33:799:460 Lecture Notes - Lecture 1: Simple Random Sample, Systematic Sampling, Dmaic

• School: Rutgers University
• Department: Supply Chain Management
• Course: 33:799:460
• Professor: Ajay Das

Document Summary

Operational definition what something is and how to measure it: pick a product/process characteristic and proceed to ctq. The way measurements are being taken (measurement error) Gage linearity and bias report for gage measurement. Same person gets same result when measuring same unit repeatedly. Using the same measurement device and conditions: reproducibility. 2 or more people get the same result when measuring the same unit, same measuring device, and similar conditions: gage r&r gage run chart. Assess variations due to 1. part, 2. measurement tool, or 3. operator. Panel var i abl e: par t id. Total variation (high variation in m. tool defective tool) (no variation in operator operator not defective) (little variation between parts parts not defective) (of varcomp) Sampling: simple random sampling, stratified random sampling sample a proportionate number from each group, systematic sampling sample every nth one, subgroup sampling sample n units every tth time, than calculate the mean for each subgroup.