Testing & Quality Control

Measure the variability. Descriptive statistics, quality statistics and SPC, and textile testing of fibres, yarns, fabrics and colour.

• Descriptive Statistics — Summarise and visualise data before analysing it. Learn mean, median and mode, range, variance and standard deviation, percentiles, quartiles and IQR, outliers, skewness and kurtosis, histograms, box plots, scatter plots and probability plots.
• Quality, Reliability & Design of Experiments — Statistics that run factories and test labs. Learn statistical process control (x̄-R charts, control limits, rules), process capability Cp and Cpk, tolerance analysis, reliability statistics (MTBF, hazard, bathtub curve), and design of experiments (factorial designs, main effects and interactions).
• Textile Testing & Quality Control — Measuring and assuring textile quality. Learn sampling and conditioning, fibre testing (HVI, AFIS), yarn testing (count, strength, CSP, evenness, hairiness), fabric testing (tensile, tear, bursting, abrasion, pilling, dimensional stability, air permeability), colour measurement (CIELAB, ΔE) and colour fastness (wash, light, rubbing — grey scale ratings), statistical quality control (mean, CV%, confidence intervals, control charts), and standards (ISO, ASTM, BIS, AATCC) — with Python for strength statistics, CSP and colour difference.