# Software Quality. Unit 2. Advanced techniques

Save this PDF as:

Size: px
Start display at page:

## Transcription

1 Software Quality Unit 2. Advanced techniques

2 Index 1. Statistical techniques: Statistical process control, variable control charts and control chart for attributes. 2. Advanced techniques: Quality function deployment (QFD), Failure mode and effect analysis (FMEA), Poka-Yoke.

3 Statistical process control (SPC) Process stability observation trough statistical techniques. Continuous process improvement. GOALS: To study the way in which process variables can affect essential characteristic of the product or service.

4 Statistical process control (SPC) SPC is a tool which permits to predict, reduce and maintain variations within reasonable limits. It is possible to find out: Controllable variables (assignable causes): changes in the raw material, breakdown in the machinery... Uncontrollable variables (non assignable causes): random variables

5 Statistical process control (SPC) A process is said to be under statistical control when it is only affected by random variables due to non assignable causes. If it is also affected by assignable causes, it is said that the process is out of statistical control. In SPC variations are measured, it is study their causes and they are corrected.

6 Control Charts It is a plotting graph in which a central line and tolerance limits (upper and lower) appears. This lines permit to study the variation of a determine variable (plotted values) with respect to the central line. To do that, samples are periodically taken during the manufacturing process. The average and variability of the process are studied, and the process are kept under statistical control.

7 Size Control Charts Sample number Size Tolerance Control Chart UTL LTL Sample number

8 Control Charts Two types: By variable: the variation of a measurable characteristic is controlled. By attributes: it is controlled if a determined condition is satisfied.

9 Variable Control Charts Normal Distribution Gauss bell 66,26% 95,44% 99,73%

10 Variable Control Charts To know if a process following a Normal distribution is under statistical control, it is needed to calculate Upper and Lower x Control limits: LCS LCI With these limits, it is assured that the 99.73% of the measured values are within limits. x x 3 3

11 Size Variable Control Charts Sample number UCL UTL x LTL LCL

12 Control Charts for Attributes They are used when measurements are not possible, for example, scratches, damages, etc. These controls are made at the end of the process, when defects are presented. They are necessary to assure product quality. One of the most used is the p chart. The p chart is used to report the proportion of nonconforming unit in a sample or subgroup.

13 Control Charts for Attributes From data the proportion of nonconforming units are calculated for each one of the samples (p%) p%, the average of the p%, and control limits are then calculated. p%( 100 UCL p p% 3. n p%) p% ( 100 LCL p p% 3. n p%)

14 p% Control Charts for Attributes Sample number Number inspected Number nonconforming Proportion %p 5,0 5,0 2,5 12,5 5,0 10,0 2,5 5,0 2,5 7,5 p% = 5,75 UCL= 16,79 LCL= - 5,29 20,0 18,0 16,0 14,0 12,0 10,0 p Chart of nonconforming unit UCL 8,0 6,0 4,0 2,0 p% 0,

15 Process Capability It is said that a process or machine is capable when they meet specifications. Process capability is not only used to assure that process are under statistical control, but also to minimize the number of nonconforming units.

16 Length Process Capability A process with UCL > UTL (Upper Tolerance Limit) can produce nonconforming products Sample number UCL USL x LSL LC

17 Process Capability When a process follows a normal distribution, the process is in statistical control, process capability is equal to 6. Thus, if we are capable of designing processes so that UTL LTL > 6, it is possible to assure that practically all the products are in tolerance zone. LTI LTS 99,73% LTS-LTI

18 Capability Index Capability index is the relation between tolerance and process capability ( 6 ). UTL LTL C p 6σ If 1 process produces nonconforming units. C p If C p 1,33 process is capable, and values are in tolerance zone.

19 Capability Index A process with C p 1,33 can produce units out of limits, when the process is not centered. They are defined Upper and Lower capability index as follow: C pu UTL 3σ x C pl x - LTL 3σ

20 Capability Index A process is said to be centered iff: (C pl = C p = C pu ) If Cp > CpL, the process is off-center towards lower tolerance limit. If Cp > CpU, the process is off-center towards upper tolerance limit.

21 Sampling plans It is an acceptation by inspection technique. A shipment or lot is accepted if a small sample of the product meets specifications.

22 Sampling plans PROBLEMS: How to determine the size of the sample? Which criteria use to accept or reject the lot?

23 Sampling plans SOLUTIONS: Characteristic function of defect per lot. Specific software for determining UNE tables.

24 Quality Function Deployment (QFD) It is a very useful tool to: Know customer wishes. Define product or service characteristics and requirements. Reduce development time. Reduce complaints. Remove non valuable processes.

25 Quality Function Deployment (QFD) House of quality is the primary tool used in QFD. It is a matrix in which Customer Requirements (CR) are correlated with prioritized Technical Descriptors(TD).

26 Quality Function Deployment (QFD) Steps to build up the matrix: 1. List Customer Requirements (WHATs). 2. Group customer data. 3. Assign priorities to CR s. 4. List Technical Descriptors (HOWs). 5. Group technical descriptors (affinity diagram).

