Effect of Measurement Error on SPC

Slides:



Advertisements
Similar presentations
Common Cause Variation
Advertisements

1 © The McGraw-Hill Companies, Inc., 2006 McGraw-Hill/Irwin Technical Note 9 Process Capability and Statistical Quality Control.
Operations Management Supplement 6 – Statistical Process Control © 2006 Prentice Hall, Inc. PowerPoint presentation to accompany Heizer/Render Principles.
Version 2005_1SPC Design1 S tatistical P rocess C ontrol S P C.
ISEN 220 Introduction to Production and Manufacturing Systems Dr. Gary Gaukler.
6-1 Is Process Stable ? The Quality Improvement Model Use SPC to Maintain Current Process Collect & Interpret Data Select Measures Define Process Is Process.
Chapter 5. Methods and Philosophy of Statistical Process Control
Agenda Review homework Lecture/discussion Week 10 assignment
 Variable - a single quality characteristic that can be measured on a numerical scale.  When working with variables, we should monitor both the mean.
Copyright 2006 John Wiley & Sons, Inc. Beni Asllani University of Tennessee at Chattanooga Statistical Process Control Operations Management - 5 th Edition.
4-1 Collect & Interpret Data The Quality Improvement Model Use SPC to Maintain Current Process Collect & Interpret Data Select Measures Define Process.
Eng. Mgt. 385 Statistical Process Control Stephen A. Raper Chapter 9 – Statistical Analysis of Process Capability and For Process Improvement.
Problem 3.1. Plot of raw data R-chart What about subgroup 8? Raw data indicates a possible outlier. May also be isolated special cause. Check measurement.
8-1 Quality Improvement and Statistics Definitions of Quality Quality means fitness for use - quality of design - quality of conformance Quality is.
Quality Control Methods. Control Charts > X (process location) >S (process variation) > R (process variation) > p (proportion) > c (proportion)
Statistics 800: Quantitative Business Analysis for Decision Making Measures of Locations and Variability.
Rev. 09/06/01SJSU Bus David Bentley1 Chapter 10 – Quality Control Control process, statistical process control (SPC): X-bar, R, p, c, process capability.
© 2000 by Prentice-Hall Inc Russell/Taylor Oper Mgt 3/e KR: Chapter 7 Statistical Process Control.
Chapter 6 – Part 4 Process Capability.
Statistical Process Control. Overview 1.Definition of Statistical Process Control 2.Common causes and assignable causes of variation 3.Control charts.
Chapter 36 Quality Engineering Part 2 (Review) EIN 3390 Manufacturing Processes Summer A, 2012.
 Review homework Problems: Chapter 5 - 2, 8, 18, 19 and control chart handout  Process capability  Other variable control charts  Week 11 Assignment.
Chapter 13 Statistical Quality Control Method
Brian Macpherson Ph.D, Professor of Statistics, University of Manitoba Tom Bingham Statistician, The Boeing Company.
Chapter 6 Business and Economic Forecasting Root-mean-squared Forecast Error zUsed to determine how reliable a forecasting technique is. zE = (Y i -
Chapter 15 Basic Statistics. §15.1 thru 15.4 – Graphs Bar graphs – Example 1 p. 483 – Problems 15.1 #18, 20, 22 (p. 483) Circle graphs – Figure 15.2 p.
Process Capability Studies Before performing a process capability study the process must be stable. The natural behavior of a process is termed its process.
Histograms. Grouped frequency distribution Shows how many values of each variable lie in a class. Some information is lost. When presenting this information.
Measures of Center vs Measures of Spread
Statistical Process Control (SPC). What is Quality?  Fitness for use  Conformance to the standard.
Quality Control  Statistical Process Control (SPC)
Montana High School Survey Percentage of students who had ever been told by a doctor or nurse that they had asthma Q85 - Weighted Data *Non-Hispanic. Missing.
The General Linear Model. Estimation -- The General Linear Model Formula for a straight line y = b 0 + b 1 x x y.
10 March 2016Materi ke-3 Lecture 3 Statistical Process Control Using Control Charts.
DATA ANALYSIS AND STATISTICS Methodology for Describing and Understanding VARIABILITY.
R&R Homework Statgraphics “Range Method”. DATA OperatorPartTrialMeasure B B B B B B326.5 B B B C
Insert name of presentation on Master Slide HCAI Charts HCAI Information for Action, November 2010 Presenter: Mari Morgan, Wendy Harrison.
Quality Control Chapter 6. Transformation Process Inputs Facilities Equipment Materials Energy Outputs Goods & Services Variation in inputs create variation.
Chapter 16 Introduction to Quality ©. Some Benefits of Utilizing Statistical Quality Methods Increased Productivity Increased Sales Increased Profits.
Variability. The differences between individuals in a population Measured by calculations such as Standard Error, Confidence Interval and Sampling Error.
Variability.
Tech 31: Unit 3 Control Charts for Variables
PROCESS CAPABILTY AND CONTROL CHARTS
X AND R CHART EXAMPLE IN-CLASS EXERCISE
Agenda Review homework Lecture/discussion Week 10 assignment
What is the point of these sports?
The Certified Quality Engineer Handbook Ch
The Certified Quality Engineer Handbook Ch
Higher National Certificate in Engineering
The Certified Quality Process Analyst Handbook: Process Capability Measures Ch. 20 1st edition Ch. 14 2nd edition Presented by Dr. Joan Burtner Certified.
DSQR Training Process Capability & Performance
The Certified Quality Process Analyst Handbook: Process Capability Measures Ch. 20 1st edition Ch. 14 2nd edition Presented by Dr. Joan Burtner Certified.
Statistical Process Control
Zeros and Negative Exponents
ENGM 621: SPC Process Capability.
Rational and irrational subgrouping
ENGM 620: Quality Management
Special Control Charts II
JMP 11 added new features and improvements to CCB and MSA.
Quantitative Data Who? Cans of cola. What? Weight (g) of contents.
Global Procurement - Supplier Quality Understanding SPC
Process Capability Process limits (The “Voice of the Process” or The “Voice of the Data”) - based on natural (common cause) variation Tolerance limits.
Xbar Chart By Farrokh Alemi Ph.D
First and Last name homeroom
Supplementary Figure S1
BENEFITS OF AUTOMATED SPC
Chapter 8 Alternatives to Shewhart Charts
Presumptions Subgroups (samples) of data are formed.
Statistical Quality Control
The Quality Improvement Model
Presentation transcript:

Effect of Measurement Error on SPC

subgroup weight time 1 3 1 1 -3 2 1 -2 3 1 2 4 1 -4 5 2 -6 6 2 -2 7 2 -5 8 2 -2 9 2 5 10 3 5 11 3 3 12 3 2 13 3 6 14 3 2 15

Consider the following Control Charts R-chart X-bar chart

Suppose that some measurement error was added to the data? Our data should be more “variable” Our estimate of Common Cause variation should increase It affects the variability of our plotted data It affects the upper and lower control limits It obscures Special Cause

As expected it hides Special Cause

Side by side R-charts

Side by side X-bar charts

What about Capability?

Summary Increased Measurement Error will widen Control Limits. Will tend to hide Special Cause when present. Will increase our estimates of Common Cause, σc Will reduce our estimates of Capability indices.

Feedback: Privacy Policy Feedback
Do Not Sell My Personal Information
About project: SlidePlayer Terms of Service

© 2025 SlidePlayer.com. Inc. All rights reserved.