In a recently published article in Machine Design, Rahul Garg, vice president for Industrial Machinery & SMB Programs at Siemens Digital Industries Software, discusses a digital thread approach to engineering that encourages collaboration between engineering disciplines and lead towards a simulation-driven digital twin.
Adopting a digital engineering approach allows machine builders to deliver complex machines to be more competitive. Advanced machine engineering enables the ability to capture and implement design feedback from many internal and external stakeholders. Simulation of the virtual process and the digital twin benefits the development and deployment of an advanced machine.
The challenges of the industrial machine industry are widespread. Machine builders are addressing old legacy technologies and processes that hinder growth. Thus, machine builders are rethinking how to react to changing market demands while optimizing quality.
There is an essential need for highly flexible machines capable of creating a broad range of products. Smarter machines must integrate hardware, software and services into a cohesive environment.
“There is a need for greater automation that drives higher efficiency into their processes while competingly differentiating themselves. Moreover, automation can increase sustainability within their operations while promoting the sustainability goals of their end customers,” says Rahul Garg.
Advanced Machine Engineering drives the creation of next-generation machines, leveraging a cloud-based methodology that promotes collaboration among the essential engineering disciplines leading to a simulation-driven digital twin, resulting in more flexibility while improving quality and time-to-market.
Learn more in the article.
Siemens Xcelerator, the comprehensive and integrated portfolio of software and services from Siemens Digital Industries Software, helps companies of all sizes create and leverage a comprehensive digital twin that provides organizations with new insights, opportunities and levels of automation to drive innovation.
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