27 Quality Function Deployment (QFD) 6. Develop a relationship matrix between WHATs & HOWs. 7. Develop an interrelationship matrix between HOWs. 8. Competitive assessment (compare with current products in the market).

28 Quality Function Deployment (QFD) 9. Develop objective measures per Technical Descriptor (TD). 10.Establish objectives per TD. 11.Select TD of urgent attention.

29 Quality Function Deployment (QFD) Image from the book CALIDAD. Pablo Alcalde San Miguel. Ed. THOMSON Paraninfo

30 Failure Mode and Effect Analysis (FMEA) FMEA is a preventive and multidisciplinary teamwork technique that it is performed in a planned and systematically way in order to detect failures in a design, product or service.

31 Failure Mode and Effect Analysis (FMEA) TYPES of FMEA: Design FMEA: It is focused into product and component design. Will reduce development time and cost of manufacturing process. Process FMEA: It is utilized to identify potential process failure modes by ranking failures and helping to establish priorities according to relative impact on the internal or external customer.

32 Failure Mode and Effect Analysis (FMEA) OBJECTIVES: Recognize and evaluate the potential failure of a product or process and its effects. Identify actions that could eliminate or reduce the chance of the potential failure occurring. Analyze and evaluate the efficacy of the adopted actions and provided resources.

33 Failure Mode and Effect Analysis (FMEA) Steps to follow: 1. Set up the working team. 2. Define process / product functions. 3. Predict potential failure modes. 4. Identify potential failures effects. 5. Analyze possible failure causes.

34 Failure Mode and Effect Analysis (FMEA) 6. Identify current control systems. Steps to follow: 7. Determine assessment index per failure mode. 8. Plan improvement actions. 9. FMEA revision and traceability.

35 Failure Mode and Effect Analysis Example: (FMEA) Perform a product FMEA for a hair dryer fan. Step 2, define product functions. Component fan Function To impel the air To refresh the engine Image from the book CALIDAD. Pablo Alcalde San Miguel. Ed. THOMSON Paraninfo

36 Failure Mode and Effect Analysis (FMEA) Step3, predict potential failure modes. Component Function Failure mode fan To impel the air To refresh the engine Blade breakdown Image from the book CALIDAD. Pablo Alcalde San Miguel. Ed. THOMSON Paraninfo

37 Failure Mode and Effect Analysis (FMEA) Step 4, identify potential failure effects. Component Function Failure mode Failure effect fan To impel the air To refresh the engine Blade breakdown Temperature raising Hair dryer stops User s burns Image from the book CALIDAD. Pablo Alcalde San Miguel. Ed. THOMSON Paraninfo

38 Failure Mode and Effect Analysis (FMEA) Step 5, Analyze possible failure causes (cause-and-effect diagram). Component Function Failure mode Failure effect Failure cause fan To impel the air To refresh the engine Blade breakdown Temperature raising Hair dryer stops User s burns Defect in material composition Defective assembly Image from the book CALIDAD. Pablo Alcalde San Miguel. Ed. THOMSON Paraninfo

39 Failure Mode and Effect Analysis (FMEA) Step 6, Identify current control systems. Component Function Failure mode Failure effect Failure cause Controls fan To impel the air To refresh the engine Blade breakdown Temperature raising Hair dryer stops User s burns Defect in material composition Defective assembly Supplier certificate Automatic auto control Image from the book CALIDAD. Pablo Alcalde San Miguel. Ed. THOMSON Paraninfo

40 Failure Mode and Effect Analysis (FMEA) Step 7, determine assessment index per failure mode. Severity Occurrence Detection Criteria S Criteria O Criteria D Very slow, failure is not perceptible by customer Low, minor disruption to customer Moderate, it produces dissatisfaction in customer High, it produces high dissatisfaction in customer. Very high, it produces standards non conformity or safety problems. 1 Exceptionaly 1 Remote probability failure comes to customer 2-3 Hardly ever 2-3 Low probability failure comes to customer. 4-6 often 4-6 Moderate Frequently 7-8 High probability Almost ever 9-10 Very high probability

41 Failure Mode and Effect Analysis (FMEA) Step 7, determine assessment index per failure mode. Risk Priority Number Component Function Failure mode Failure effect Failure cause Current conditions Controls O S D RPN fan To impel the air To refresh the engine Blade breakdown Temperature raising Hair dryer stops User s burns Defect in material composition Defective assembly Supplier certificate Automatic auto control Image from the book CALIDAD. Pablo Alcalde San Miguel. Ed. THOMSON Paraninfo

42 Failure Mode and Effect Analysis (FMEA) Step 8, to plan improvement actions An individual or group is designed as responsible. A new assessment of failure modes with the actions taken are made. Concrete actions: Changes in product, service or process design Inspection or control increment

43 Failure Mode and Effect Analysis (FMEA) Step 9, FMEA revision and traceability. After corrective actions has been implemented, resulting severity, occurrence and detection ranks should be re-calculated. Periodic reviews are planned to update the FMEA.

