Track 2 - Wednesday, 9:00am to 10:15AM

Slides:



Advertisements
Similar presentations
Control Charts for Variables
Advertisements

Statistical Process Control
© 2006 Prentice Hall, Inc.S6 – 1 Operations Management Supplement 6 – Statistical Process Control © 2006 Prentice Hall, Inc. PowerPoint presentation to.
1 © The McGraw-Hill Companies, Inc., 2006 McGraw-Hill/Irwin Technical Note 9 Process Capability and Statistical Quality Control.
1 DSCI 3123 Statistical Process Control Take periodic samples from a process Plot the sample points on a control chart Determine if the process is within.
Statistical Process Control Processes that are not in a state of statistical control show excessive variations or exhibit variations that change with time.
An Introduction to Statistical Process Control Charts (SPC) Steve Harrison Monday 15 th July – 1pm Room 6 R Floor RHH.
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.
Process Control Charts An Overview. What is Statistical Process Control? Statistical Process Control (SPC) uses statistical tools to observe the performance.
Chapter 5. Methods and Philosophy of Statistical Process Control
Agenda Review homework Lecture/discussion Week 10 assignment
Control Charts  Control Charts allow a company’s performance over time to be analyzed by combining performance data, average, range and standard deviation.
Copyright (c) 2009 John Wiley & Sons, Inc.
Copyright 2006 John Wiley & Sons, Inc. Beni Asllani University of Tennessee at Chattanooga Statistical Process Control Operations Management - 5 th Edition.
© 2008 Prentice Hall, Inc.S6 – 1 Operations Management Supplement 6 – Statistical Process Control PowerPoint presentation to accompany Heizer/Render Principles.
Quality Control Ross L. Fink. Quality Control n Quality control involves controlling the delivery processes to adhere to the specifications (or product.
Goal Sharing Team Training Statistical Resource Leaders (1)
8-1 Quality Improvement and Statistics Definitions of Quality Quality means fitness for use - quality of design - quality of conformance Quality is.
Chapter 5 The Normal Curve and Standard Scores EPS 525 Introduction to Statistics.
Copyright © 2014 by McGraw-Hill Higher Education. All rights reserved. Essentials of Business Statistics: Communicating with Numbers By Sanjiv Jaggia and.
1 Using Statistical Process Control (SPC) for improved Utility Management Scott Dorner Hach Company Manage and Transform data into information to gain.
Quality Control Methods. Control Charts > X (process location) >S (process variation) > R (process variation) > p (proportion) > c (proportion)
Control Charts.
T T Population Variance Confidence Intervals Purpose Allows the analyst to analyze the population confidence interval for the variance.
© 2000 by Prentice-Hall Inc Russell/Taylor Oper Mgt 3/e KR: Chapter 7 Statistical Process Control.
Control Charts for Attributes
15 Statistical Quality Control CHAPTER OUTLINE
Methods and Philosophy of Statistical Process Control
Statistical Process Control (SPC) By Zaipul Anwar Business & Advanced Technology Centre, Universiti Teknologi Malaysia.
The Bell Shaped Curve By the definition of the bell shaped curve, we expect to find certain percentages of the population between the standard deviations.
Statistical Process Control
Quality Control.
10-1Quality Control William J. Stevenson Operations Management 8 th edition.
THE MANAGEMENT AND CONTROL OF QUALITY, 5e, © 2002 South-Western/Thomson Learning TM 1 Chapter 12 Statistical Process Control.
Chapter 36 Quality Engineering Part 2 (Review) EIN 3390 Manufacturing Processes Summer A, 2012.
Copyright © 2014, 2011 Pearson Education, Inc. 1 Chapter 14 Sampling Variation and Quality.
Statistical Process Control (SPC)
Chapter Six Normal Curves and Sampling Probability Distributions.
Operations Management
Statistical Process Control (SPC). What is Quality?  Fitness for use  Conformance to the standard.
Statistical Quality Control
Copyright © 2012 Pearson Education. Chapter 22 Quality Control.
Quality Control  Statistical Process Control (SPC)
Ex St 801 Statistical Methods Inference about a Single Population Mean (CI)
1 Statistical Process Control Is a tool for achieving process stability improving capability by reducing variability Variability can be due to chance causes.
10 March 2016Materi ke-3 Lecture 3 Statistical Process Control Using Control Charts.
Les Jones IET 603. Shewhart Control Charts for: characteristics such as: length, width, temperature and volume. 1.Understand the statistical basis of.
Control Charts. Statistical Process Control Statistical process control is a collection of tools that when used together can result in process stability.
Chapter 51Introduction to Statistical Quality Control, 7th Edition by Douglas C. Montgomery. Copyright (c) 2012 John Wiley & Sons, Inc.
Section Copyright © 2014, 2012, 2010 Pearson Education, Inc. Lecture Slides Elementary Statistics Twelfth Edition and the Triola Statistics Series.
Tech 31: Unit 3 Control Charts for Variables
PROCESS CAPABILTY AND CONTROL CHARTS
How to use SPC Before implementing SPC or any new quality system, the manufacturing process should be evaluated to determine the main areas of waste. Some.
COMPLETE BUSINESS STATISTICS
Statistical Process Control (SPC)
Agenda Review homework Lecture/discussion Week 10 assignment
IENG 486: Statistical Quality & Process Control
What is the point of these sports?
The Certified Quality Engineer Handbook Ch
The Certified Quality Engineer Handbook Ch
Control Charts - SPC Types of Control Charts:
Why Use Them? By: Marcy Bolek – Alloway
Basic Training for Statistical Process Control
Basic Training for Statistical Process Control
Process Capability.
Statistics Process Control
Breakout 1 – River Birch ABC Wednesday 1:00PM – 2:15PM KPI Reporting & Calculations Scott Dorner – Claros Product Manager, Hach.
Basic Training for Statistical Process Control
Presentation transcript:

