An autonomous mobile robot all-rounder, a highly efficient intralogistics management platform for synchronizing entire vehicle fleets and a system for the unique identification of pallets, these are the three innovative excellences that were awarded the prestigious “BEST PRODUCT” award at this year’s LogiMAT 2022.
The independent jury of scientists and journalists selected three worthy prize winners from more than one hundred applications received, who live up to the name “BEST PRODUCT.” They meet the competitive conditions in an outstanding way: increasing productivity, cost savings and rationalization. With their products, the award-winning companies contribute to safe processes, to flexible adaptation to changes as well as to efficiency improvement and thus ultimately to increasing productivity in logistics. The prize “BEST PRODUCT” was awarded as part of the ceremonial opening in the LogiMAT Arena in the morning of the first day of the fair. The laudation was given by Prof. Dr.-Ing. Johannes Fottner, Full Professor of the Chair of Conveyor Technology Material Flow Logistics at the Technical University of Munich.
In the category “picking, conveying, lifting, storage technology”, the prize went to Bosch Rexroth AG (Hall 2, Stand B21), Assembly Technology division, for the intralogistics solution with the autonomous mobile robot ActiveShuttle.
The driverless transport vehicle automates and standardizes the internal flow of materials and goods and creates transparent and efficient internal processes. Floor scooters loaded with small load carriers (KLT) are picked up by ActiveShuttle and transported highly flexibly and safely. Due to the fully automatic loading and unloading, manual handling tasks are a thing of the past. The integrated safety concept enables timely braking and safe passing of obstacles in the road. In addition to the security laser scanner, stereo cameras capture the room in 3D – for example, objects protruding into the driveway are also detected. In 24/7 continuous use, the driverless transport vehicle safely transports goods of up to 260 kg to their destination with the help of robust laser navigation (SIL2, Pld) and a speed of up to 1 m/s. The heart of the overall system is the ActiveShuttle Management System (AMS). It takes over the central control of the entire ActiveShuttle fleet. As control software, the AMS represents the live state of the fleet, assigns the upcoming transport orders to the available vehicles and serves the user to control and configure the logistics scenarios. It enables highly flexible order management, in which orders can be entered manually or automatically fed in via third-party systems. The touchscreen display newly integrated into the vehicle console ensures more efficiency on site, because the operating personnel can now interact directly and intuitively with the mobile robot. This creates more transparency through job and status information, saves time during diagnosis and troubleshooting and simplifies so-called boarding, the registration of the mobile robot to the higher-level management system. The ActiveShuttle is quickly implemented, intuitive to use, fully networked and safe to use without adapting the existing factory infrastructure.
In the category “Identification, packaging and loading technology, load securing”, the price went to Sick Vertriebs-GmbH (Hall 1, Stand F51) for the deep learning-based system PACS for classifying pallet types.
The PACS identification system recognizes the pallet type based on the branding on the pallet feet and assigns it to a class by means of a trained neural network. Based on this assignment, an automatic deposit of the pallets is carried out. It thus simplifies an often manually executed, resource-intensive process and can be integrated into the logistics chain as a compact system with a small footprint. The modular structure of the PACS consists of a combination of hardware and software components from SICK. Project-specific, one or more color cameras are used for image recording as required. The software tools SICK Appspace and dStudio support a quick creation of the solution based on standard hardware. Thanks to the SICK Appspace Eco-System, the solution can be customized on site. Based on intuitive user interfaces, no previous knowledge of programming or machine learning is required when operating the system. Optionally, the functionality of the system can be quickly and easily expanded with additional sensors, e.g. B. a barcode reading or a measurement of the palette.
In the category “Software, Communication, IT”, the prize went to the start-up SYNAOS GmbH (Hall 2, Stand A21) for the intralogistics management platform SYNA.OS LOGISTICS for orchestrating factories and logistics centers using artificial intelligence and the latest cloud technology.
SYNAOS is revolutionizing intralogistics with its software. Artificial intelligence and state-of-the-art cloud technology make Industry 4.0 a reality. The unique software operating system SYNA.OS LOGISTICS synchronizes vehicles, forklifts and mobile robots based on their real-time data and thus uses complexity as an advantage. Functionalities such as Order & Process Management, Asset Control, Storage Management, Vehicle & Operator Management and Vehicle Localization optimize processes every second with AI-based algorithms and thus increase efficiency. Thanks to the computing power from the cloud, the software always finds the best solution from billions of possibilities.
Autonomous vehicles and forklifts in logistics centers often come from various hardware manufacturers and are not centrally controlled. This leads to intralogistic chaos that complicates exact planning and entails problems and costs. With a VDA 5050 standardized interface according to VDA and VDMA, SYNA.OS LOGISTICS networks all vehicles with each other in real time across manufacturers and acts as a conductor who turns individual vehicles into a perfectly coordinated orchestra. Due to the scalability of the platform, fleets with up to 1000 vehicles can be controlled. The software reacts immediately to any malfunctions or operating errors. Through a clever distribution of goods, among other things, Delays reduced by up to 60 percent. AI-based algorithms and processes reduce fleet size to the bare minimum, which relieves highly frequented halls and also saves costs.
The three products awarded the “BEST PRODUCT 2022” award are exemplary for all other international exhibitors of LogiMAT, who show their innovations to the professional audience. The world’s largest trade fair for intralogistics solutions and process management will take place until the 2nd. June 2022 at the exhibition center in Stuttgart.
The prize “BEST PRODUCT” was initiated by the organizer of LogiMAT in order to draw attention to the excellence of the exhibitors, many of whom come from medium-sized companies. Since then, innovative products have been awarded that contribute significantly to rationalization, cost savings and increase productivity in in-house logistics. The award “BEST PRODUCT” is awarded in three categories:
∙ Software, communication, IT
∙ Order picking, conveying, lifting, storage technology
∙ Identification, packaging and loading technology, load securing
The winners will be chosen by an independent jury, which critically examines the submitted applications according to the aforementioned aspects in the run-up to the fair. The jury members include representatives from science and the media. The award has now established itself as one of the most coveted awards in the intralogistics industry. The winners of the competition will be awarded a certificate and a medal at the opening of LogiMAT.
The expert jury for the “BEST PRODUCT” award includes:
Prof. Dr.-Ing. Johannes Fottner, Chair of Conveyor Technology Material Flow Logistics, Technical University of Munich (Chairman)
Prof. Dr.-Ing. Rolf Jansen, Institute for Distribution and Retail Logistics (IDH) of the VVL e.V. Jan Kaulfuhs-Berger, journal Technical Logistics
Matthias Pieringer, trade journal LOGISTIK HEUTE
Prof. Dr.-Ing. Wolf-Michael Scheid, VDI Society Production and Logistics (VDI-GPL)
Prof. Dr.-Ing. Robert Schulz, University of Stuttgart, Institute of Conveyor Technology and Logistics (IFT)
Tobias Schweikl, trade journal LOGISTRA