For minimizing costs, many companies use audit and effective management, but, due to the lack of enterprise vehicle tracking, these measures do not always give a positive result. To reduce expenses, modern technological solutions, aimed at optimizing business processes, have to be implemented into the enterprise infrastructure. Asset tracking in manufacturing, being one of such solutions, provides operational data on equipment usage in real-time.
Navigine offers effective manufacturing tracking software tools for tracking and indoor navigation based on Bluetooth® LE , UWB, and Wi-Fi. Their implementation into the enterprise infrastructure can improve labor safety, reduce costs on logistics and vehicle shutdown, and increase the company’s profits.s
Manufacturing asset solutions allow defining the exact location of the equipment and its usage in real-time. Thanks to monitoring, the management always knows how forklifts and other vehicles work, where they are at the current moment, and how active they are during the day. If special tags are attached to vehicles, it is easy to detect non-working or lost assets. Manufacturing process tracking technologies allow saving time and resources on the equipment usage, taking efficient decisions related to its application, eliminating the excess of capital costs.
The system of positioning and monitoring allows tracking the movement of enterprise vehicles around the territory. The sensors on the equipment periodically send signals to the readers and help to control the vehicle movement on the interactive map of the plant. The platform ensures the momentary positioning of the object and allows understanding of the transport that has left the territory of the plant or the observation area. Using the technology, it’s possible to build optimal routes for every vehicle and manage its movement in real-time.
Modern manufacturing tracking software solutions create analytical reports on equipment usage. The exact data on its location, working time, and downtime lets managers take effective decisions and optimize the enterprise performance.
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