44 Poka-Yoke It is a quality technique proposed by a Japanese engineer Shigeo Shingo in the sixties. The term means mistake-proofing. Poka-Yoke refers to a special inspection mechanism which is used primarily to detect and prevent causes of defects in a system. Poka-Yoke is a method of preventing errors by putting limits on how an operation can be performed in order to force the correct completion of the operation.

45 Poka-Yoke CERO DEFECTS A defect is the result or effect of a simple error. With 100% inspections in errors source, defects are removed. 100% inspections have a cost and it must be bounded by the expected profit.

46 Poka-Yoke Shingeo Shingo s CERO DEFECTS : Inspection in error source. 100% inspections using simple and cheap Poka-Yoke systems. Immediate action, operations are stopped when an error occurs. Moreover, they do not continue until cause is remove.

47 Poka-Yoke The ideal is to include Poka-Yokes from design stage. If we don t do that, we are not following the basic quality principle to do it right the first time. Usually, Poka-Yokes are used in combination with other techniques. FMEA is one of them. Through FMEA it is possible to deduce where must be included Poka-Yokes into the process.

48 Poka-Yoke SYSTEM Product or Service Design Process Design Product or Service FMEA Poka-Yoke Process FMEA Poka-Yoke CUSTOMER

49 Improvement Improvement Improvement Zero Defects Evolution 1 st Stage Process 2 nd Stage Etapa Process 3 rd Stage Process 4 th Stage Process 5 th Stage Process Error Error Error Error Error Defect Defect Defect Defect Inspections Inspections Inspections POKA-YOKE Zero Defects Customer Customer Customer Customer Customer Nonconforming products Conforming products Conforming products Conforming products Conforming products

### Learning Objectives. Understand how to select the correct control chart for an application. Know how to fill out and maintain a control chart.

CONTROL CHARTS Learning Objectives Understand how to select the correct control chart for an application. Know how to fill out and maintain a control chart. Know how to interpret a control chart to determine

### Certified Quality Process Analyst

Certified Quality Process Analyst Quality excellence to enhance your career and boost your organization s bottom line asq.org/certification The Global Voice of Quality TM Certification from ASQ is considered

### 3. Deployment CHAMPION (CENTER MANAGER) Master Black Belt. Black Belt (GE-TS group) Black Belt (AUTOMATION group) Black Belt (GE-PS group)

Quality Improvement The Six Sigma Way Mala Murugappan and Gargi Keeni Tata Consultancy Services Abstract Six Sigma provides an effective mechanism to focus on customer requirements, through improvement

### QUIZ MODULE 1: BASIC CONCEPTS IN QUALITY AND TQM

QUIZ MODULE 1: BASIC CONCEPTS IN QUALITY AND TQM These questions cover Sessions 1, 2, 5, 6, 7. The correct answer is shown in bold A fundamental attribute of TQM is Drawing control charts Having team meetings

### Unit 1: Introduction to Six Sigma I

Unit 1: Introduction to Six Sigma I Six Sigma & its Goals Six Sigma as a Performance Measure, Problem Solving Tool, & Management Philosophy Problem Solving Tools Used in Six Sigma & its Evolution Variation

### The Essence of Management

The Essence of Management You cannot manage what you cannot measure. You cannot measure what you cannot operationally define. You cannot operationally define what you do not understand... You will fail

### Aspects of Quality Tools on Total Quality Management

Aspects of Quality Tools on Total Quality Management Kairong Liang SAIC GM Wuling Automobile Co., Ltd. Add: 18 Hexi Road, Liuzhou city, Guangxi 545007, China E-mail: kairong.liang@sgmw.com.cn Abstract

### Unit 1: Introduction to Quality Management

Unit 1: Introduction to Quality Management Definition & Dimensions of Quality Quality Control vs Quality Assurance Small-Q vs Big-Q & Evolution of Quality Movement Total Quality Management (TQM) & its

### Process Capability Studies

Process Capability Studies [The following is based in part on the paper Process Capability Studies prepared by M. Suozzi, Member of the Technical Staff, Hughes Aircraft Company, Tucson, Arizona, 27NOV90]

SAMPLE EXAMINATION The purpose of the following sample examination is to present an example of what is provided on exam day by ASQ, complete with the same instructions that are given on exam day. The test

### CPM -100: Principles of Project Management

CPM -00: Principles of Project Management Lesson C: Quality Management Presented by Jim Lightfoot lightfoj@erols.com Ph: 30-932-9004 Presented at the PMI-CPM 2002 Fall Conference Prepared by the Washington,

### Figure 1: Working area of the plastic injection moulding company. Figure 2: Production volume, quantity of defected parts, and DPPM

