Contact
QR code for the current URL

Story Box-ID: 914413

nextLAP GmbH Hofmannstraße 61 81379 München, Germany http://www.nextlap.de
Contact Ms Ulrike Peter +49 211 97179770
Company logo of nextLAP GmbH
nextLAP GmbH

Design and analyze intralogistics zones with pickEXPLORER from nextLAP

Using data to optimize walking distances, throughput times and ergonomics in picking processes

(PresseBox) (Munich, )
nextLAP Inc. (www.nextlap.io), a specialist in IIoT-based solutions for the digital management and automation of production and logistics processes, presents its new pickEXPLORER. The software-based product allows intralogistics zones to be designed and analyzed. Based on real time picking data, walking distances and routes, throughput times and ergonomics get optimized, resulting in cost savings of up to 50 per cent.

pickEXPLORER is used to design and optimize logistics zones, with no IT knowledge required, based on the data collected from picking processes by nextLAP’s product smartRACK (e.g. part numbers, shaft, number of picks). smartRACK digitises and automates all kinds of picking processes and includes IIoT smartBUTTONs with LED display, the smartCONTROLLER and a screen or tablet. Standard storage racks in all areas are equipped with these IIoT components and connected to nextLAP’s IP/1 platform. Here, all data is collected centrally and processed in real time.

The new pickEXPLORER uses this data to evaluate the picks, for example in terms of pick frequency, walking distances and routes, throughput times and ergonomics. The picking zone is presented visually in a way that allows easy understanding of the process flow. An optimized layout can be generated at the touch of a button and subsequently adopted as the new configuration.

“Relocating logistics zones in particular is immensely time-consuming and cost-intensive. In most factories, data is still collected using Excel and paper and then used to plan processes. This is an extremely laborious task. With the help of our pickEXPLORER, using the real time data collected by smartRACK and the appropriate algorithms, logistics zones can be easily built graphically. Subsequently, they can also be optimized digitally, for example in terms of walking distances and ergonomics”, explains André Ziemke, Managing Director of nextLAP GmbH. He continues: “This creates significant potential for savings. Using pickEXPLORER, an automotive OEM was able to reduce walking distances by up to 50 per cent, for example.”

Website Promotion

Website Promotion

nextLAP GmbH

nextLAP Inc. was founded in 2015 by former Audi managers and is based Mountain View, California. The company develops IIoT-based production and logistics solutions aimed at the automotive industry and other sectors, which combine cloud technology, AI, big data and in-house developed IIoT hardware. The smartRACK product family allows users to digitize production and logistics processes (e.g. order-picking processes) themselves, as the solution can be quickly and easily installed, configured and maintained, with no IT knowledge required. The big data obtained from the digitized process is used to generate improvement measures and alternative action (using algorithms and artificial intelligence). nextLAP's solutions are leased "as a service" on a monthly basis with no fixed term; usage, maintenance and support are included. The company's customers include leading premium automotive manufacturers in the USA and Germany. (www.nextlap.io)

The publisher indicated in each case (see company info by clicking on image/title or company info in the right-hand column) is solely responsible for the stories above, the event or job offer shown and for the image and audio material displayed. As a rule, the publisher is also the author of the texts and the attached image, audio and information material. The use of information published here is generally free of charge for personal information and editorial processing. Please clarify any copyright issues with the stated publisher before further use. In case of publication, please send a specimen copy to service@pressebox.de.
Important note:

Systematic data storage as well as the use of even parts of this database are only permitted with the written consent of unn | UNITED NEWS NETWORK GmbH.

unn | UNITED NEWS NETWORK GmbH 2002–2024, All rights reserved

The publisher indicated in each case (see company info by clicking on image/title or company info in the right-hand column) is solely responsible for the stories above, the event or job offer shown and for the image and audio material displayed. As a rule, the publisher is also the author of the texts and the attached image, audio and information material. The use of information published here is generally free of charge for personal information and editorial processing. Please clarify any copyright issues with the stated publisher before further use. In case of publication, please send a specimen copy to service@pressebox.de.