Introduction to Six Sigma - Presentation Transcript
Introduction to Six Sigma Purpose of six sigma : To make customer happier and increase profits
Origin of Six Sigma
1987 Motorola Develops Six Sigma
Raised Quality Standards
Other Companies Adopt Six Sigma
GE
Promotions, Profit Sharing (Stock Options), etc. directly tied to Six Sigma training.
Dow Chemical, Dupont, Honeywell, Whirlpool
Time Line 2002 1995 1992 1987 1985 Dr Mikel J Harry wrote a paper relating early failures to quality Motorola Allied Signal General Electric Johnson & Johnson, Ford, Nissan, Honeywell
Pilot’s Six Sigma Performance Width of landing strip 1/2 Width of landing strip If pilot always lands within 1/2 the landing strip width, we say that he has Six Sigma capability.
Current Leadership Challenges
Delighting Customers.
Reducing Cycle Times.
Keeping up with Technology Advances.
Retaining People.
Reducing Costs.
Responding More Quickly.
Structuring for Flexibility.
Growing Overseas Markets.
Six Sigma— Benefits?
Generated sustained success
Project selection tied to organizational strategy
Customer focused
Profits
Project outcomes / benefits tied to financial reporting system.
Full-time Black Belts in a rigorous, project-oriented method.
Recognition and reward system established to provide motivation.
What can it do?
Motorola:
5-Fold growth in Sales
Profits climbing by 20% pa
Cumulative savings of $14 billion over 11 years
General Electric:
$2 billion savings in just 3 years
The no.1 company in the USA
Bechtel Corporation:
$200 million savings with investment of $30 million
GE Six Sigma Economics Source: GE Annual Report, Jack Welch Letter to Share Owners and Employees - progress based upon total corporation cost/benefits attributable to Six Sigma. 1996 1998 2000 2002 0 500 1000 1500 2000 2500 1996 Cost Benefit (in millions)
Overview of Six Sigma PAIN, URGENCY, SURVIVAL COSTS OUT GROWTH TRANSFORM THE ORGANIZATION CHANGE THE WORLD 6 SIGMA AS A STATISTICAL TOOL 6 SIGMA AS A PHILOSOPHY 6 SIGMA AS A PROCESS
Overview of Six Sigma
It is a Philosophy
Anything less than ideal is an opportunity for improvement
Defects costs money
Understanding processes and improving them is the most efficient way to achieve lasting results
It is a Process
To achieve this level of performance you need to:
D efine, M easure, A nalyse, I mprove and C ontrol
It is Statistics
6 Sigma processes will produce less than 3.4 defects per million opportunities
Management involvement?
Executives and upper management drive the effort through:
Understanding Six Sigma
Significant financial commitments
Actively selecting projects tied to strategy
Setting up formal review process
Selecting Champions
Determining strategic measures
Management involvement?
Key issues for Leadership:
How will leadership organize to support Six Sigma ? (6 council, Director 6 , etc)
Transition rate to achieve 6 .
Level of resource commitment.
Centralized or decentralized approach.
Integration with current initiatives e.g. QMS
How will the progress be monitored?
Philosophy
Know What’s Important to the Customer (CTQ)
Reduce Defects (DPMO)
Centre Around Target (Mean)
Reduce Variation (Standard Deviation)
Critical Elements
Genuine Focus on the Customer
Data and Fact Driven Management
Process Focus
Proactive management
Boundary-less Collaboration
Drive for Perfection; Tolerance for failure
Data Driven Decision Control Monitor Problem Symptom Cause Effect Input-Process Output Independent Dependent X1 . . . Xn Y f(X) Y=
Two Processes
Define
Measure
Analyze
Improve
Control
Define
Measure
Analyze
Design
Verify
DMAIC DMADV
Existing Processes
New Processes
DFSS
Key Concepts
COPQ (Cost of Poor Quality) - Lost Opportunities - The Hidden Factory - More Setups - Expediting Costs - Lost Sales - Late Delivery - Lost Customer Loyalty - Excess Inventory - Long Cycle Times - Costly Engineering Changes Average COPQ approximately 15% of Sales
COPQ vs. Sigma Level Cost of Quality % Sales Sigma Level
Process
A Process is a group of steps, tasks, or activities, which take inputs (People, Material, Information …..) and in some way change them to produce an output (Service, Product……)
Xs Ys Step-1 Step-2 Step-3 Input Process Output
CTQ (Critical-To-Quality)
CTQ characteristics for the process, service or process
Measure of “What is important to Customer”
6 Sigma projects are designed to improve CTQ
Examples:
Waiting time in clinic
Spelling mistakes in letter
% of valves leaking in operation
Defective and Defect
A nonconforming unit is a defective unit
Defect is nonconformance on one of many possible quality characteristics of a unit that causes customer dissatisfaction.
