Why Should Manufacturers Use Factorial Design Instead of Testing One Variable at a Time?
Manufacturing processes involve many variables that work together. Temperature, pressure, cycle time, material properties, and machine speed all influence product quality. Testing only one factor at a time often provides an incomplete picture because it ignores how these variables affect each other. This is why factorial design of experiments has become an important statistical method for process improvement.
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