INSPIRATION
The data that IoT devices collect from production lines have great potential to transform manufacturing operations.In the traditional system, all the data handling and analysis activities take place through the in-house hardware and servers. This adds the cost of setting up and maintaining expensive IT infrastructure and also restricts the accessibility of data to remote workforces. Cloud-based systems avoid the need for
costly computer hardware and servers and allow the sharing of data over a wider platform. Cloud computing is one of the well-established manufacturing trends that enables on-premises users and remote workforces to collaborate in real-time effectively. The cloud approach in manufacturing is faster, improves manageability, and reduces maintenance.
Hefx (2019, Maceió, Brazil) is a Brazilian startup offering cloud software for managing assets and maintenance operation of a production line. The startup’s solution is a fully online asset management solution that collects all the machine data and analyses it on a cloud platform. The software uses this information in planning interventions, preventive maintenance, and setting calibration schedules. This avoids unplanned stoppages of equipment and machinery, reduces maintenance costs and accelerated depreciation, and aids managers make informed decisions. By maintaining a strict maintenance schedule and carrying out preventive repairs the solution increases the useful life of equipment without the need for onsite IT infrastructure.
Ridge (2018, Boston, USA) is a US-based startup that develops an API (Application Programming Interface) that connects all the components of a distributed cloud infrastructure. The platform enables interoperability with any hybrid or multi-cloud compute environment. Ridge cloud’s solution enables facilities in diverse locations to all have reliable, low-latency connectivity to the cloud. The massively distributed infrastructure of Ridge cloud ensures multi-site manufacturing companies have their resources available even in the most remote locations. Thus the startup’s solution overcomes the challenges of data and knowledge sharing in multi-site manufacturing.
