Condition Monitoring from Swisslog was honored with the Best Product award in the software, communication, and IT category at the opening ceremony for LogiMAT 2017.
Swisslogs solution concept impressed the jury of scientists and trade journalists, thanks to its substantial contribution towards streamlining processes, saving costs, and increasing productivity in in-house logistics.
More than 1,300 exhibitors from the logistics industry were invited to submit new products and solution concepts for the Best Product award, which is given out in three categories. Each year, the winners are chosen by an independent jury of representatives from economics, science, and the media, who evaluate the submissions prior to the trade show based on predefined criteria.
Condition Monitoring is an easy-to-use plug-in within Swisslog’s intelligent SynQ software and part of its proven Cockpit Manager. The award was presented by Peter Kazander, LogiMAT Exhibition Director, and Willibald Günther, Head of the Institute of Materials Handling, Material Flow and Logistics at Technical University of Munich.
Dr. Christian Baur, COO of the Swisslog Group and CEO of the Warehouse and Distribution Solutions division, said: We are very excited about this award and proud to receive it at LogiMAT. This award recognises innovation and quality and has special significance because LogiMAT, as Europes largest logistics trade show, is particularly important for us. Furthermore, it is proudly received as we consider software to be a strategic cornerstone of our business and we are working hard to differentiate ourselves in this field.
“Condition Monitoring is much more than just an essential tool to precisely and accurately identify critical warehouse elements and prevent unexpected system failures caused by wear and tear. We see advanced data analytics as an important catalyst that will gradually allow intralogistics to move away towards a highly service-driven industry based on performance-oriented pay-per-use business models.
Swisslogs Condition Monitoring solution is based on the ongoing capture of machine conditions by measuring and analyzing physical values such as fluctuations, temperatures, position and proximity of individual elements and systems. The collected data can be used to identify malfunction-prone critical elements and to draw conclusions about the error rate of individual disciplines and even entire logistics systems.
In contrast to traditional preventive maintenance where intact components are routinely replaced with new ones, Condition Monitoring allows maintenance and spare parts provisioning to take place precisely when a critical warehouse element reaches the actual end of its service life.