With Digital Engineering, the future of Industry is Intelligent
Blog: NASSCOM Official Blog
Companies seeking a competitive strategy often raise the issue of digital continuity across engineering and manufacturing with us. The idea is to leverage digital assets consistently, from concept to service models. Engineering-intensive sectors that require more than 500 product development engineers, such as automotive, off-highway vehicles, and industrial equipment, can generate millions of dollars in savings from digital engineering methods. By trimming rework and enabling productivity gains, organizations can use these savings to start a new program with the same capacity or fund a new business initiative. Companies we work with are doing exactly that by implementing more disciplined digital engineering and manufacturing approaches.
Manufacturing today is driven by a range of transformative forces. On the technology side, IoT, additive manufacturing, digital twins, AI, and augmented and virtual reality are recasting traditional manufacturing sectors. Systems closely associated with this transformation, such as PLM, are also undergoing rapid evolution. PLM, which is influenced by trends such as cloud, Industry 4.0, analytics, customer experience, ALM, and digital twin, is an innovation platform that can bolster the digital thread.
Engineering is adopting a holistic digital methodology
Use of digital technologies is not new in engineering and product development. What is new is that organizations need to integrate product development, manufacturing, and product launches into an all-digital perspective by leveraging smarter technologies, more useful data, and better insights. The product-development process needs to shift to a more holistic digital mindset that overcomes silo mentalities and visualizes interdependencies throughout the product cycle.
The varying maturity levels of the digital technologies adopted in each phase, as well as the differing stages in the product cycle at which these improvements take place, disrupt continuity. Smoothing out these inconsistencies can generate significant advantages.
The business value of digital engineering
Three prominent macro factors influence engineering operations: new markets, engineering skills, and new competition. Engineering Services providers must bring in a tighter combination of engineering-domain expertise to converge and integrate the latest technologies for end-to-end digital continuity across the product lifecycle.
The way I look at global industries today, for the ones that are engineering intensive there is great value in transforming core product engineering with next-generation technologies. Manufacturing and related operations are set to be transformed by creating smart, secure, and agile factories. And the products and services business will continue to become even more seamless through ‘servitization’ by harnessing the power of IoT or connected products and digital platforms that enable services around products.
Converging engineering expertise with cutting edge technologies like IoT, AI, ML, Edge computing and cybersecurity is at the core of transforming the value chain. This means greater product success and with digitally connected ecosystems, support and service departments will move from being cost centers to revenue generators. Data-driven services connected to the ongoing use of a product rather than product ownership will be new ways of doing business.
VIVEK KOTRU
Head of Marketing – Digital Engineering and Manufacturing Services
Capgemini
LinkedIn: linkedin.com/in/vivekkotru
Twitter: vivekkotru
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