Rapid factory evolution for the automotive industry
Modernize your legacy equipment to drive outcomes with intelligent technologies
Automotive manufacturers are turning to plant modernization and digitalization due to challenges with stricter regulations, increasing complexity, component shortages, and a talent crisis. Fortunately, Smart Manufacturing enables a company's factory to evolve quickly. But, while it may be desirable to start with brand new equipment, most companies must optimize CAPEX and explore ways to upgrade and modernize existing equipment and facilities to make them more intelligent and efficient, minimizing disruptions.
In this webinar, learn about Smart Manufacturing solutions for automotive manufacturers that can help modernize their existing OT/IT landscape with minimal downtime and costs while achieving improved operational transparency driving faster cycle times and improving quality. Taking a cloud-based SaaS environment helps drive Digital Transformation with agility, flexibility & time to value across the organization at scale and meeting the needs of industrial cybersecurity. Register now!
Quickly achieve manufacturing targets by leveraging automation, software, and hardware
Discover the many facets to the factory evolution process:
- The use of virtual "Digital Twin" representations of manufacturing cells, lines, and entire factories to quickly evaluate improvements and new proposals.
- Improve product and process quality through robust virtual planning and data analytics tools
- Strong data management backbone, supported by advanced modern connectivity through IIoT technology, leveraging standardized automation libraries to get lines up and running faster based on best practices.
Seznamte se s přednášejícími
Greg Roth
Vedoucí řešení pro odvětví automobilového průmyslu a dopravy
Greg Roth je vedoucím řešení pro odvětví automobilového průmyslu a dopravy ve skupině Industries Group ve společnosti Siemens Digital Industries Software.
Dříve působil ve společnostech Ford Motor Company, Eaton Corporation a Amcor Packaging. Nedávno působil také jako hlavní inženýr oddělení CAE a NVH ve společnosti ZF-TRW Automotive North America Braking Systems v Livonii ve státě Michigan.
V rámci své současné funkce se věnuje technologiím a procesům CAD, CAE a PLM a nabízí je společnostem na globální úrovni, čímž jim pomáhá dosáhnout výrazného snížení nákladů a času na vývoj výrobků a zároveň zlepšit celkovou kvalitu výrobků.
Greg Roth získal titul M.S. v oboru strojního inženýrství na Michiganské univerzitě, titul M.S. v oboru elektroniky a počítačového řízení na univerzitě Wayne State University a titul B.S. v oboru strojního inženýrství na Michiganské státní univerzitě.
Bryan Carr
Solution Consultant for Automotive and Transportation
Bryan Carr is a Siemens Solution Consultant with over two decades of experience. In his time with Siemens, he has held many job functions and has had the opportunity to work across various industries. Currently, Bryan focuses on helping Automotive OEM and Tier1 companies achieve their Digital Transformation and Industry 4.0 goals. When not expounding upon the virtues of a comprehensive Digital Twin, Bryan can be found standing in the middle of trout streams wishing the fish were just a little easier to catch.
Francis Vatakencherry
Smart Connected Factory IIOT Portfolio Lead
Francis has over 25 years of industry and solution domain experience in the Automotive OEM, Tier 1, and Industrial product industries. He focuses on Digital Transformation initiatives for Siemens' customers in Manufacturing, Operations, and Sustainability leveraging Cloud Solutions. He has a strong track record of building and deploying end-to-end digital transformation solutions with leading Fortune 500 companies in a cloud-based ecosystem. The digitalization efforts in automotive are seeing high-value business outcomes driven by Smart Connected Factories and Sustainability. He is helping customers navigate IT & OT convergence with open, flexible, and interoperable market-leading Siemens Xcelerator-based Industrial IoT.