Improve tire manufacturing effectiveness with a process digital twin

The article discusses the concept of a process digital twin for tire manufacturing, which aims to improve the quality and efficiency of the manufacturing process by using digital models and simulations.

Specifically, the article covers:

• Introduction to the process digital twin and the problems it solves in tire manufacturing, such as process variations leading to quality issues and higher production costs.
• How the process digital twin uses multiple AWS services, including AWS IoT Greengrass, AWS IoT Core, and AWS IoT SiteWise Edge, to process data from various sources and optimize the tire building, calendaring, mixing, and curing processes.
• The verified reference architecture for the process digital twin, involving data acquisition, model tuning, and delivering simulation environments and set points for different tire grades.
• The value for customers, such as improved final yield, reduced cost of poor quality, and better utilization of production lines.
• Answers to common stakeholder questions about the features, attributes, risks, and success measures of the process digital twin.
• Conclusion highlighting the benefits of using a process digital twin for end-to-end process optimization and genealogy tracking.