Six Sigma Black Belt add on training

Training Information

Goal(s):

• You will know the requirements for a successful implementation of the Six Sigma – Methodology in your company. You are aware that Six Sigma will not be chosen in every problem situation and you will be able to decide in which situations it’s needed.
• You realize that Six Sigma is definitely necessary if you have an important process problem and the root cause is not known, and you experience that such systematic projects are much more successful than the traditional way of working which consists of „Try & Error“ mostly.
• You will have learnt all of the important tools and methods and you’re able to apply them in a Six Sigma Black Belt Project, also outside of your direct environment of responsibility.
• You can handle standardised tools of project management in order to manage and guide your Black Belt Project team successfully. You will be able to close a project within a given time frame.
• You will be able to achieve all of the goals which have been defined for your Black Belt Project and the expected Benefit will be delivered. This will be possible because you have investigated the significant root cause and developed a causal chain from the top project KPI to the true causes..
• You will learn tools for modern data analysis and you will be able to apply them in different business situations in order to solve problems. You will get also an overview about some possibilities for a usage of data that are stored in process control systems or if you have an access to historical data..

Target group:

Employees and Management staff from all departments of production and Service companies, Marketing, sales, R&D, Engineering, production, purchase, Quality management.

Training contents:

Each candidate will select a Six Sigma – Project in his company and start to work on it parallel to the training, already.. It is also possible that 2 candidates take a project if the belong to the same company. Selection can be supported by the trainer and he may give some advices regarding tool application.. The trainer takes also the role of a Coach and you may ask him for a support during this period. This Coaching is limited to smaller topics but if you need additional help then we can arrange an intensive Coaching, of course. You should be aware that there are many potential obstacles and risks along such complex projects and if you can’t receive help because lack of coaching then the probability for a collapse of the project will increase.

Training dates:

• Module 1: 5 days
• Module 2: 5 days
• Coaching as necessary

The present Green Belt knowledge will be complemented especially by the following topics:

• Systematic deduction and selection of Six Sigma projects, interface Lean / Six Sigma
• Development of a causal chain inside of the processes of a company , referring to KPI’s
• Complete Roadmap for MSA, continuous and discrete criteria, analysis of linearity and Bias, resolution and measurement capability, attributive MSA, analytic attributive MSA, Signal detection etc.
• Process capability analysis and non symmetric distributions, identification of distributions, Binomial-, Poisson distribution (discrete capabilities), Yield studies for process chains and systems, complete Roadmap for process capability and the performance of process chains
• Statistical tests – complete Roadmap incl. non parametric tests
• Sampling theory – Review and add on (interactions between sample size, Power and Risks), Sampling strategy according to ISO 2859, practical meaning, basics of the hypergeometric distribution, Roadmap for a suitable sampling strategy in your company
• FMEA and data based interfaces between product criteria, sampling tests and capability figures
• Complete Roadmap for ANOVA and statistical background
• Regression analysis, complete Roadmap for linear and non linear models, risks of problems with multicollinearity, binary coding, best subsets, provement of models
• Logistic regression analysis

• Complete Roadmap for DoE, with screening experiments, response surface designs
• D-optimal designs as well as the interface to Data Mining

• Orthogonality and rotatability of designs
• Determination of transfer functions in the sense of Y=f(x)
• Simulations
• Systematic progress in Improve, Axiomatic Design (basics)
• Overview about SPC and control charts, statistics for construction and analysis
• Differences between warning -, action – and specification limits, development of a control plan, control charts for discrete criteria
• Interface between Six Sigma and the Management – Control & Reporting system, drill down of goals, process responsibility, control charts in the organisation (also admin)
• Six Sigma Deployment

Scope of services:

• Detailed training documentation (in paper and as .pdf.-files)
• Coaching of your project ba an experienced Master Black Belt (limited)
• Numerous data files, tools for exercises
• Certificate “Six Sigma Green Belt”
• Free space for exchange and knowledge transfer

The following requirements apply to the certification of Six Sigma Green Belt projects:

• The Black Belt project was evaluated by the client according to the following criteria with at least satisfactory:
  • The project achieved measurable results
  • The project was appropriately communicated in the organization
  • The applied methodology and lessons learned are not only known to the project leader but shared with others
  • The scope of the project was kept as documented in the project charter
  • As part of the project further optimization potential was identified
• The Green Belt project was evaluated by the Master Black Belt (instructor) according to the following criteria:
  • The project has completed at least the analysis phase
  • The project was recognizable by the DMAIC methodology
  • Project charter exists according to the template
  • SIPOC or a process flow diagram is available
  • The customer voice is available and CTQs / CTBs have been derived
  • A cause – impact analysis was made and the inputs were prioritized
  • A data collection plan has been prepared containing the main CTQs / CTBs as well as the main inputs
  • Where applicable, the improvement of the process has been demonstrated by statistical and / or graphic comparison between the process’s reference performance and the improved state
  • Where appropriate, a measurement system analysis was performed (Gage R & R or Prüferabereinstimmung)
  • Where necessary, a project risk analysis or process risk analysis has been performed
  • At least one of the listed statistical test methods was used: hypothesis testing, regression analysis, variance analysis
  • Where appropriate, control charts were introduced in the improved process