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Daisy ChouKMDC, Hon. Chairlady
Master Black BeltKnowledge Management Manager
Strategic Quality ManagerResearch DirectorChief Statistician
Lecturer
The Evolution of Quality
Management
Daisy Chou 18 March 2010 2
Revolution of (Quality) Management
Scientific Management (1880-1950) Frederick Taylor
Management By Objective (1950-1980) Peter Drucker, Peter Senge
Quality Management / Total Quality Mgt (1980-now) Walter Shewhart & Edward Deming
Daisy Chou 18 March 2010 3
Evolution of Quality Management (since 1980)
Quality Circle Total Quality Management Total Quality Service Benchmarking Process re-engineering Learning Organization Information Management Knowledge Management
Daisy Chou 18 March 2010 4
Stage I Quality Management:TQM (mid 80’s- mid 90’s)
Senior Management - sponsor and finance project
Manager / supervisor – lead and commit on process improvement
Quality consultant – provide training, support and occasionally share knowledge
Work-improvement team – identify and select problem, data collection, recommend and implement solution
Daisy Chou 18 March 2010 5
Strategies and Tools
Each unit (division, region, function) has process improvement project
All people were trained in TQM concepts and tools Seven tools of Quality Tools Benchmarking tool Climate Survey Customer Satisfaction Survey Quality Personnel title / position (Mostly
overlapped with functional role)
Daisy Chou 18 March 2010 6
Quality Personnel
Understand TQM philosophy Use of TQM tools Functional knowledge: mainly manager,
engineer, HR, technician Skills: articulate, convincing, presentation
skill, business acumen, team player Preferred knowledge: statistical,
organizational, business, senior management relationship
Daisy Chou 18 March 2010 7
Roles & Responsibility Quality Personnel with dual roles:
Day to Day functional operations Facilitate TQM training Facilitate or lead process improvement Collaborate with corporate quality group and align business quality
strategy and goal to the corporate’s.
Full-time Quality Personnel: TQM specialist Articulate TQM philosophy and competence on use of TQM tools and
statistical techniques Change agent Provide consultancy to business unit’s management, quality personnel
on quality training, improvement Work closely with external quality consultants or quality personnel of
other enterprises Develop Quality strategy and support top management implementation
Daisy Chou 18 March 2010 8
How To Do (PDCA)
Plan: (Flow-charting, Brainstorming, ‘Fishbone’, Multi-voting, Pareto)
1. Team formation: manager (leader), supervisor, engineer, technical, customer service, administration, quality consultant (facilitator)
2. Initiate planning process, Analysis current situation Identify opportunity (eg Fault Repair – recurring fault within 2 weeks)
3. Develop Improvement (eg develop new procedures /checklist for fixing recurring fault)
Daisy Chou 18 March 2010 9
PDCADo: (Control chart, statistical analysis, staff survey)
Implement the pilot (check the process for an unintended outcome)
Check: (Action plan, control chart, performance data)Evaluate the Pilot (if the new procedures/materials reduce recurring faults)
Act: (Document)Standardization, training, and monitor
Check: Review regularly
Future Planning : PDCA cycle again
Daisy Chou 18 March 2010 10
Stage II Quality Management:Six Sigma – mid 90s to mid 2000s
Senior Management - sponsor / champion/ yellow belt, identify six sigma project
Manager / supervisor – champion/ accountable / green belt, negotiate goals and scope
Quality consultant – Black Belt, Master Black Belt, lead six sigma project
Six Sigma team – cross functional employees
Daisy Chou 18 March 2010 11
Strategies and Tools Not everywhere in the business has six
sigma project Most people are basic quality training All manager must trained as ‘yellow belt’ Other Process mapping tools eg SIPOC,
FMEA Heavy use of statistical analysis especially
DOE Black-Belt is a position: not overlap with
other function
Daisy Chou 18 March 2010 12
Six Sigma Black Belt Knowledge
Understand QM philosophy Use of QM and statistical methods,
heavy rely on software support on process mapping, analysis and tracking
Skills: leadership, articulate, convincing, presentation skill, independence
Statistical skill is a must. Other Preferred knowledge: finance and accounting knowledge
Daisy Chou 18 March 2010 13
Roles & Responsibility Black Belt with dual roles (not so often):
Day to Day functional operations Lead the function teammates on Six sigma project Accountable on the Six Sigma project
Full-time Black Belt: Competence in statistical application Process knowledge Able to see the big picture Lead team or work with other Black Belts on the Six Sigma
project at regional or global level Train and mentor Green Belt or Black Black in case of MBB Implement solution to meet the targets Share learning in the Black Belt community
Daisy Chou 18 March 2010 14
TQM consultants vs Six Sigma Black Belts
The organization can have both personnel
The organization can have (and supposed to have) both process improvement and breakthrough improvement activities
All tools are inter-changeable and there’s no ‘superior tool’ from one to another – use the right tool is the key
Daisy Chou 18 March 2010 15
Stage III Quality Management:Knowledge Management - early 2000s to now
Senior Management - QM is an unspoken culture. Growth of the company’s Intellectual capitals is the key to the success.
Manager / supervisor – how to build and leverage intellectual capitals.
All employees are knowledge workers (ie including quality personnel)
‘Knowledge’ is the Power ‘Innovation’ is the competitive edge
Daisy Chou 18 March 2010 16
Quality Management – Who, what, when, where and how to start
Who – you: take quality personally What – unstable process, most deflects,
most variations, most annoying When – now Where –process you can control or
influence How – PDCA, DMAIC, Communication,
Trust, CoP, Reviews, Documentation, Implementation, Share lesson learned
Daisy Chou 18 March 2010 17
Dos and Don’ts
Flowchart Identify performance
metrics and measure Collect and plot data Aim to reduce variations
& cycle times Document and review Implement and protect
the improvements (standardization)
Knowledge transfer
Make assumptions Treat 2 points as a trend Take and use only data that
are already available Set target without understand
the system performance Put targets & specification on
the control chart Mix up correlation with
causation Treat symptom as a root
cause Fix a stable system Focus on removing defects
DO DON’T