Six Sigma And Variability Reduction

Six Sigma is a data driven business strategy that seeks to streamline production processes to constantly generate quasi perfect products and services in order to achieve Breakthrough ROI. One of the pillars of Six Sigma is the pursuit of the elimination of production process variation. For a production process to generate perfect products, the process itself has to be perfect, therefore, in the design phase of the production process, the process engineers need to precisely and accurately determine all the Critical-To-Quality Characteristics of the products or services they are about to produce in order to minimize the possibility for variations to occur. Variation is said to have occurred every time a product does not exactly match its predetermined CTQ characteristics; therefore the corrective actions require the identification of the sources of variation and their elimination.
The strategy used by Six Sigma to improve production processes is called DMAIC (Define, Measure, Analyze, Improve and Control) and very specific tools are used at every step of the DMAIC Roadmap.

Define
Since it would be hard to fix what is not known, the first step in a Six Sigma project will consist in defining the goals of the project, identifying the Ys (the problem being addressed) 
Define the purpose and the scope of the project.
Determine the resources needed
Determine who are the customer of the project
Map the SIPOC (Suppliers- inputs-Process-Customer –Output-Customer)
Develop the project planning

Measure
Identify the Xs ( the factors that are thought to cause the problem being addressed) and collect data
Identify the business processes that generate the Xs and the Y
Perform a regression analysis to measure the correlation between the Y and the Xs
Identify the Critical-To-Quality requirements (CTQ)
Define the metrics used to measure the CTQs
Measure the current process capabilities

Analyze
Identify what inputs affect the output and to what extent they do so
Identify the root causes of the problem
Using Pareto Analysis, determine the vital few factors that contribute to the problem
Determine the new metrics needed to monitor performance

Improve
Based on the results obtained from the Analyze phase; develop and implement plans for process changes that lead to an improvement of the vital factors that impact the issue at hand.

Control
Determine the standard process to be followed, monitor the process, communicate and train the employees.

 

DMAIC Phases

Purpose Of The Phases

Tools Used

 

 

 

 

 

Define

·          Define the Customer

  • Define the KOPV

·          Define the Customer Requirement

·          Set up the cross functional team

·          Define the resources needed

·          Identify the customers of the project

·          Identify the Stakeholders

·          Project planning

·          Project Charter

·          Force Field analysis

·          Stakeholder Analysis

·          SWOT Analysis

·          Work Breakdown Structure

·          Voice of the Customer

·          Voice of the Business

·          Process Flow Map

·          SIPOC Analysis

·          Baseline

·          Kano Analysis

·          Brainstorming

 

 

 

 

Measure

·          Collect data pertaining to the Y and the Xs

·          Identify the Xs (the factors that contribute to the problem)

·          Measure the current process capabilities and performance
 

           

·          Data Collection

·          7 Basic Tools

·          Process Metrics

·          System Diagram

·          Process Capabilities

·          Benchmarking

·          Gage R&R

·          Cost Of Poor Quality

 

 

 

 

 

Analyze

 

·          Measure the correlation between the Xs and the Y

·          Determine the root causes of the process variations

·          Identify the non value added steps

·          Identity the ideal process

 

·          Regression analysis

·          Analysis Of Variance

·          Pareto Analysis

·          Cause and Effect Analysis

o         Fishbone diagram

o         Cause and Effect Matrix

o         Failure Mode and Effect Analysis (FMEA)

·          Hypothesis Testing

·          Decision And Risk Analysis

·          Process Capability Analysis

·          Process Performance Analysis

·          Reliability Analysis

·          5 Whys

 

 

 

 

Improve

·          Based on the FMEA performed in the Analyze phase, develop action plans to prevent variations

·          Reassess the process

·          Develop solutions

 

·          Design Of Experiment

·          Failure Mode Effect and Analysis

·          Taguchi Method

·          Quality Function deployment

·          Brainstorming

·          Poka Yoke

·          5S

·          Pugh Matrix

 

 

 

Control

·          Develop standardization plan

·          Manage the performance

·          Take preventive actions

·          Provide training

 

·          Statistical Process Control

o         Control Charts

o         Pre-Control Charts

·          Time Series

·          Standardization

·          Performance Management

 

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