapped and reliably controlled. The software suite includes numerous microservices that can be used independently or flexibly in combination. This architecture makes it possible to put together customised solutions for specific logistics requirements and to add services or additional functions.
The picking technologies used in the “Picking Lab” are, for example, devices for mobile data entry (MDE), “Pick-by-Voice” or “Pick-by-Light” – “Pick-by-Vision” is being planned. Interested parties have the opportunity to visit the “Picking Lab” on site, experience the technologies in reality and test solutions themselves. Within the framework of research projects, for example, the usability or ergonomics of software systems and technologies are examined.
“As a cooperation partner of the Fraunhofer IML, we are very pleased to be able to support companies that want to digitalise their warehouse in their search for the right pick-by-method or warehouse management system. At Logitiscs Reply, we are already working intensively on the future of logistics by developing autonomous solutions for warehouse management using drones, autonomous vehicles, computer vision and advanced platforms. The goal is to improve resilience for business operations and supply chains through intelligent automation and the use of real-time data to predict, anticipate and react quickly to developments,” comments Alexander Edelmann, Partner at Logistics Reply.
Disclaimer
Reply S.p.A. published this content on 10 October 2022 and is solely responsible for the information contained therein. Distributed by Public, unedited and unaltered, on 10 October 2022 07:41:01 UTC.
