The Three Pillars of Modern Tracking
Since not all assets are created equal, a generic approach to tracking isn’t going to work. Truly efficient operation requires the application of three distinctly different technologies based on the specific use-case.
- Identification-Based Tracking (The Foundation)
Employing advanced identification methods such as smart barcodes, QR codes, and RFID tags provides each object with its unique digital identity. It forms the foundation of modern automated inventory management systems where instead of manually inputting the serial number, you can update your databases by scanning the tag.
- Location-Based Tracking (The Journey)
Once the asset leaves your premises, tracking its whereabouts is key. Utilizing GPS, cellular, Bluetooth, and Wi-Fi technologies will provide an unprecedented level of visibility across vast distances. In logistics and field service operations, it guarantees timely deliveries, theft detection, and optimization of routes.
- Sensor-based Tracking (The Condition)
It doesn’t really matter where the asset is if it does not get there intact. Here is where sensor-based tracking comes into play. It helps industries such as medicine or agriculture make sure they meet the regulatory requirements for certain products, and also helps prevent the spoilage of sensitive goods. In case something goes wrong in a transport truck such as a malfunctioning refrigeration unit, real-time warnings will help you save the product from getting Ruined .
Translating Real-Time Information into Actionable Insights Knowing something is one thing; being able to use that knowledge in some way is what ultimately matters. Integration of hardware (sensors and tags) and software (data dashboard) shifts decision-making within management ruins.
🔹Reducing Operational Risk: Geofencing and real-time alerts allow you to be immediately aware when equipment moves outside of the predefined area.
🔹Reducing Operational Risk: Geofencing and real-time alerts allow you to be immediately aware when equipment moves outside of the predefined area.
🔹Preventing Downtime: With the ability to predict maintenance through consistent data collection on asset usage, your machine no longer fails while on the production line.
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