Smart manufacturing is taking center stage in 2022, bridging the gap between the design and manufacturing environments to enable collaboration with intelligent data exchange formats.
In a recent article in sme.org, Rahul Garg, Vice President, Industrial Machinery & SMB Program, Siemens Digital Industries Software, discusses how digital transformation is enabling smart manufacturing to validate and manage modern manufacturing and assembly operations, achieving optimum quality with less cost, reaping a wealth of benefits: connectability, adaptability, predictability and extendability.
Smart manufacturing reduces time-to-market and development costs through improved planning, faster validation of production alternatives, and growing operational efficiency and manufacturing performance.
It is a process that delivers a fully IoT-interconnected environment where every factory machine, system or database provides insight from vital data using a low- or no-code tool interface. Teams can respond to issues remotely in real time, with the factory operating efficiently, whether people are there physically or not.
Concurrently, with continuing pressure to build and deliver innovative products quickly, customers desire personalization and customization. In this ever-changing marketplace, there is also an essential need for flexibility, efficiency and quality. So, a comprehensive digital enterprise opens the door to new and innovative business areas in all industries by responding to customer requests and market demands swiftly. There is also a resiliency advantage when unexpected interruptions transpire. So, this methodology provides priceless benefits: quality, operation, speed and a competitive advantage.
Digitalization via smart manufacturing uses specialized software. Smart manufacturing is a multidisciplinary approach using a comprehensive digital twin of the machine and manufacturing process. So, correct software is essential. For instance, engineers provide the best design to balance cost and durability based on machine dynamics; subsequently, based on up-front simulation.
Learn more in Rahul’s sme.org article.
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About the author:
Rahul Garg is Vice President of Industrial Machinery and the SMB Program for Siemens Digital Industries Software. He and his team are responsible for identifying and delivering strategic initiatives and developing solutions for the industry, working closely with industry-leading customers and providing thought leadership on new, emerging issues facing the machinery industry. Rahul’s experience and insights are derived from a 25-year career of delivering software-based solutions for product engineering and manufacturing innovation for the global manufacturing industry. He has held leadership positions in multiple areas, including research and development, program management, sales and P&L management, having focused exclusively on the industrial machinery and heavy equipment industry since 2007. Rahul holds a master’s degree in Computer Science from Wayne State University, with a concentration in Operations Management and Strategic Marketing, as well as a Bachelor of Computer Engineering degree in Computer Engineering from Bombay University.