Digital twin technology helps organizations to use real-time data, mockups, algorithms, and AI to create a virtual depiction of a physical object, process, or service.
May 9, 2022
Experts agree that, among other tools, digital twins are emerging as stars of smart factories. These are 3D duplicates of parts, products, and buildings.
Today, there are myriad ways to breathe new life into existing gages without the need to invest in new gaging. Users are familiar with the gages they have. They may be under quality control cycles, are easy to use, provide good results, and have proven themselves over time.
Quality control has long been an integral part of the production process by contributing to smooth operations and avoiding extra costs. Today, we are seeing significant changes to the industrial metrology market due to the rising demand to collect data for statistical and monitoring analysis.
Quality 4.0 integrates the features from Industry 4.0 with traditional quality tools to achieve operational excellence, improved overall performance, and innovation. Quality 4.0 combines people, processes, and technologies to accomplish these goals, along with complete digitalization of quality management systems theory.
Starrett is offering a comprehensive white paper that discusses why traditional approaches to measurement data collection are inefficient and error-prone without the ability to support IoT/ Industry 4.0.
Predictive tools, standardized data, and self-learning production systems can go a long way in helping manufacturers save energy and minimize their environmental footprints.
As energy becomes more expensive and sustainability more prized, manufacturers are under the gun to reduce energy consumption. Process monitoring, which standardizes and optimizes manufacturing processes— helps to make this possible in the age of Industry 4.0.
With the introduction of augmented reality into assembly and inspection processes, cutting-edge industry 4.0 research is uncovering best practices to maximize quality.