A defect does not necessarily make the unit defective
Examples:
Scratch on water bottle
(However if customer wants a scratch free bottle, then this will be defective bottle)
Defect Opportunity
Circumstances in which CTQ can fail to meet.
Number of defect opportunities relate to complexity of unit.
Complex units – Greater opportunities of defect than simple units
Examples:
A units has 5 parts, and in each part there are 3 opportunities of defects – Total defect opportunities are 5 x 3 = 15
DPO (Defect Per Opportunity)
Number of defects divided by number of defect opportunities
Examples:
In previous case (15 defect opportunities), if 10 units have 2 defects.
Defects per unit = 2 / 10 = 0.2
DPO = 2 / (15 x 10) = 0.0133333
DPMO (Defect Per Million Opportunities)
DPO multiplies by one million
Examples:
In previous case (15 defect opportunities), if 10 units have 2 defects.
Defects per unit = 2 / 10 = 0.2
DPO = 2 / (15 x 10) = 0.0133333
DPMO = 0.013333333 x 1,000,000 = 13,333
Six Sigma performance is 3.4 DPMO 13,333 DPMO is 3.7 Sigma
What is Sigma?
Have you ever…
Shot a rifle?
Played darts?
What is the point of these sports? What makes them hard?
Have you ever…
Shot a rifle?
Played darts?
Who is the better shooter? Jack Jill
Variability - Jack
Deviation = distance between observations and the mean (or average)
Jack Jill Jill Jack Standard Deviation Variance Average 0.4898979 0.24 6.6 1.0 1.0 8.4 But what good is a standard deviation ?
Variability The world tends to be bell-shaped Most outcomes occur in the middle Fewer in the “ tails” (upper) Even very rare outcomes are possible Even very rare outcomes are possible Fewer in the “ tails” (upper) Quality Gurus .com
“ Normal” bell shaped curve Normal distributions are divide up into 3 standard deviations on each side of the mean
Usual vs. Unusual, Acceptable vs. Defective Another View Center Process Reduce Spread The statistical view of a problem On-Target USL LSL LSL = Lower spec limit USL = Upper spec limit LSL USL Off-Target USL LSL Large Variation
More about limits Good quality: defects are rare (C pk >1) Poor quality: defects are common (C pk <1) C pk measures “Process Capability” If process limits and control limits are at the same location, C pk = 1. LSL and USL = Lower and Upper Specification Limits / LPL and UPL = Lower and Upper Process Limits μ target μ target
A Six Sigma Process
Predictably twice as good as what the customer wants
Approach Practical Problem Statistical Problem Statistical Solution Practical Solution
DMAIC - simplified
D efine
What is important?
M easure
How are we doing?
A nalyze
What is wrong?
I mprove
Fix what’s wrong
C ontrol
Ensure gains are maintained to guarantee performance
DMAIC approach D Define M Measure A Analyze I Improve C Control Identify and state the practical problem Validate the practical problem by collecting data Convert the practical problem to a statistical one, define statistical goal and identify potential statistical solution Confirm and test the statistical solution Convert the statistical solution to a practical solution
Define D Define M Measure A Analyze I Improve C Control VoC - Who wants the project and why ? The scope of project / improvement (SMART Objective) Key team members / resources for the project Critical milestones and stakeholder review Budget allocation
Measure D Define M Measure A Analyze I Improve C Control Ensure measurement system reliability Prepare data collection plan Collect data - Is tool used to measure the output variable flawed ?
- How many data points do you need to collect ?
How many days do you need to collect data for ?
What is the sampling strategy ?
Who will collect data and how will data get stored ?
What could the potential drivers of variation be ?
