Business Process Improvement-Statistical Thinking(ppt)
綜合能力考核表詳細(xì)內(nèi)容
Business Process Improvement-Statistical Thinking(ppt)
Business Process Improvement
Statistical Thinking
Overview
Basic concepts
Activity and process
Result & CTQ
Process characterization
Collect the data
Analyze the performance of the current process
Overview (Cont.)
Process optimization
Find out key factors and establish the transfer function
Determine the optimal setting and tolerance
BPI processes
DMAIC
DFSS
Basic Concepts
Activity and process
Activities are tangible
Process is the pattern of activity
Result & CTQ
Business activities generate product – the result
CTQ is the measurement on the product from customers’ point of view
Tell the process through the result
Process Characterization
Collect the data
Evaluate the measurement system
Data collection plan
Find historical data
Passively collect the data
Analyze the performance of the current process
Variance is the enemy
Process capability
Identify the factors for the variance
Process Optimization
Find out key factors and establish the transfer function
Design of experiment and simulation
Establish the transfer function
Determine the optimal setting and tolerance
Find out the optimal setting and tolerance
Implement the control mechanism
Measurement system for the key factors
Process control tools – FMEA/SPC/POKA-YOKE
BPI Processes
DMAIC (improve current process)
Define: define and kick off the project
Measure: formulating the potential problem
Analysis: changing to a statistical problem
Improve: developing a statistical solution
Control: implementing the practical solution
BPI Processes (Cont.)
DFSS (develop a new process)
Define: define and kick off the project
Measure: formulating the potential problem
Analysis: mapping to a statistical problem
Design: innovating a statistical solution
Verify: verifying the the practical solution
The BPI Package
Ladder to World Class Company
Overview
Developing statistical thinking concept
Mentoring projects with business impact
Implement system and process to fully deploy BPI in the company
The Concept
BPI course – two day
Case study – introduce successful story
Site visiting – visit GE and interview with relative personnel
Demonstrate the Power
Select potential projects
Identify and train the GB(s)
Project(s) mentor to deliver business result
Evaluate feasibility for further deployment
Build the Organ
Setup the BPI organization and operating mechanisms
Identify and train BB/MBB
Develop business goals and action plan
Vitality goals & action plan
Business goals & action plan
Business Process Improvement-Statistical Thinking(ppt)
Business Process Improvement
Statistical Thinking
Overview
Basic concepts
Activity and process
Result & CTQ
Process characterization
Collect the data
Analyze the performance of the current process
Overview (Cont.)
Process optimization
Find out key factors and establish the transfer function
Determine the optimal setting and tolerance
BPI processes
DMAIC
DFSS
Basic Concepts
Activity and process
Activities are tangible
Process is the pattern of activity
Result & CTQ
Business activities generate product – the result
CTQ is the measurement on the product from customers’ point of view
Tell the process through the result
Process Characterization
Collect the data
Evaluate the measurement system
Data collection plan
Find historical data
Passively collect the data
Analyze the performance of the current process
Variance is the enemy
Process capability
Identify the factors for the variance
Process Optimization
Find out key factors and establish the transfer function
Design of experiment and simulation
Establish the transfer function
Determine the optimal setting and tolerance
Find out the optimal setting and tolerance
Implement the control mechanism
Measurement system for the key factors
Process control tools – FMEA/SPC/POKA-YOKE
BPI Processes
DMAIC (improve current process)
Define: define and kick off the project
Measure: formulating the potential problem
Analysis: changing to a statistical problem
Improve: developing a statistical solution
Control: implementing the practical solution
BPI Processes (Cont.)
DFSS (develop a new process)
Define: define and kick off the project
Measure: formulating the potential problem
Analysis: mapping to a statistical problem
Design: innovating a statistical solution
Verify: verifying the the practical solution
The BPI Package
Ladder to World Class Company
Overview
Developing statistical thinking concept
Mentoring projects with business impact
Implement system and process to fully deploy BPI in the company
The Concept
BPI course – two day
Case study – introduce successful story
Site visiting – visit GE and interview with relative personnel
Demonstrate the Power
Select potential projects
Identify and train the GB(s)
Project(s) mentor to deliver business result
Evaluate feasibility for further deployment
Build the Organ
Setup the BPI organization and operating mechanisms
Identify and train BB/MBB
Develop business goals and action plan
Vitality goals & action plan
Business goals & action plan
Business Process Improvement-Statistical Thinking(ppt)
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