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Six Sigma by Aranyos Attila for MSc. Mérnök Informatika Production and Process Management class held by Vida Csaba.

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Presentation on theme: "Six Sigma by Aranyos Attila for MSc. Mérnök Informatika Production and Process Management class held by Vida Csaba."— Presentation transcript:

1 Six Sigma by Aranyos Attila for MSc. Mérnök Informatika Production and Process Management class held by Vida Csaba

2 What is Six Sigma? It is a tool that is used by many large multinational companies to make the customer’s or end user’s - from having a face like this  to having a face like this !!! This is not a Joke! Hihi,………this is Six Sigma!

3 In simple terms Six Sigma is ……… Six Sigma is a set of techniques and tools for process improvement, but is based upon statistics! A team of coworkers start with the analysis of a process and use tools to determine where the defects occur. Once the main source of problems are indentified for the cause of Defects, then measurements are taken within the process (manufacturing, usually but can also be used anywhere, where a process produces defects) to determine the DPMO or in other words – Defect Parts per Million opportunities.

4 What’s next??? Then the team of coworkers take and analyze the statistics and with the various tools and techniques determine where the problem in the process occurs. Make adjustments in the process. Measure the process again, make adjustment to the process and it goes on and on and on and on until you have a good Sigma value at least 3.4 defects per/million opportunities. Of course each company determines what Sigma level they need to achieve in order for the customer to be HAPPY! ;-) ;-) ;-) ;-) ;-) ;-) ;-) ;-) ;-) ;-) ;-) ;-)

5 History of Six Sigma Motorola introduced Six Sigma in the early 1980’s, by 2005 Motorola attributed over US$17 billion in savings to Six Sigma. Other early adopters of Six Sigma include Honeywell and General Electric (saves $250,000 per project), where Jack Welch introduced the method. By the late 1990’s, about two-thirds of the Fortune 500 organizations had begun Six Sigma initiatives with the aim of reducing costs and improving quality.

6 The Six Sigma TEAM (also called the projects team) Master Black Belt - A person who deals with the team or its leadership; but is not a direct member of the team itself. Black Belt - The person possessing this belt has achieved the highest skill level and is an experienced expert in various techniques. Green Belt - The Green Belt designation can also belong to the team leader or to a member of the team working directly with the team leader.

7 The Method DMAIC The DMAIC project methodology has five phases: Define the system, the voice of the customer and their requirements, and the project goals, specifically. Measure key aspects of the current process and collect relevant data; calculate the 'as-is' Process Capability. Analyze the data to investigate and verify cause-and-effect relationships. Determine what the relationships are, and attempt to ensure that all factors have been considered. Seek out root cause of the defect under investigation. Improve or optimize the current process based upon data analysis using techniques such as design of experiments, poka yoke or mistake proofing, and standard work to create a new, future state process. Set up pilot runs to establish process capability. Control the future state process to ensure that any deviations from the target are corrected before they result in defects. Implement control systems such as statistical process control, production boards, visual workplaces, and continuously monitor the process.

8 The Method DMADV The DMADV project methodology, known also as DFSS ("Design For Six Sigma"), features five phases: Define design goals that are consistent with customer demands and the enterprise strategy. Measure and identify CTQs (characteristics that are Critical To Quality), measure product capabilities, production process capability, and measure risks. Analyze to develop and design alternatives Design an improved alternative, best suited per analysis in the previous step Verify the design, set up pilot runs, implement the production process and hand it over to the process owner(s).

9 The statistics Graph of the normal distribution, which underlies the statistical assumptions of the Six Sigma model. The Greek letter σ (sigma) marks the distance on the horizontal axis between the mean, µ, and the curve's inflection point. The greater this distance, the greater is the spread of values encountered. For the green curve shown above, µ = 0 and σ = 1. The upper and lower specification limits (USL and LSL, respectively) are at a distance of 6σ from the mean. Because of the properties of the normal distribution, values lying that far away from the mean are extremely unlikely. Even if the mean were to move right or left by 1.5σ at some point in the future (1.5 sigma shift, colored red and blue), there is still a good safety cushion. This is why Six Sigma aims to have processes where the mean is at least 6σ away from the nearest specification limit.

10 ……more statistics

11 Quality management tools and methods Within the individual phases of a DMAIC or DMADV project, Six Sigma utilizes many established quality-management tools that are also used outside Six Sigma. The following list shows the tools and methods used. 5 Whys Statistical and fitting tools  Analysis of variance  General linear model  ANOVA Gauge R&R  Regression analysis  Correlation  Scatter diagram  Chi-squared test Axiomatic design Business Process Mapping/Check sheet Cause & effects diagram (also known as fishbone or Ishikawa diagram) Control chart/Control plan/Run charts Cost-benefit analysis CTQ tree Design of experiments/Stratification Histograms/Pareto analysis/Pareto chart Pick chart/Process capability/Rolled throughput yield Quality Function Deployment (QFD) Quantitative marketing research through use of Enterprise Feedback Management (EFM) systems Root cause analysis SIPOC analysis (Suppliers, Inputs, Process, Outputs, Customers) COPIS analysis (Customer centric version/perspective of SIPOC) Taguchi methods/Taguchi Loss Function Value stream mapping

12 Six Sigma costs – company & employee salaries For a company to implement Six Sigma is very expensive, but the benefits of using Six Sigma has its rewards. Master Black Belt’s, yearly salaries range from $80,000 - $100,000 Training costs for Six Sigma Belts are very expensive.

13 Thanks for LISTENING and if you have chance to get SIX SIGMA training from a company take the opportunity and run with it! Thank you THE END


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