1. Title : BLACK DOT DEFECT REDUCTION IN PLASTIC INJECTION MOULDING PROCESS 2. Student Name: Mr. Itthiwat Rattanabunditsakun / ID: 557 12290 21 Advisor Name: Assoc. Prof. Parames Chutima, Ph.D. 3. Problem

### CABM. Certified Associate Business Manager Exam. http://www.examskey.com/cabm.html

APBM CABM Certified Associate Business Manager Exam TYPE: DEMO http://www.examskey.com/cabm.html Examskey APBM CABM exam demo product is here for you to test the quality of the product. This APBM CABM

### STATISTICAL QUALITY CONTROL (SQC)

Statistical Quality Control 1 SQC consists of two major areas: STATISTICAL QUALITY CONTOL (SQC) - Acceptance Sampling - Process Control or Control Charts Both of these statistical techniques may be applied

### The Philosophy of TQM An Overview

The Philosophy of TQM An Overview TQM = Customer-Driven Quality Management References for Lecture: Background Reference Material on Web: The Philosophy of TQM by Pat Customer Quality Measures Customers

### Statistical Process Control OPRE 6364 1

Statistical Process Control OPRE 6364 1 Statistical QA Approaches Statistical process control (SPC) Monitors production process to prevent poor quality Acceptance sampling Inspects random sample of product

### American Society for Quality (ASQ) CERTIFIED SIX SIGMA GREEN BELT (CSSGB) BODY OF KNOWLEDGE 2014

American Society for Quality (ASQ) CERTIFIED SIX SIGMA GREEN BELT (CSSGB) BODY OF KNOWLEDGE 2014 Included in this body of knowledge (BOK) are explanations (subtext) and cognitive levels for each topic

### THE PROCESS CAPABILITY ANALYSIS - A TOOL FOR PROCESS PERFORMANCE MEASURES AND METRICS - A CASE STUDY

International Journal for Quality Research 8(3) 399-416 ISSN 1800-6450 Yerriswamy Wooluru 1 Swamy D.R. P. Nagesh THE PROCESS CAPABILITY ANALYSIS - A TOOL FOR PROCESS PERFORMANCE MEASURES AND METRICS -

### Statistical Process Control (SPC) Training Guide

Statistical Process Control (SPC) Training Guide Rev X05, 09/2013 What is data? Data is factual information (as measurements or statistics) used as a basic for reasoning, discussion or calculation. (Merriam-Webster

### IMPROVING QUALITY WITH IFS QUALITY MANAGEMENT IFS CUSTOMER SUMMIT 2011, CHICAGO

www.ifsworld.com IMPROVING QUALITY WITH IFS QUALITY MANAGEMENT IFS CUSTOMER SUMMIT 2011, CHICAGO KARIN RAINESALO BUSINESS SOLUTIONS CONSULTANT karin.rainesalo@ifsworld.com IFS CUSTOMER SUMMIT 2011, CHICAGO

### Advanced Product Quality Planning and Control Plans based on APQP 2 nd Edition

Advanced Product Quality Planning and Control Plans based on APQP 2 nd Edition Mark A. Morris ASQ Automotive Division Webinar February 8, 2012 mark@mandmconsulting.com www.mandmconsulting.com Five Fundamental

### Lean Six Sigma Analyze Phase Introduction. TECH 50800 QUALITY and PRODUCTIVITY in INDUSTRY and TECHNOLOGY

TECH 50800 QUALITY and PRODUCTIVITY in INDUSTRY and TECHNOLOGY Before we begin: Turn on the sound on your computer. There is audio to accompany this presentation. Audio will accompany most of the online

### SAMPLE EXAMINATION. If you have any questions regarding this sample examination, please email cert@asq.org

SAMPLE EXAMINATION The purpose of the following sample examination is to provide an example of what is provided on exam day by ASQ, complete with the same instructions that are provided on exam day. The

### Product Design. Chapter 5. Product and Service Design. Service Design. An Effective Design Process. Stages In The Design Process

Chapter 5 Product and Service Design Product Design Specifies materials Determines dimensions & tolerances Defines appearance Sets performance standards Service Design Specifies what the customer is to

### Control CHAPTER OUTLINE LEARNING OBJECTIVES

Quality Control 16Statistical CHAPTER OUTLINE 16-1 QUALITY IMPROVEMENT AND STATISTICS 16-2 STATISTICAL QUALITY CONTROL 16-3 STATISTICAL PROCESS CONTROL 16-4 INTRODUCTION TO CONTROL CHARTS 16-4.1 Basic

### Control Charts for Variables. Control Chart for X and R

Control Charts for Variables X-R, X-S charts, non-random patterns, process capability estimation. 1 Control Chart for X and R Often, there are two things that might go wrong in a process; its mean or its

### Instruction Manual for SPC for MS Excel V3.0

Frequency Business Process Improvement 281-304-9504 20314 Lakeland Falls www.spcforexcel.com Cypress, TX 77433 Instruction Manual for SPC for MS Excel V3.0 35 30 25 LSL=60 Nominal=70 Capability Analysis

