Module 3: Statistical Quality Control Operations Management as a Competitive Weapon.

Slides:



Advertisements
Similar presentations
© 1997 Prentice-Hall, Inc. S3 - 1 Principles of Operations Management Quality Via Statistical Process Control Chapter S3.
Advertisements

© 2006 Prentice Hall, Inc.S6 – 1 Operations Management Supplement 6 – Statistical Process Control © 2006 Prentice Hall, Inc. PowerPoint presentation to.
Operations Management Statistical Process Control Supplement 6
Chapter 9A Process Capability and Statistical Quality Control
Quality Assurance (Quality Control)
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.
Chapter Topics Total Quality Management (TQM) Theory of Process Management (Deming’s Fourteen points) The Theory of Control Charts Common Cause Variation.
Operations Management Supplement 6 – Statistical Process Control © 2006 Prentice Hall, Inc. PowerPoint presentation to accompany Heizer/Render Principles.
Copyright © 2002 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Chapter Seventeen Statistical Quality Control GOALS When.
Quality Control Pertemuan 12 Mata kuliah: J Manajemen Operasional Tahun: 2010.
S6 - 1© 2011 Pearson Education, Inc. publishing as Prentice Hall S6 Statistical Process Control PowerPoint presentation to accompany Heizer and Render.
Chapter 5 Quality Control.
Statistical Process Control. Overview Variation Control charts – R charts – X-bar charts – P charts.
Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall8-1 Chapter 8: Statistical Quality Control.
Chapter 18 Introduction to Quality
Statistical Process Control Managing for Quality Dr. Ron Lembke.
Chapter 10 Quality Control McGraw-Hill/Irwin
S6 - 1© 2011 Pearson Education, Inc. publishing as Prentice Hall S6 Statistical Process Control PowerPoint presentation to accompany Heizer and Render.
© 2008 Prentice Hall, Inc.S6 – 1 Operations Management Supplement 6 – Statistical Process Control PowerPoint presentation to accompany Heizer/Render Principles.
originally developed by Walter A. Shewhart
Outline Statistical Process Control (SPC) Process Capability
CHAPTER 8TN Process Capability and Statistical Quality Control
Transparency Masters to accompany Operations Management, 5E (Heizer & Render) 4-20 © 1998 by Prentice Hall, Inc. A Simon & Schuster Company Upper Saddle.
PowerPoint presentation to accompany Heizer/Render – Principles of Operations Management, 5e, and Operations Management, 7e © 2004 by Prentice Hall, Inc.,
MIM 558 Comparative Operations Management Dr. Alan Raedels, C.P.M.
Total Quality Management BUS 3 – 142 Statistics for Variables Week of Mar 14, 2011.
© 2000 by Prentice-Hall Inc Russell/Taylor Oper Mgt 3/e KR: Chapter 7 Statistical Process Control.
Using Control Charts to Keep an Eye on Variability Operations Management Dr. Ron Lembke.
Statistical Process Control
CHAPTER 10 Quality Control/ Acceptance Sampling McGraw-Hill/Irwin Operations Management, Eighth Edition, by William J. Stevenson Copyright © 2005 by The.
Operations Management
6-1 Miller’s Law  “In order to understand what another person is saying, you must assume it is true and try to imagine what it might be true of.” George.
Statistical Process Control
To accompany Quantitative Analysis for Management, 8e by Render/Stair/Hanna 17-1 © 2003 by Prentice Hall, Inc. Upper Saddle River, NJ Chapter 17.
Quality Control McGraw-Hill/Irwin Copyright © 2012 by The McGraw-Hill Companies, Inc. All rights reserved.
Module 2: Total Quality Management Operations Management as a Competitive Weapon.
THE MANAGEMENT AND CONTROL OF QUALITY, 5e, © 2002 South-Western/Thomson Learning TM 1 Chapter 12 Statistical Process Control.
Statistical Process Control Chapters A B C D E F G H.
© 2003 Prentice-Hall, Inc.Chap 13-1 Business Statistics: A First Course (3 rd Edition) Chapter 13 Statistical Applications in Quality and Productivity.
© 2002 Prentice-Hall, Inc.Chap 15-1 Statistics for Managers Using Microsoft Excel 3 rd Edition Chapter 15 Statistical Applications in Quality and Productivity.
To accompany Quantitative Analysis for Management, 9e by Render/Stair/Hanna 17-1 © 2006 by Prentice Hall, Inc. Upper Saddle River, NJ Chapter 17.
Chapter 10 Quality Control.
Chapter 13 Statistical Quality Control Method
© 2006 Prentice Hall, Inc.S6 – 1 Operations Management Supplement 6 – Statistical Process Control © 2006 Prentice Hall, Inc. PowerPoint presentation to.
Statistical Process Control (SPC)
© 2003 Prentice-Hall, Inc. Quantitative Analysis Chapter 17 Statistical Quality Control Chap 17-1.
Statistical Quality Control
Statistical Process Control. A process can be described as a transformation of set of inputs into desired outputs. Inputs PROCESSOutputs What is a process?
Statistical Process Control. Overview Variation Control charts – R charts – X-bar charts – P charts.
1 Slides used in class may be different from slides in student pack Technical Note 8 Process Capability and Statistical Quality Control  Process Variation.
CHAPTER 7 STATISTICAL PROCESS CONTROL. THE CONCEPT The application of statistical techniques to determine whether the output of a process conforms to.
Quality Control  Statistical Process Control (SPC)
In the name of Allah,the Most Beneficient, Presented by Nudrat Rehman Roll#
© 1998 Prentice-Hall, Inc. Statistics for Managers Using Microsoft Excel, 1/e Statistics for Managers Using Microsoft Excel Statistical Applications.
Quality Control Chapter 6. Transformation Process Inputs Facilities Equipment Materials Energy Outputs Goods & Services Variation in inputs create variation.
MOS 3330 Operations Management Professor Burjaw Fall/Winter
6-1 Miller’s Law  “In order to understand what another person is saying, you must assume it is true and try to imagine what it might be true of.” George.
POPULATION VERSUS SAMPLE
Statistical Process Control
QUALITY CONTROL AND QUALITY ASSURANCE
Statistical Process Control
Statistical Process Control (SPC)
Statistical Process Control
Statistics for Managers Using Microsoft Excel 3rd Edition
10 Quality Control.
10 Quality Control.
Statistical Process Control
Statistical Process Control
Statistical Process Control
Presentation transcript:

