Optimising production through real-time location data

With factories and production lines sprawling over enormous areas the smallest miscalculations or errors can lead to minutes of downtown and inefficient production. However, several widespread difficulties common in manufacturing can be overcome by utilizing real-time location data and FloWide technologies. The four-step FloWide optimisation process can offer new insight into how your production line works, and help you make the rights decision to improve your manufacturing efficiency.

1 Identifying challenges

The challenges and limitations of production lines are unique characteristics that change from shopfloor to shopfloor. FloWide is not a one-fits all solution but provides targeted improvements to overcome the most glaring difficulties of manufacturing. From optimising work orders for production levelling to maintaining optimal inventory buffers, and various other limitations, our experts can help you understand how location data can lead you to the solution you are looking for.

 2 Creating a digital twin of you production line

Once we understand the problems your team is facing, we will dedicate an expert to engage with you throughout your FloWide journey. They will dig deep to analyse what happens on your shopfloor. Our partners can also see what we have understood by experimenting with the beautiful digital twin created to simulate processes based on a map of the shopfloor you provide. Approximately 6–10 one-hour sessions can be needed to complete this phase. Once ready, your team will have full access to the FloWide platform, can re-run simulations with different parameters, or you can improve the model by accessing the underlying low-code python program.

 3Simulating scenarios and improving the digital twin

Utilising the digital platform, you will be able to explore how existing technologies could be used to optimise manufacturing and how various deployments of FloWide technologies could improve your shopfloor. For example, when accurate location data is collected from a production area, process time insights can be auto-generated. You will be able to automatically create online interactive Yamazumi diagrams with the help of our data analytics tools to enable lighting fast and optimal production levelling, saving up to 25% of a planner’s time, while enabling them to work remotely and automate many of their routine tasks.

To better understand what’s happening on your shopfloor, your team can customise the pre-created visualisation and control applications in line with their ideas. This may include the creation of heatmaps from your shopfloor showing the waiting times of items, identifying hidden processes by analysing the route of assets and generating a value stream map by automatically deriving processing times from your digital twin. Other uses include writing simple input applications to search for items or acknowledge processing sequence orders etc.

 4Deploying hardware

When you are satisfied with the results of the model, our team will help you deploy your FloWide local radio network to bring these digital solutions to your physical manufacturing process. Moving forward, your digital twin will be filled with real-world location data, and the applications above will be rolled out. You can one-click enable any smart device (phone, tablet, TV) and run any of the applications written for your digital twin during Step 3.

Continuous improvement

At FloWide we believe in constant incremental optimisation and improvement. Because of this, we never believe that our work is done and after solving the first challenge, we will continue the hunt for optimal shopfloor and logistics operations. Repeating the FloWide Process as many times as needed and as long as we can bring meaningful change to your shopfloor.

Let’s talk!

Reach out to our team if you have any questions, are facing a problem you think we can solve, or just want to learn more about how we do what we do!