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Computer tomography (CT) has traditionally been used in the healthcare field. But, engineers at BMW recently started to use the technology to improve quality. They use it for prototype development, production and analysis, a first in the automotive industry.
Project quality and product quality are different things, but they are inextricably linked—or they should be. It is possible for a project to seem successful and deliver the anticipated result, only to find out later the product is not what was expected.
Ensuring high quality is relatively easy when all you have to do is assemble one small product at a very high volume. Such an item will likely be produced on a high-speed automated assembly system. Assuming there are no issues with the incoming parts, the system will consistently produce perfect assemblies all day long.
Toyota Motor Corp.'s Cambridge North plant in Ontario, Canada, which produces the Toyota Corolla, and Georgetown 3 plant in Kentucky, which produces the Lexus ES, are the joint recipients of the 2018 J.D. Power Gold Plant Quality Award.
Building a car generates massive amounts of data throughout the value chain. The BMW Group uses its Smart Data Analytics digitalization cluster to analyze this data selectively and enhance its production system. Results from intelligent data analysis make an effective contribution towards improving quality in all areas of production and logistics.
If you can’t see it, you can’t measure it, and if you can’t measure it, you can’t improve it! This is the simple mantra of successful manufacturers the world over. Manufacturing excellence can only come from manufacturing visibility.
What’s up with product quality lately? Despite recent efforts to address the issue, quality still plagues manufacturers in a wide variety of industries.
