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Chapter 10Chapter 10
Principles of Six Sigma
MANAGING FOR QUALITY AND PERFORMANCE EXCELLENCE, 7e, © 2008
Thomson Higher Education Publishing1
Key Idea
MANAGING FOR QUALITY AND PERFORMANCE EXCELLENCE, 7e, © 2008
Thomson Higher Education Publishing
Although we view quality improvement tools and techniques from the perspective of Six Sigma, it is important to understand that they are simply a collection of methods that have been used successfully in all types of quality management and improvement initiatives, from generic TQM efforts, to ISO 9000, and in Baldrige processes.
Six-Sigma Metrics
• Defect – any mistake or error that is passed on to a customer
• Defects per unit (DPU) = number of defects discovered number of units produced
• Defects per million opportunities (dpmo) = DPU 1,000,000 opportunities for error
MANAGING FOR QUALITY AND PERFORMANCE EXCELLENCE, 7e, © 2008
Thomson Higher Education Publishing
MANAGING FOR QUALITY AND PERFORMANCE EXCELLENCE, 7e, © 2008
Thomson Higher Education Publishing
Six-Sigma Quality Ensuring that process variation is half the
design tolerance (Cp = 2.0) while allowing the mean to shift as much as 1.5 standard deviations, resulting in at most 3.4 dpmo.
Key Idea
MANAGING FOR QUALITY AND PERFORMANCE EXCELLENCE, 7e, © 2008
Thomson Higher Education Publishing
Although originally developed for manufacturing in the context of tolerance-based specifications, the Six Sigma concept has been operationalized to apply to any process and has come to signify a generic quality level of at most 3.4 defects per million opportunities.
k-Sigma Quality Levels
MANAGING FOR QUALITY AND PERFORMANCE EXCELLENCE, 7e, © 2008
Thomson Higher Education Publishing
Problem Solving
• Problem: any deviation between what “should be” and what “is” that is important enough to need correcting– Structured– Semistructured– Ill-structured
• Problem Solving: the activity associated with changing the state of what “is” to what “should be”
7
Quality Problem Types
1. Conformance problems2. Unstructured performance problems3. Efficiency problems4. Product design problems5. Process design problems
MANAGING FOR QUALITY AND PERFORMANCE EXCELLENCE, 7e, © 2008
Thomson Higher Education Publishing
Key Factors in Six Sigma Project Selection
• Financial return, as measured by costs associated with quality and process performance, and impacts on revenues and market share
• Impacts on customers and organizational effectiveness
• Probability of success• Impact on employees• Fit to strategy and competitive advantage
MANAGING FOR QUALITY AND PERFORMANCE EXCELLENCE, 7e, © 2008
Thomson Higher Education Publishing
Problem Solving Process
1. Redefining and analyzing the problem2. Generating ideas3. Evaluating and selecting ideas4. Implementing ideas
MANAGING FOR QUALITY AND PERFORMANCE EXCELLENCE, 7e, © 2008
Thomson Higher Education Publishing
Key Idea
MANAGING FOR QUALITY AND PERFORMANCE EXCELLENCE, 7e, © 2008
Thomson Higher Education Publishing
A structured problem-solving process provides all employees with a common language and a set of tools to communicate with each other, particularly as members of cross-functional teams.
DMAIC Methodology
1. Define2. Measure3. Analyze4. Improve5. Control
MANAGING FOR QUALITY AND PERFORMANCE EXCELLENCE, 7e, © 2008
Thomson Higher Education Publishing
Common Six Sigma Tools
MANAGING FOR QUALITY AND PERFORMANCE EXCELLENCE, 7e, © 2008
Thomson Higher Education Publishing
Define
• Describe the problem in operational terms• Drill down to a specific problem statement
(project scoping)• Identify customers and CTQs, performance
metrics, and cost/revenue implications
MANAGING FOR QUALITY AND PERFORMANCE EXCELLENCE, 7e, © 2008
Thomson Higher Education Publishing
Measure
• Key data collection questions
– What questions are we trying to answer?– What type of data will we need to answer the
question?– Where can we find the data?– Who can provide the data?– How can we collect the data with minimum effort
and with minimum chance of error?
MANAGING FOR QUALITY AND PERFORMANCE EXCELLENCE, 7e, © 2008
Thomson Higher Education Publishing
Analyze
• Focus on why defects, errors, or excessive variation occur
• Seek the root cause• 5-Why technique• Experimentation and verification
MANAGING FOR QUALITY AND PERFORMANCE EXCELLENCE, 7e, © 2008
Thomson Higher Education Publishing
Improve
• Idea generation• Brainstorming• Evaluation and selection• Implementation planning
MANAGING FOR QUALITY AND PERFORMANCE EXCELLENCE, 7e, © 2008
Thomson Higher Education Publishing
Control
• Maintain improvements• Standard operating procedures• Training• Checklist or reviews• Statistical process control charts
MANAGING FOR QUALITY AND PERFORMANCE EXCELLENCE, 7e, © 2008
Thomson Higher Education Publishing
Tools for Six-Sigma and Quality Improvement
• Elementary statistics• Advanced statistics• Product design and reliability• Measurement• Process control• Process improvement• Implementation and teamwork
MANAGING FOR QUALITY AND PERFORMANCE EXCELLENCE, 7e, © 2008
Thomson Higher Education Publishing
Design for Six Sigma• Focus on optimizing product and process
performance• Features
– A high-level architectural view of the design– Use of CTQs with well-defined technical requirements– Application of statistical modeling and simulation
approaches– Predicting defects, avoiding defects, and performance
prediction using analysis methods– Examining the full range of product performance
using variation analysis of subsystems and components
MANAGING FOR QUALITY AND PERFORMANCE EXCELLENCE, 7e, © 2008
Thomson Higher Education Publishing
Key Idea
MANAGING FOR QUALITY AND PERFORMANCE EXCELLENCE, 7e, © 2008
Thomson Higher Education Publishing
All Six Sigma projects have three key characteristics: a problem to be solved, a process in which the problem exists, and one or more measures that quantify the gap to be closed and can be used to monitor progress.
Key Six Sigma Metrics in Services
• Accuracy• Cycle time• Cost• Customer satisfaction
MANAGING FOR QUALITY AND PERFORMANCE EXCELLENCE, 7e, © 2008
Thomson Higher Education Publishing
Lean Production and Six Sigma
• The 5S’s: seiri (sort), seiton (set in order), seiso (shine), seiketsu (standardize), and shitsuke (sustain).
• Visual controls• Efficient layout and standardized work• Pull production• Single minute exchange of dies (SMED)• Total productive maintenance• Source inspection• Continuous improvement
MANAGING FOR QUALITY AND PERFORMANCE EXCELLENCE, 7e, © 2008
Thomson Higher Education Publishing
Traditional Economic Model of Quality of Conformance
MANAGING FOR QUALITY AND PERFORMANCE EXCELLENCE, 7e, © 2008
Thomson Higher Education Publishing
Total cost
Cost due to nonconformance
Cost of quality assurance
“optimal level” of quality100%
Modern Economic Model of Quality of Conformance
MANAGING FOR QUALITY AND PERFORMANCE EXCELLENCE, 7e, © 2008
Thomson Higher Education Publishing
Total cost
Cost due to nonconformance
Cost of quality assurance
100%