Module 3: Statistical Quality Control Operations Management as a Competitive Weapon

2 OM Course Framework 1. Cost - Design & Selection 2. Quality - TQM - SQC 3. Dependability - Project Management - JIT 4. Flexibility - Inventory - Supply Chain - Location - Forecasting - Aggregate Planning

3 Module 03: Statistical Quality Control Learning Objectives At the end of this module, each student will be able to: 1.Discuss SQC background 2.Discuss SQC types and characteristics 3.Explain Statistical Process Control

4 Module 03: Statistical Quality Control 1. SQC Background  Involves collecting, organizing, & interpreting data  Objective: Regulate product quality  Used to Control the process as products are produced Inspect samples of finished products

5 Module 03: Statistical Quality Control 2. SQC Types Statistical Quality Control Process Control Acceptance Sampling Variables Charts Attributes Charts VariablesAttributes

 Characteristics for which you focus on defects  Classify products as either ‘good’ or ‘bad’, or count # defects e.g., radio works or not 2. SQC Characteristics Variables  Characteristics that you measure e.g., weight, length  Whole number or fractional value

7 Module 03: Statistical Quality Control 3. Statistical Process Control Statistical Quality Control Process Control Acceptance Sampling Variables Charts Attributes Charts VariablesAttributes

8 Module 03: Statistical Quality Control Statistical Process Control (SPC)  Statistical technique used to ensure process is making product to standard  All process are subject to variability Natural causes: Random variations Assignable causes: Correctable problems Machine wear, unskilled workers, poor mat’l  Objective: Identify assignable causes

9 Module 03: Statistical Quality Control Control Charts-Theoretical Basis 95.5% of all  X fall within ± 2   X

10 Control Charts-Theoretical Basis

11 Control Charts-Theoretical Basis

12 Control Charts-Theoretical Basis UCL LCL

13 Module 03: Statistical Quality Control Control Chart Purposes  Show changes in data pattern e.g., trends  Show causes of changes in data Assignable causes Natural causes

14 Module 03: Statistical Quality Control SQC Types Statistical Quality Control Process Control Acceptance Sampling Variables Charts Attributes Charts VariablesAttributes

15 Module 03: Statistical Quality Control R Chart  Shows sample ranges over time Difference between smallest & largest values in inspection sample  Monitors variability in process  Example: Weigh samples of coffee & compute ranges of samples; Plot

16 Module 03: Statistical Quality Control  X Chart  Shows sample means over time  Monitors process average  Example: Weigh samples of coffee & compute means of samples; Plot

17 Module 03: Statistical Quality Control SQC Types Statistical Quality Control Process Control Acceptance Sampling Variables Charts Attributes Charts VariablesAttributes

18 Module 03: Statistical Quality Control p Chart  Type of attributes control chart  Shows % of nonconforming items  Example: Count # defective chairs & divide by total chairs inspected; Plot Chair is either defective or not defective

19 Module 03: Statistical Quality Control c Chart  Type of attributes control chart  Shows number of nonconformities (defects) in a unit  Example: Count # defects (scratches, chips etc.) in each chair of a sample of 100 chairs; Plot

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

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