Adoption of disruptive technologies such as IoT, AI, ML, AR, and Advanced Robotics, hold promise in transforming the manufacturing process.
The COVID-19 pandemic has hit almost all sectors in an unprecedented way, and the manufacturing industry was one of the worst-hit without the availability of manpower and technology support to balance the demand-supply gap.
The manufacturing sector in India is going through extremely uncertain times, and CIOs are pushing to automate their processes through development and innovation to increase efficiencies, save costs, and enhance time to market. With digital transformation remaining the primary focus, the manufacturing industry is looking at leveraging new-age technologies and optimizing their existing IT resources.
Some were quick enough to leverage new-age technologies to enhance their productivity and efficiency. Large manufacturing units who already had robust technology support went in for newer and wider applications of digital technologies and automation to scale up production with a faster uptake of IoT, predictive maintenance, advanced data analytics, and digital twins.
CIOs are leaving no stone unturned in delivering the best for their companies. Several technology leaders in the sector have, for example, relooked at their disaster recovery strategies. Similarly, there has been an increased interest and adoption of new use cases around data analytics and data engineering.
Adoption of disruptive technologies such as IoT, AI, ML, AR, 3D Printing, VR, and Advanced Robotics, hold promise in transforming the manufacturing process. Digitization and implementation of these technologies not only help the manufacturing sector achieve increased efficiency and productivity but also drive quality improvements and customizations. According to a study, CIOs and IT leaders expected AI technology to be most disruptive.
There’s no doubt emerging technologies will play a major role in reshaping business models and provide the much-required impetus for the manufacturing sector to stay afloat.
Among the various disruptive technologies that render the required support, IoT takes a futuristic lead.
Predictive Maintenance, which builds on the four cornerstones of digitalization – interconnectivity, digital data, automation, and value creation - helps in creating compatibility between machines and components by letting manufacturers leverage modern manufacturing capabilities and IT throughout the product lifecycle.
By adopting predictive maintenance technologies companies can schedule maintenance activity of the equipment at the right time, optimize productivity, and thus cut back on operational expenditure.
CIOs are confident that the demand outlook will continue to gradually improve in the days to come.
Although the manufacturing activity has picked up after the easing of lockdown, manufacturers are forced to make course corrections and put the right processes in place to tide over the uncertainties stemming from the pandemic.
