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End-to-end manufacturers are companies that lead products through the entire manufacturing process, from design to customer delivery. Unlike businesses that manufacture their products with a segmented manufacturing process, end-to-end manufacturers have complete control over the different parts of production, which ultimately affects the time, money, and effort associated with product innovation and time to market.
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But what about product quality? What practices can end-to-end manufacturers adopt to increase quality and deliver high-end products to their customers? Considering that they control the entire manufacturing process, how can they judiciously use quality data from one step to enrich the next?
The challenges of end-to-end manufacturers
Nowadays, competition is strong. Customers demand quality, and they want it delivered at a reasonable price. The market eagerly awaits the launch of new products that are both innovative and attractive. Products must function without any defects for an indefinite period while being continuously improved and updated.
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Comments
Misleading title?
"Automated Quality Control Best Practices for Processes NOT Involved with Chemical Reactors" would probably be a better title. Now I finally understand why a digital twin work environment can work. It works, of course, because if all one does is bend, twist, stretch, mill and machine metal, everything can be scanned with near perfection, "easily" simulated and one doesn't need to look into material composition. Thus, shedding some light on the maturity of digital twins in the biotech or chemical process industry would be really interesting.
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