### SPC Demonstration Tips

Tip Sheet SPC Demonstration Tips Key Points to Cover When Demonstrating Ignition SPC Downtime In general, the SPC Module is designed with a great level of flexibility to support a wide variety of production

### Capability Analysis Using Statgraphics Centurion

Capability Analysis Using Statgraphics Centurion Neil W. Polhemus, CTO, StatPoint Technologies, Inc. Copyright 2011 by StatPoint Technologies, Inc. Web site: www.statgraphics.com Outline Definition of

### Body of Knowledge for Six Sigma Green Belt

Body of Knowledge for Six Sigma Green Belt What to Prepare For: The following is the Six Sigma Green Belt Certification Body of Knowledge that the exam will cover. We strongly encourage you to study and

### MG1352 TOTAL QUALITY MANAGENMENT UNIT I INTRODUCTION PART-A

MG1352 TOTAL QUALITY MANAGENMENT UNIT I INTRODUCTION 1. Define Quality. 2. What are the dimensions of quality? 3. Why quality planning is needed? 4. What are the essential steps of quality planning? 5.

### Six Sigma Continuous Improvement

Chapter 4 Six Sigma Continuous Improvement The signifi cant problems we face cannot be solved at the same level of thinking we were at when we created them. Albert Einstein 4.1 SIX SIGMA CONTINUOUS IMPROVEMENT

### Six Sigma Acronyms. 2-1 Do Not Reprint without permission of

Six Sigma Acronyms \$k Thousands of dollars \$M Millions of dollars % R & R Gauge % Repeatability and Reproducibility ANOVA Analysis of Variance AOP Annual Operating Plan BB Black Belt C & E Cause and Effects

### Confidence Intervals for Cp

Chapter 296 Confidence Intervals for Cp Introduction This routine calculates the sample size needed to obtain a specified width of a Cp confidence interval at a stated confidence level. Cp is a process

### The Original Quality Gurus

The Original Gurus What is a quality guru? A guru, by definition, is a good person, a wise person and a teacher. A quality guru should be all of these, plus have a concept and approach quality within business

### Understanding Process Capability Indices

Understanding Process Capability Indices Stefan Steiner, Bovas Abraham and Jock MacKay Institute for Improvement of Quality and Productivity Department of Statistics and Actuarial Science University of

### CHAPTER 3 STUDY GUIDE TOOLS AND TECHNIQUES FOR QUALITY DESIGN AND CONTROL

CHAPTER 3 STUDY GUIDE TOOLS AND TECHNIQUES FOR QUALITY DESIGN AND CONTROL MULTIPLE CHOICE QUESTIONS. Design for Six Sigma consists of four principal activities. Which of the following is not one of them?

### GLB QM 02. Supplier Quality Manual 03. 7/11/12 Supplier Quality 1 of 18. Revision Level. Issue Date Issuing Department Page

7/11/12 Supplier Quality 1 of 18 7/11/12 Supplier Quality 2 of 18 Table of Contents 1.0 Introduction 3 2.0 Manual 4 2.1 Application 4 2.2 Quality Management System of the Supplier 4 2.3 Quality Management

### Multiplexer Software. www.elcometer.com. Multiplexer Software. Dataputer DATA-XL Software

Multiplexer Software Multiplexer Software There are two ways that data can be collected Electronically, where there is no human intervention, and Manually, where data is collected by the User with the

### Common Tools for Displaying and Communicating Data for Process Improvement

Common Tools for Displaying and Communicating Data for Process Improvement Packet includes: Tool Use Page # Box and Whisker Plot Check Sheet Control Chart Histogram Pareto Diagram Run Chart Scatter Plot

### THE SIX SIGMA BLACK BELT PRIMER

INTRO-1 (1) THE SIX SIGMA BLACK BELT PRIMER by Quality Council of Indiana - All rights reserved Fourth Edition - September, 2014 Quality Council of Indiana 602 West Paris Avenue West Terre Haute, IN 47885

### The Total Quality Assurance Networking Model for Preventing Defects: Building an Effective Quality Assurance System using a Total QA Network

The Total Quality Assurance Networking Model for Preventing Defects: Building an Effective Quality Assurance System using a Total QA Network TAKU KOJIMA 1, KAKURO AMASAKA 2 School of Science and Engineering

### Control Charts and Data Integration

Control Charts and Data Integration The acceptance chart and other control alternatives. Examples on SPC applications 1 Modified Charts If C pk >> 1 we set control limits so that the fraction non-conf.

