Statistical Process Control—SPC Introduction to Statistical Process Control for Manufacturing

Dimensions | Tolerances | Customer Specs | Basic Statistics

Process Capability | Fundamentals of Statistical Process Control

10-Hour Course, 2 Hours per Session, 5 Sessions For Quality Control, Inspectors, Machinists, and Engineers

PART 1 - Dimensions, Tolerances, Customer Specs, Basic Statistics DAY 1—CLASSROOM—with examples Review of dimensions, tolerances, allowances / fits Unilateral vs bilateral tolerances Concept of mid-point or nominal size may not be the preferred “best-part” Size Customer specifications, traceability of measurements, record keeping

Basic Statistics: Data sets, histograms Mean (average), median, standard deviation What is a “normal distribution” of a sample set? Probability Sample set vs. population Sample average vs population average

DAY 2—LAB Working basic statistics and measurement problems using Day 1 concepts.

PART 2 - Process Capability, Fundamentals of Statistical Process Control DAY 3—CLASSROOM— with examples Concept of natural process range or process limits

Understand why this is NOT in any way related to part feature tolerances “Spec Limits” vs. “Control Limits”

Causes of process variation, drift, etc. Concept of assignable causes of

variation vs. external “noise” factors Controllable vs. uncontrollable

causes X-Bar and R-Charts for Variables

Data The 8 industry-standard “out of control signals” for SPC chart reading

PART 3 - Process Capability, Fundamentals of Statistical Process Control DAY 4—LAB Working basic SPC problems

using Day 3 classroom concepts.

DAY 5—CLASSROOM— with examples Difference between variables data and attributes data Applied statistics for attributes

data

DAY 5—LAB Working basic SPC problems for

attributes data

St. Cloud Technical & Community College: Training Center

1215 15th St. N., Saint Cloud, MN 56303

Please contact Tricia Simon 320-308-5682