33:799:460 Lecture Notes - Lecture 3: Statistical Process Control, Check Sheet, Scatter Plot

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

Document Summary

Non-statistical methods of analysis: data plots, other (check sheets, diagrams, matrices, and charts) Look for outliers; treat them as signals of special causes. Interpret pattern formed by data points: box plot. Helps identify degree of dispersion, skew, and outliers: time series plot (also called run chart) To find patterns/inter-relationships/possible causes: cause effect matrix. Use when collected relation- strength no data was: pareto chart. Helps break a problem down into its parts and identify which are most important. Understanding the pattern of occurrence for a problem. Judging the relative impact of various parts of a problem. Tracking down the biggest contributors to a problem. Determining where to focus process improvement efforts. If other category is very tall, re-examine and either create a new category or distribute into existing categories. Statistical process control charts (spc: xbar and r charts for continuous data, p charts and c charts for attribute data, statistical tests and visual graphics .