### Topic 12 Total Quality Management. From Control to Management. Deming s Fourteen Points for TQM

Topic 12 Total Quality Management From Control to Management 1 Inspection Error detection of finished goods Rectification Reading guide: Chapter 20 (Slack et al, 2004) and MGT326 Slides/Handout 1 2 Quality

### Confidence Intervals for Cpk

Chapter 297 Confidence Intervals for Cpk Introduction This routine calculates the sample size needed to obtain a specified width of a Cpk confidence interval at a stated confidence level. Cpk is a process

### Lean Six Sigma Black Belt Body of Knowledge

General Lean Six Sigma Defined UN Describe Nature and purpose of Lean Six Sigma Integration of Lean and Six Sigma UN Compare and contrast focus and approaches (Process Velocity and Quality) Y=f(X) Input

### Certified Six Sigma Green Belt

Certified Six Sigma Green Belt Quality excellence to enhance your career and boost your organization s bottom line asq.org/cert The Global Voice of Quality TM Certification from ASQ is considered a mark

### Total Quality Management TQM Dr.-Ing. George Power. The Evolution of Quality Management

Total Management TQM Dr.-Ing. George Power The Evolution of Management The Evolution of Management Assurance Total Control Companywide Control Mass Inspection Control (Acceptance Sampling) 2 Evolution

### INFLUENCE OF MEASUREMENT SYSTEM QUALITY ON THE EVALUATION OF PROCESS CAPABILITY INDICES

METALLURGY AND FOUNDRY ENGINEERING Vol. 38, 2012, No. 1 http://dx.doi.org/10.7494/mafe.2012.38.1.25 Andrzej Czarski*, Piotr Matusiewicz* INFLUENCE OF MEASUREMENT SYSTEM QUALITY ON THE EVALUATION OF PROCESS

### Root Cause Analysis 1

Root Cause Analysis 1 Root Cause Analysis Root Cause Analysis is a method that is used to address a problem or non-conformance, in order to get to the root cause of the problem. It is used so we can correct

### SPC Response Variable

SPC Response Variable This procedure creates control charts for data in the form of continuous variables. Such charts are widely used to monitor manufacturing processes, where the data often represent

### How Synergy SPC Software Enables a Successful Six Sigma DMAIC Deployment

How Synergy SPC Software Enables a Successful Six Sigma DMAIC Deployment 1 Six Sigma s DMAIC Deployment Model Applying Six Sigma quality management tools allows manufacturers to improve their quality processes

### Tools & Techniques for Process Improvement

Tools & Techniques for Process Improvement Understanding processes so that they can be improved by means of a systematic approach requires the knowledge of a simple kit of ols or techniques. The effective

### STATISTICAL METHODS IN PROCESS MONITORING AND CONTROL Douglas C. Montgomery Arizona State University. Cheryl L. Jennings Motorola, Inc.

STATISTICAL METHODS IN PROCESS MONITORING AND CONTROL Douglas C. Montgomery Arizona State University Cheryl L. Jennings Motorola, Inc. Introduction The quality of products and services is an important

### Lean Six Sigma Training/Certification Book: Volume 1

Lean Six Sigma Training/Certification Book: Volume 1 Six Sigma Quality: Concepts & Cases Volume I (Statistical Tools in Six Sigma DMAIC process with MINITAB Applications Chapter 1 Introduction to Six Sigma,

### CHAPTER 1 THE CERTIFIED QUALITY ENGINEER EXAM. 1.0 The Exam. 2.0 Suggestions for Study. 3.0 CQE Examination Content. Where shall I begin your majesty?

QReview 1 CHAPTER 1 THE CERTIFIED QUALITY ENGINEER EXAM 1.0 The Exam 2.0 Suggestions for Study 3.0 CQE Examination Content Where shall I begin your majesty? The White Rabbit Begin at the beginning, and

### Statistical Process Control (SPC) applied in plastic injection moulded lenses. Jafri Mohd Rohani, Chan Kok Teng

1 Statistical Process Control (SPC) applied in plastic injection moulded lenses Jafri Mohd Rohani, Chan Kok Teng Fakulti Kejuruteraan Mekanikal, Universiti Teknologi Malaysia, 81310, Skudai, Johor Email:

### Reliability Analysis A Tool Set for. Aron Brall

Reliability Analysis A Tool Set for Improving Business Processes Aron Brall ManTech International 1 Introduction Outline Defining Business Process Reliability Quantifying Business Process Reliability Business

### 10 CONTROL CHART CONTROL CHART

Module 10 CONTOL CHT CONTOL CHT 1 What is a Control Chart? control chart is a statistical tool used to distinguish between variation in a process resulting from common causes and variation resulting from

### Statistical Quality Control and Six Sigma

2 Statistical Quality Control and Six Sigma 2.1 Introduction The phrase statistical quality control (SQC) refers to the application of statistical methods to monitor and evaluate systems and to determine

### Lean Six Sigma Tools for Internal Audit

Lean Six Sigma Tools for Internal Audit The fundamental objective of the Six Sigma methodology is the implementation of a measurement-based strategy that focuses on process improvement and variation reduction.

