Stascal Process Control—SPC Introducon to Stascal Process Control for Manufacturing Dimensions | Tolerances | Customer Specs | Basic Stascs Process Capability | Fundamentals of Stascal 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 Stascs 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 specificaons, traceability of measurements, record keeping Basic Stascs: Data sets, histograms Mean (average), median, standard deviaon What is a “normal distribuon” of a sample set? Probability Sample set vs. populaon Sample average vs populaon average DAY 2—LAB Working basic stascs and measurement problems using Day 1 concepts. PART 2 - Process Capability, Fundamentals of Stascal 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 variaon, driſt, etc. Concept of assignable causes of variaon 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 Stascal Process Control DAY 4—LAB Working basic SPC problems using Day 3 classroom concepts. DAY 5—CLASSROOM— with examples Difference between variables data and aributes data Applied stascs for aributes data DAY 5—LAB Working basic SPC problems for aributes data St. Cloud Technical & Community College: Training Center 1215 15 th St. N., Saint Cloud, MN 56303 Please contact Tricia Simon 320-308-5682
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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
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