Tuesday, 6 April, 2021 UTC
Summary
Accelerated progress in Manufacturing towards Digital Transformation post Covid-19
Disruptive technologies have revitalized manufacturing at other times in history, just as these current technologies are doing today. The current collection of disruptive technologies has been grouped together as Industry 4.0. Four principles make up the focus of Industry 4.0: interoperability, information transparency, technical assistance from artificial intelligence, and the decentralization of decision-making.
Implementation of Industry 4.0 was moving forward, but for many at a controlled pace. And then during the Covid-19 Pandemic ,the industrialists started questioning on What’s ahead for the digital tools that proved their worth during the pandemic.
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Rethinking the existing norm was critical ! The pandemic galvanized the industry to establish new norms that will have impactful, transformative effects for decades to come. And as we enter almost more than a year of operating within a new norm, 2021 will continue to see the entire manufacturing ecosystem innovate, thanks to the continued adoption of new technologies at record pace.
While manufacturers were already adopting technology, the rate of that adoption has been pushed by the pandemic.
Here are few trends to be on the lookout :
Connected remote work will become the norm, rather than the exception.
A culture shift is happening, where even the most conservative companies are realizing the benefits and ease of connectedness that digital collaboration tools can bring.
The 5G Effect : 5G use cases will emerge, with manufacturing leading the way.
Unquestionably, 5G will play an important role in Industry 4.0’s transformation, with endless promises .From enabling warehouse automation, to collecting and structuring industrial data for the cloud, and serving AR/VR content to factory technicians for machine diagnostics.
Artificial Intelligence and Machine Learning will be effective to mitigate Covid-19 cases on the shop floor.
Artificial intelligence (AI) and machine learning (ML) have the potential to fill the gaps between employees and physical machinery. AI can free workers from repetitive processes and automatically reassign workers to distanced stations. It can enable more machines to be remotely monitored through dashboards and performance reviews, and detect quality and conformance conditions around the clock.
As manufacturers adopt new technology, many are moving to increasingly sophisticated smart tools. Manual inspection is getting replaced with visual inspection. AI is replacing human workers. Manual expert Assistance is replaced by Remote Assistance . Robots have already replaced jobs. Technology will allow workers to be more productive, but it won’t replace them. Technology is empowering people to be more efficient, but not eliminated.
Manufacturers have a lot to be proud of over a difficult 2020. They’ve navigated through unique challenges and ended up in a better place by reevaluating technology across their Manufacturing operations.
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https://medium.com/media/1e1f2ee7654748bb938735cbca6f0fd3/hrefAccelerated progress in Manufacturing towards digital transformation post Covid-19 was originally published in AR/VR Journey: Augmented & Virtual Reality Magazine on Medium, where people are continuing the conversation by highlighting and responding to this story.