Industrial Automation has traditionally been centered around the Operational Technologies (OT). Digital manufacturing is a leap forward and is centered around the idea of aligning operational technology (OT), engineering technology (ET) and information technology (IT) to garner greater efficiencies and cost savings. While it is imperative to achieving high levels of sustainable growth and fostering digital innovation, it also requires higher levels of data and software governance, building interoperability and being nimble.
The speed of technology adoption in digital manufacturing is directly reliant upon the existing technology infrastructure. As a result, certain use cases have seen accelerated adoption while many others are experiencing a slow burn and will most likely be embraced gradually over a period of time. Currently, the manufacturing landscape is plagued by multiple inefficiencies which necessitate the adoption of digital technologies. For instance, production processes are far from optimal as all machines are not connected to each other, data exists only in silos, unplanned downtimes cause loss of productivity, asset and worker tracking systems are missing and there is a perceptible lack of IT-OT convergence. Similarly, inbound logistics and SCM are impacted by inefficient vendor-managed inventories, disconnected suppliers and a lack of real-time transparency leading to inaccurate demand forecasting. Finally, this lack of integration exists across IT systems as well with ERP & CRMs not being connected with OT and product ecosystems respectively while sales portals aren’t in alignment with SCM systems.
Happiest Minds addresses these issues with expertise in creating a platform-based approach to digital manufacturing. A platform which can serve as an integration point to various systems in the manufacturing operations and supply chain realms while possibly supporting and servicing end customers. With our strong understanding of the manufacturing ecosystem and deep technical expertise, we help our customers with:
- IoT/Edge Computing
- Cloud Computing
- Big Data systems
- APIs and System Integration
- Advanced Analytics / AI / ML
- Robotics Process Automation
Our primary offerings are described below.