Statistical Process Control in Knitting Quality Management
topic
Statistical process control in knitting quality management applies control charts for stitch length, fabric weight, bursting strength, and defect frequency data collected from production sampling, with Western Electric rules detecting out-of-control conditions including individual point violations, runs, and trends that indicate process changes requiring investigation before quality specifications are exceeded and defective fabric is produced.
Role
Transforms quality measurement data from passive record-keeping into active process control by detecting systematic process changes and developing trends before specification limits are exceeded, enabling corrective action timing that prevents defective fabric production rather than detecting it after the fact through final fabric inspection that cannot recover the production cost of defective rolls already manufactured.
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