Industrial Internet of Things (IIoT) devices have become critical in manufacturing. Industrialists across all sectors have seen leaps and bounds in terms of the technological development of connected facilities, production flow monitoring, inventory management, and quality control. As the era of Industry 4.0 emerges, factories are beginning to leverage IIoT in every aspect of production, from proof-of-concept to packaging. With Industry 4.0 comes the concept of a “smart factory” – a convergence of physical systems, advanced analytics, and edge intelligence. Any way you look at it, IoT is particularly well-suited to the manufacturing industry, and it’s no surprise that global manufacturers make up the maximum share in terms of IoT spending worldwide.
Iot can lead to unprecedented efficiencies in the production cycle. Not only do the devices allow for detailed monitoring of all aspects of the complex manufacturing process, they act as Data Funnels – channels through which massive amounts of data can be processed, analyzed, and leveraged for Artificial Intelligence and Machine Learning. The catch is these solutions are difficult to apply if your IoT data isn’t funnelled to the Cloud.
The problem, sometimes, is bandwidth. Not all industrialists have the time or resources to focus on optimizing their IIoT and migrating their data to the Cloud to unlock the true efficiencies AI and ML can provide.
That’s where we often suggest our IoT accelerator package – to help take manufacturing operations to the next-level, we recommend a full on-site assessment, a clear path to get to where they want to go, and a phase 1 delivery of a solution that can transform their pipeline. We help clients migrate their IoT data to the cloud so they can enjoy its full benefits.
How? Through a structured and proven approach:
Week 1: Onsite Workshop
Week 2: Assessment and analysis of Infrastructure
Week 3: Delivery of a prioritized IoT roadmap
Week 4: Strategy to Develop full IoT roadmap
Week 5: Data Funnelled to Cloud and Visualized with Power BI
Just as an example of how this process has helped:
A Tier-1 Manufacturer’s facility had no metrics on when to anticipate unexpected downtime events. They had droves of historical data and real-time fabrication data, which they suspected could be used to predict assembly line defects, but lacked the bandwidth and expertise to put their plan into action.
Combining the historical and real-time data and leveraging the Microsoft Azure cloud, we built a predictive algorithm to suggest optimal maintenance windows to ensure “the line continues”, eliminating the headache of unexpected repairs and saving time, as well as unnecessary costs.
Manufacturing facilities that employ a well-structured IoT system which funnels into a cloud environment are set to enjoy benefits like overall cost reduction, productivity improvements, near-perfect quality control, and more. If you’re searching for a solution like this, or even if you’d like to have a conversation about how IoT, Cloud Computing, and AI can help – drop us a line at Data@Lixar.com.
Want to talk to us in person? Join us at Future of Operations in Calgary, on Tuesday, January 29th, 2019. Discover the latest trends in the application of Artificial Intelligence and Internet of Things. See the lessons learned from successful project implementations and understand the path you can take to implement analytics in your own environment.