### Development of the statistical process control methods

Challenges for Analysis of the Economy, the Businesses, and Social Progress Péter Kovács, Katalin Szép, Tamás Katona (editors) - Reviewed Articles Development of the statistical process control methods

### Quantum Leap in Defect Reduction Six Sigma / DMAIC Application. Z.Mousavi SSBB, CQE, CRE (ASQ Certified)

Quantum Leap in Defect Reduction Six Sigma / DMAIC Application Z.Mousavi SSBB, CQE, CRE (ASQ Certified) zmtechnical@gmail.com Agenda Introduction Applying DMAIC Steps in a MFG Environment to Improve Quality

### FUSION PRO SOFTWARE. 10 Reasons Why Fusion Pro is the World s Best Design of Experiments Software. S-MATRIX CORPORATION

FUSION PRO SOFTWARE 10 Reasons Why Fusion Pro is the World s Best Design of Experiments Software S-MATRIX CORPORATION www.smatrix.com Contents 1. Workflow Based Expert System Framework... 3 2. Supports

### Quality Management Systems (QMS) for Software

Quality Management Systems (QMS) for Software Preview: This lecture covers the following topics: Historical perspective of QMS Elements of QMS Procedures in a quality management system Statistical Process

### STATISTICAL REASON FOR THE 1.5σ SHIFT Davis R. Bothe

STATISTICAL REASON FOR THE 1.5σ SHIFT Davis R. Bothe INTRODUCTION Motorola Inc. introduced its 6σ quality initiative to the world in the 1980s. Almost since that time quality practitioners have questioned

### Process Quality. BIZ2121-04 Production & Operations Management. Sung Joo Bae, Assistant Professor. Yonsei University School of Business

BIZ2121-04 Production & Operations Management Process Quality Sung Joo Bae, Assistant Professor Yonsei University School of Business Disclaimer: Many slides in this presentation file are from the copyrighted

### TOTAL QUALITY MANAGEMENT

VALLIAMAMI ENGINEERING COLLEGE DEPARTMENT OF MANAGEMENT STUDIES BA7104 TOTAL QUALITY MANAGEMENT UNIT I PART-A 1. Define Total Quality Management. Define manufacturing based view of quality. 2. What are

### Total Quality Management and Cost of Quality

Total Quality Management and Cost of Quality Evsevios Hadjicostas The International Quality movement Operator Quality Control Foreman (Supervisor) Quality Control Full-time Inspectors Statistical Quality

### Six Sigma Project Charter

rev 12 Six Sigma Project Charter Name of project: Reduce the time of producing admissions dashboard reports Green belt: Yes Submitted by: Xingming Yu e-mail: yu46@purdue.edu Date submitted: May 21, 212

### Process Certification Requirements

Page 1 of 7 TITLE Process Certification Requirements WARNING This document is the property of United Technologies Corporation (UTC). You may not possess, use, copy or disclose this document or any information

### Welcome! Frank Teleso. Quality Manager

Welcome! We appreciate your interest in Excelsior s Quality Management System. The objective of this document is to provide a quick method for you to do a preliminary quality qualification of Excelsior

### Corrective Action and Preventive Actions and its Importance in Quality Management System: A Review

Available online on www.ijpqa.com International Journal of Pharmaceutical Quality Assurance 2016; 7(1); 1-6 Review Article ISSN 0975 9506 Corrective Action and Preventive Actions and its Importance in

### Introduction to STATISTICAL PROCESS CONTROL TECHNIQUES

Introduction to STATISTICAL PROCESS CONTROL TECHNIQUES Preface 1 Quality Control Today 1 New Demands On Systems Require Action 1 Socratic SPC -- Overview Q&A 2 Steps Involved In Using Statistical Process

### QDA Q-Management A S I D A T A M Y T E S P E C S H E E T. From stand-alone applications to integrated solutions. Process optimization tool

QDA Q-Management Q-Management is the powerful base software package within ASI DATAMYTE s QDA suite that facilitates achievement and verification of quality goals such as process control, cost reduction,

### Lean Six Sigma Black Belt-EngineRoom

Lean Six Sigma Black Belt-EngineRoom Course Content and Outline Total Estimated Hours: 140.65 *Course includes choice of software: EngineRoom (included for free), Minitab (must purchase separately) or

### Individual Moving Range (I-MR) Charts. The Swiss Army Knife of Process Charts

Individual Moving Range (I-MR) Charts The Swiss Army Knife of Process Charts SPC Selection Process Choose Appropriate Control Chart ATTRIBUTE type of data CONTINUOUS DEFECTS type of attribute data DEFECTIVES

### Setting Specifications

Setting Specifications Statistical considerations Enda Moran Senior Director, Development, Pfizer Melvyn Perry Manager, Statistics, Pfizer Basic Statisticsti ti Population distribution 1.5 (usually unknown).

