Company Size
11-200
Region
- America
- Asia
- Europe
Country
- Denmark
Product
- Factbird
Tech Stack
- EMnify Rest-API
- AWS
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Customer Satisfaction
- Productivity Improvements
Technology Category
- Platform as a Service (PaaS) - Connectivity Platforms
Applicable Functions
- Discrete Manufacturing
Use Cases
- Factory Operations Visibility & Intelligence
- Predictive Maintenance
Services
- Cloud Planning, Design & Implementation Services
About The Customer
Blackbird is a company based in Denmark with a workforce of 11-50 employees. They provide solutions that allow manufacturers to digitalize their production lines, helping them become more efficient and competitive. Blackbird developed Factbird, an innovative IoT device that can be easily integrated into existing production lines. Factbird devices measure various sorts of data like the number of units used in a certain timeframe or the temperature of materials. This data enables real-time line efficiency analysis that helps to optimize production processes. Blackbird has deployed thousands of devices in production lines with customers in 16 countries and 4 continents.
The Challenge
Blackbird, a company that provides solutions for manufacturers to digitalize their production lines, was facing challenges with their existing telecom provider. They were in need of a better connectivity provider that specializes in M2M communication, facilitates reliable and secure data collection, provides real-time data about device location and connectivity, is available globally, provides flexible IoT data plans, and offers mobile connectivity. The company was also looking for a technology that can be easily integrated into existing production lines and is reliable enough to allow customers to monitor critical business processes uninterrupted.
The Solution
Blackbird partnered with EMnify, a global carrier that focuses on and understands the challenges of IoT Enterprises. EMnify offers real-time data in the Connectivity Management platform and its Rest-API is integrated into Blackbird's application, allowing Blackbird customers to see and blacklist networks. EMnify perfectly integrates Blackbird’s cloud infrastructure into their AWS environment and its dynamic Regional Internet Breakout (RIB) infrastructure enables data transfers while significantly reducing the ping time. EMnify also provides flexible traffic pooling capabilities which is cost effective.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
![](/files/casestudy/Remote-Monitoring---Predictive-Maintenance-App-for-a-Solar-Energy-System.png)
Case Study
Remote Monitoring & Predictive Maintenance App for a Solar Energy System
The maintenance & tracking of various modules was an overhead for the customer due to the huge labor costs involved. Being an advanced solar solutions provider, they wanted to ensure early detection of issues and provide the best-in-class customer experience. Hence they wanted to automate the whole process.
![](/files/casestudy/Predictive-Maintenance-for-Industrial-Chillers.png)
Case Study
Predictive Maintenance for Industrial Chillers
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.
![](/files/casestudy/Aircraft-Predictive-Maintenance-and-Workflow-Optimization.png)
Case Study
Aircraft Predictive Maintenance and Workflow Optimization
First, aircraft manufacturer have trouble monitoring the health of aircraft systems with health prognostics and deliver predictive maintenance insights. Second, aircraft manufacturer wants a solution that can provide an in-context advisory and align job assignments to match technician experience and expertise.
![](/files/casestudy/Integral-Plant-Maintenance.png)
Case Study
Integral Plant Maintenance
Mercedes-Benz and his partner GAZ chose Siemens to be its maintenance partner at a new engine plant in Yaroslavl, Russia. The new plant offers a capacity to manufacture diesel engines for the Russian market, for locally produced Sprinter Classic. In addition to engines for the local market, the Yaroslavl plant will also produce spare parts. Mercedes-Benz Russia and his partner needed a service partner in order to ensure the operation of these lines in a maintenance partnership arrangement. The challenges included coordinating the entire maintenance management operation, in particular inspections, corrective and predictive maintenance activities, and the optimizing spare parts management. Siemens developed a customized maintenance solution that includes all electronic and mechanical maintenance activities (Integral Plant Maintenance).
![](/files/casestudy/Asset-Management-and-Predictive-Maintenance.png)
Case Study
Asset Management and Predictive Maintenance
The customer prides itself on excellent engineering and customer centric philosophy, allowing its customer’s minds to be at ease and not worry about machine failure. They can easily deliver the excellent maintenance services to their customers, but there are some processes that can be automated to deliver less downtime for the customer and more efficient maintenance schedules.