How can a quality engineer accelerate battery production?
It is essential to design with a quality mindset to accelerate battery production. Quality engineers can leverage engineering data, such as 2D or 3D models, to acquire relevant information or perform tolerance evaluations, and the project quality can be monitored and approved in respective milestones.
Why is quality management important in battery manufacturing?
What we are seeing across the battery manufacturing landscape is an extraordinary drive to meet unprecedented demand, and this environment makes digital solutions essential to achieving quality, cost, volume and delivery targets. Quality management is at the heart of these efforts.
What is a smart manufacturing solution for batteries?
As part of the depicted comprehensive flow, two other systems within the smart manufacturing solution for batteries execute the virtually defined control plans digitally. These are the manufacturing execution system (MES) and the laboratory information management system (LIMS).
How can companies accelerate battery production?
If companies are to control and document end-to-end quality while also managing the complexity, innovation, and rapid scale that characterize today’s battery manufacturing ecosystem, they must figure out how to accelerate battery production through the whole product lifecycle and implement a smart manufacturing strategy.
How can a holistic quality program improve battery production?
Auto-translate it into: As the energy transition and electrification of mobility drive the explosive demand for batteries, Christophe Mazeaud, director of Battery Industry Solution, Siemens Digital Industries Software, discusses the key role that a holistic quality program plays in scaling and stabilizing battery production.
How can data analytics help a battery factory improve quality?
For the battery factory to reach the next level of quality and perform predictive quality control, data analytics capabilities within the smart manufacturing solution combine process parameters, image processing, product performance controls and environmental context, and leverages machine learning algorithms.
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