### Quality assurance from a-z. Ericsson Power Modules

Quality assurance from a-z Ericsson Power Modules Quality Assurance From A-Z Supplier / Component Qualification Product Design Verification of Quality and Reliability performance Handling of incoming material

### Measuring Your Process Capability Planning, Design & Analysis

Process capability is the long-term performance level of the process after it has been brought under statistical control. It is the ability of the combination of your 5 M's to produce a product that will

### VELUX General Quality Requirements

VELUX General Quality Requirements Introduction In VELUX we want to work towards zero defects and it is our belief that the quality of the products is best secured at our suppliers thereby enabling ship

### Assay Development and Method Validation Essentials

Assay Development and Method Validation Essentials Thomas A. Little Ph.D. 10/13/2012 President Thomas A. Little Consulting 12401 N Wildflower Lane Highland, UT 84003 1-925-285-1847 drlittle@dr-tom.com

### Philosophy, Structure, and Voice of the Customer

Chapter 3-3 Philosophy, Structure, and Voice of the Customer 2011 Institute of Industrial Engineers 3-3-1 Six Sigma Defined Six Sigma (s) is a customer focused, well defined problem solving methodology

### Modifying Integrated Model for Manufacturing Process Improvement

Modifying Integrated Model for Manufacturing Process Improvement Nguyen Van Hop. 1, Sumate N. 2, Patantip N. 3, and Sitawatch N. 4 1, 2, 3, 4. Industrial Engineering Program Sirindhorn International Institute

### Statistical Quality Control

Statistical Quality Control CHAPTER 6 Before studying this chapter you should know or, if necessary, review 1. Quality as a competitive priority, Chapter 2, page 00. 2. Total quality management (TQM) concepts,

### USE OF SHEWART CONTROL CHART TECHNIQUE IN MONITORING STUDENT PERFORMANCE

Bulgarian Journal of Science and Education Policy (BJSEP), Volume 8, Number 2, 2014 USE OF SHEWART CONTROL CHART TECHNIQUE IN MONITORING STUDENT PERFORMANCE A. A. AKINREFON, O. S. BALOGUN Modibbo Adama

### Lean Six Sigma Green Belt GLOSSARY

Lean Six Sigma Green Belt GLOSSARY Glossary Term Description 5 S s See Five S s 5 Why s See Five Why s 6 M s See Six M s 7 Step Process See Seven Step Process Affinity Diagram Benchmarking Change Management

### Quality Management of Software and Systems: Continuous Improvement Approaches

Quality Management of Software and Systems: Continuous Improvement Approaches Contents Quality Improvement Paradigm (QIP) Experience Factory (EF) Goal Question Metric (GQM) GQM + Strategies TQM Definition

### Design For Six Sigma (DFSS) Introduction 24 January Peter K. Fung Chairman of Hong Kong Society for Quality ASQ CQE, ASQ CSSBB

Design For Six Sigma (DFSS) Introduction 24 January 2015 Peter K. Fung Chairman of Hong Kong Society for Quality ASQ CQE, ASQ CSSBB Content 1. Design For Six Sigma 2. Application of Design For Six Sigma

### Statistical & Analytical Curriculum

Statistical & Analytical Curriculum 2014 1 Courses Days Engineering Statistics and Data Analysis 3 Design of Experiments 2 Mixture DOE 1 Robust Optimization and Tolerance Design 2 Measurement Systems Analysis

### A STUDY ON CONTINUOUS QUALITY IMPROVEMENT STRATEGIES AND METHODS

A STUDY ON CONTINUOUS QUALITY IMPROVEMENT STRATEGIES AND METHODS He Zhen Qi Ershi Liu Zixian Management School, Tianjin University Tianjin P. R. China Key Words: continuous quality improvement, quality

### FMEA and HACCP: A comparison. Steve Murphy Marc Schaeffers

FMEA and HACCP: A comparison Steve Murphy Marc Schaeffers FMEA and HACCP: A comparison Introduction FMEA and Control planning is being used more and more in industry. In the food industry companies use

### 14th International Conference on Software Quality (14ICSQ) 23 March 2005, 1:30-2:30p, Session Q

14th International Conference on Quality (14ICSQ) 2 March 2005, 1:0-2:0p, Session Q The point isn t to build software without defects, but to build software solutions that can be kept from producing defectives

### Six Sigma. Breakthrough Strategy or Your Worse Nightmare? Jeffrey T. Gotro, Ph.D. Director of Research & Development Ablestik Laboratories

Six Sigma Breakthrough Strategy or Your Worse Nightmare? Jeffrey T. Gotro, Ph.D. Director of Research & Development Ablestik Laboratories Agenda What is Six Sigma? What are the challenges? What are the

### BODY OF KNOWLEDGE CERTIFIED SIX SIGMA YELLOW BELT

BODY OF KNOWLEDGE CERTIFIED SIX SIGMA YELLOW BELT The topics in this Body of Knowledge include additional detail in the form of subtext explanations and the cognitive level at which test questions will

### QUALITY MANUAL ISO 9001. Quality Management System

Page 1 of 20 QUALITY MANUAL ISO 9001 Quality Management System Printed copies are not controlled unless marked "CONTROLLED". Upon receipt of this document, discard all previous copies. Page 2 of 20 Approval