Cyber-physical future of manufacturing
MNCs in India and visionary Indian industrial houses are getting early success from their own implementation of Industry 4.0 practices
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CREATING NEED As Steve Jobs at Apple Computer and Elon Musk at Tesla have shown, success is in creating products and delivering them before customers even feel the need. Photo: Reuters
Industry 4.0 is evolving — in thought and action, in the world and India. From the early hype created by the industrial internet in the US, Germany and lead countries in the connected global economy, it was heartening to see in the recent conference in Delhi organised by the Department of Heavy Industry and CII, that multinational companies in India and visionary Indian industrial houses are getting early successes from their own implementation of Industry 4.0 practices and projects!
A truly compelling industry keynote at the conference delivered by Dr. Jan Mrosik CEO, digital factory division of Siemens, brought the cyber-physical imperatives for competitive manufacturing to the limelight with the concept of digital twins — in product development, production management and performance optimisation. These terms have an uncanny resemblance to the value disciplines approach proposed by celebrated authors Wiersema and Treacy decades ago where they argued that organisations should compete by choosing product superiority, process excellence or customer delight. The difference is that for visionary manufacturers, digital twins can offer the tempting prospect of being excellent at all three!
The most obvious digital twinning is in product design, where CAD/CAM systems now powered by high performance workstations make it possible for collaborative product development with customers to happen and potentially any product from an Adidas or Nike running shoe to a Maserati luxury car to be custom-built for a customer. Automating the design to engineering and production process is where most investments are going in and the transition is being made from automation on the shop floor to autonomous working of interconnected and inter-operable manufacturing execution systems. The digital twin in production simulates the performance of the line with choices of men and machine usage, layouts and throughput speeds to choose an optimum process without expensive trial and error. And finally, having a dynamic feedback loop from the product on the shop floor and in the field enables optimisation to happen during production, commissioning and use to constantly innovate on product and production process even while performance is tracked on a continuous basis.
A truly compelling industry keynote at the conference delivered by Dr. Jan Mrosik CEO, digital factory division of Siemens, brought the cyber-physical imperatives for competitive manufacturing to the limelight with the concept of digital twins — in product development, production management and performance optimisation. These terms have an uncanny resemblance to the value disciplines approach proposed by celebrated authors Wiersema and Treacy decades ago where they argued that organisations should compete by choosing product superiority, process excellence or customer delight. The difference is that for visionary manufacturers, digital twins can offer the tempting prospect of being excellent at all three!
The most obvious digital twinning is in product design, where CAD/CAM systems now powered by high performance workstations make it possible for collaborative product development with customers to happen and potentially any product from an Adidas or Nike running shoe to a Maserati luxury car to be custom-built for a customer. Automating the design to engineering and production process is where most investments are going in and the transition is being made from automation on the shop floor to autonomous working of interconnected and inter-operable manufacturing execution systems. The digital twin in production simulates the performance of the line with choices of men and machine usage, layouts and throughput speeds to choose an optimum process without expensive trial and error. And finally, having a dynamic feedback loop from the product on the shop floor and in the field enables optimisation to happen during production, commissioning and use to constantly innovate on product and production process even while performance is tracked on a continuous basis.
CREATING NEED As Steve Jobs at Apple Computer and Elon Musk at Tesla have shown, success is in creating products and delivering them before customers even feel the need. Photo: Reuters
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