Analyze D Define M Measure A Analyze I Improve C Control How well or poorly processes are working compared with - Best possible (Benchmarking) - Competitor’s Shows you maximum possible result Don’t focus on symptoms, find the root cause
Improve D Define M Measure A Analyze I Improve C Control
Present recommendations to process owner.
Pilot run
Formulate Pilot run.
Test improved process (run pilot).
Analyze pilot and results.
Develop implementation plan.
Prepare final presentation.
Present final recommendation to Management Team.
Control D Define M Measure A Analyze I Improve C Control Don’t be too hasty to declare victory. How will you maintain to gains made?
- Change policy & procedures
- Change drawings
Change planning
Revise budget
Training
People Power Tell me, I forget. Show me , I remember. Involve me, I understand.
6 Training Master Black Belt Black Belts Green Belts Team Members / Yellow Belts Champions Mentor, trainer, and coach of Black Belts and others in the organization. Leader of teams implementing the six sigma methodology on projects. Delivers successful focused projects using the six sigma methodology and tools. Participates on and supports the project teams, typically in the context of his or her existing responsibilities.
Champion
Plans improvement projects
Charters or champions chartering process
Identifies, sponsors and directs Six Sigma projects
Holds regular project reviews in accordance with project charters
Includes Six Sigma requirements in expense and capital budgets
Champions
Champion
Identifies and removes organizational and cultural barriers to Six Sigma success.
Rewards and recognizes team and individual accomplishments (formally and informally)
Communicates leadership vision
Monitors and reports Six Sigma progress
Validates Six Sigma project results
Nominates highly qualified Black Belt and/or Green Belt candidates
Champions
Master Black Belt
Enterprise Six Sigma expert
Permanent full-time change agent
Certified Black Belt with additional specialized skills or experience especially useful in deployment of Six Sigma across the enterprise
Master Black Belt
Master Black Belt
Highly proficient in using Six Sigma methodology (e.g., advanced statistical analysis, project management, communications, program administration, teaching, project coaching)
Identifies high-leverage opportunities for applying the Six Sigma
Basic Black Belt training
Green Belt training
Coach / Mentor Black Belts
Master Black Belt
Black Belt
Six Sigma technical expert
Temporary, full-time change agent (will return to other duties after completing a two to three year tour of duty as a Black Belt)
Black Belts
Black Belt
Leads business process improvement projects where Six Sigma approach is indicated.
Successfully completes high-impact projects that result in tangible benefits to the enterprise
Demonstrated mastery of Black Belt body of knowledge
Demonstrated proficiency at achieving results through the application of the Six Sigma approach
Coach / Mentor Green Belts
Recommends Green Belts for Certification
Black Belts
Green Belt
Six Sigma Project originator
Part-time Six Sigma change agent. Continues to perform normal duties while participating on Six Sigma project teams
Six Sigma champion in local area
Recommends Six Sigma projects
Participates on Six Sigma project teams
Leads Six Sigma teams in local improvement projects
Green Belts
Yellow Belt
Learns and applies Six Sigma tools to projects
Actively participates in team tasks
Communicates well with other team members
Demonstrates basic improvement tool knowledge
Accepts and executes assignments as determined by team
Team Members / Yellow Belts
Financial Analyst
Validates the baseline status for each project.
Validates the sustained results / savings after completion of the project.
Compiles overall investment vs. benefits on Six Sigma for management reporting.
Will usually be the part of Senior Leadership Team.
Project Selection
Sources of Projects
External Sources:
Voice of Customer
What are we falling short of meeting customer needs?
What are the new needs of customers?
Voice of Market
What are market trends, and are we ready to adapt?
Voice of Competitors
What are we behind our competitors?
Sources of Projects
Internal Sources:
Voice of Process
Where are the defects, repairs, reworks?
What are the major delays?
What are the major wastes?
Voice of Employee
What concerns or ideas have employees or managers raised?
What are we behind our competitors?
Harvesting the Fruit of Six Sigma - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Sweet Fruit Design for Repeatability Process Enhancement Bulk of Fruit Process Characterization and Optimization Low Hanging Fruit Seven Basic Tools Ground Fruit Logic and Intuition - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
What Qualifies as a Six Sigma Project
Three basic qualifications:
There is a gap between current and desired / needed performance.
The cause of problem is not clearly understood.
The solution is not pre-determined, nor is the optimal solution apparent.
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