Track 2 - Wednesday, 9:00am to 10:15AM Monthly Data Entry Training Making and Saving Layout changes Quick Filter Troubleshooting data

Introduction to Statistical Process Control What is Statistical process control (SPC)? A method of quality control which uses statistical methods. SPC is applied in order to monitor and control a process. Monitoring and controlling the process ensures that it operates at its full potential thus eliminating waste. OR How do I make better beer (Guinness) How do I produce better product (Water/Wastewater)

Introduction to Statistical Process Control If the process has a normal distribution, 99.7% of the population is captured by the curve at three standard deviations from the mean. Stated another way, there is only a 0.3% chance of finding a value beyond 3 standard deviations. Therefore, a measurement value beyond 3 standard deviations indicates that the process has either shifted or become unstable (more variability). Examples of parameters to look at using SPC: Effluent Quality Parameters – BOD, TSS, etc.. Finished Water Quality Parameters – Turbidity, Cl2,etc… Wastewater Process Parameters – MLSS, SRT, F/M Variance between Process and Lab Results Benchmarks - Total Operating Cost/Treated Water, BOD Removed / KWH used ….????

Introduction to Statistical Process Control Control limits are defined as follows: Upper Control Limit (UCL) – Average + 3 * Standard Deviation Upper Warning Limit (UWL) – Average + 2 * Standard Deviation QC Mean – Average Lower Warning Limit (UWL) – Average - 2 * Standard Deviation Lower Control Limit (LCL) – Average - 3 * Standard Deviation Your initial QC Limits should be calculated From data when the process was running well Contains 20 or more data points Takes into account seasonal changes to process

Interpreting SPC control charts All points above or below the Upper and Lower Control Limit 2 Consecutive points are above or below the Warning Limits 7 Consecutive points are on one side of the mean 5 Consecutive points are sloping in one direction The following rules are derived from the “Western Electric Rules” - “The Western Electric Rules were codified by a specially-appointed committee of the manufacturing division of the Western Electric Company and appeared in the first edition of its Statistical Quality Control Handbook in 1956.[2] Their purpose was to ensure that line workers and engineers interpret control charts in a uniform way” - Wikipedia