OpEx Six Sigma Black Belt is advanced training. Although the participants are learning the more advanced techniques and tools of Six Sigma, this is not the main objective of the course. The practical and effective usage of these tools is the key concept shaping the program’s philosophy. Critical Thinking and the ability to ask suitable questions forms the basis for effective use of knowledge in practice.

Pure data is no substitute for knowledge, and indeed knowledge development is the essence of Six Sigma philosophy. Not even the most sophisticated and advanced methods of analysis will replace good data, which is to say data collected in a way that provides an opportunity to increase our knowledge and improve our products. This is the most important competency of Black Belt.

Training is based on practical tasks which involve the participant having a hands?on experience of discovering the knowledge which we want to transmit to them. We believe that this is the only way to show the practical application of Six Sigma. During training we share our experience. For every subject we present real-life cases which underline the practical application of presented concepts and tools. Training is designed to give all participants the chance to practice each learned concept and tool throughout the course. One training session requires that three to four weeks are dedicated to project work before the participants progress to the subsequent training session. Usually instruction is provided by three trainers, each of whom have second level Master Black Belt Certification and several years of professional experience.

Dedicated trainingznak zapytaniaQUESTIONS? CONTACT US:
MOBILE:+48 783 191 353

Upcoming Six Sigma Trainings

OpEx Six Sigma Black Belt

Calss 01/2019
Session I: 16-18 X 2019
Session II: 13-15 XI 2019
Session III: 9-13 XII 2019
Session IV: 13-17 I 2020

Wrocław12 000 pln
To take part in an open training, you should complete the application form and send it to us:
For those, who will send their application 30 days prior to the workshop, we offer a discount of 10%!
OpEx Six Sigma Black Belt – complementary training

Class 01/2019
Session I: 9-13 XII 2019
Session II: 13-17 I 2020

Wrocław8 000 pln
OpEx Six Sigma Black Belt complementary training is intented only for those, who completed OpEx Six Sigma Green Belt training conducted by OpEx Group.

Training price includes

  • Help in defining the Black Belt project
  • Ability to consult with a trainer during the whole training, the break between sessions and after the workshop
  • The book Leader’s Handbook, P.R. Scholtes ? Polish translation
  • OpEx Six Sigma Black Belt certification exam
  • Training conducted by two or three experienced trainers
  • Additional training materials based on trainee’s individual needs
  • A set of training materials
  • Username and password for the Client Zone allowing use of many additional materials
  • Coffee breaks and lunch

Expected training results

After this training participants will be skilled in:

  • Data collection planning, yielding answers to particular question which we have in respect to our processes (Sampling Plan, Design of Experiments)
  • Data analysing in Practical, Graphical and Quantitative forms
  • Using of Control Charts in a passive way (process monitoring) as well active (problem solving in processes)
  • Evaluating Measurement Systems
  • Experimentation planning (factor and factor levels selection as well as selection of experimentation strategy)
  • Conducting and analysing experiments (Practical, Graphical and Quantitative) and the drawing conclusions based on experimental results
  • Process Engineers
  • Quality Engineers
  • Technologists
  • Managers

Training Plan

SESSION I (3 days)

Project Examplescase study
Introduction to Six Sigmalecture
Critical Thinking, Thought Map, examples of Thought Mapslecture + case study
Introduction to Variation (basic statistics)lecture
Quincunx: practical exercise which shows why the distinction between common and special cause variation is so importantpractical exercise
Process Mapping, Examples of Process Maps, Rate of Change Tablelecture + case study + exercise
Introduction to Sampling: Sampling Trees, Box Plots, Range and Mean Chartslecture + practical exercise
Approval of the first piece: helicopterpractical exercise
Measurement System Evaluationlecture + practical exercise
Measurement System Evaluation for alternative datalecture + practical exercise
Project review 

SESSION II (3 days)

Session A refreshgame
Individual Moving Range Control Charts: Introduction and practical usagelecture + case study
Components of Variation Study: Projects Examples, Introductionlecture + case study
Sampling based on Helicopter Manufacturingpractical exercise
Components of Variation study: Sampling Trees, Practical, Graphical & Quantitative Analysislecture + practical exercise
Introduction to Experimentationlecture
Project Example ? planned experimentation utilizationcase study
Experimentation methods comparisonlecture
Full Factorial Designlecture + practical exercise
Fractional Factorial Designlecture + practical exercise
Helicopter experimentation, sequential approachlecture + practical exercise
Project review 

SESSION III (5 days)

Experimentation on the broad range of conditions, limitations of conclusions, what is the reason that conclusions drawn from experiment are not valid in realitypractical exercise
Necessity of noise incorporation into the experiment. Experiment matrix is the planning phase onlylecture + exercise + case study
Factor Relationship Diagram FRD as main tool for noise managementlecture
Randomization limitation, consequences of conclusions limitation, ways of analysislecture
Noise management into experiment ? basic strategies and their influence on our knowledge increase and how to analyse: Repeats, Replicates, Blockinglecture + practical exercise
Analysis of Variance(ANOVA): Fully Nestet Anova i Crossed ANOVAlecture
Project review 

SESSION IV (5 days)

Components of Variation Study ? sampling strategies: Nested, Systematic, Crossedlecture + practical exercise
Limitations of conclusions and way of analysis dependent on selected sampling strategyPractical exercise

Noise management into experimentation ? strategies continuation:

  • Repeats vs. Replicates (what if strategies are confused during analysis phase, ANOVA vs. DoE)
  • Complete Randomize Block Design and Incomplete Randomize Block Design how to select appropriate strategy
  • Whole Plot Split Plot Design ? influence of restrictions on randomization elimination on effects calculation in Experiment. DoE analysis depending on noise level for particular effect
  • CoV in DoE ? Components of Variation Study included into particular experiment treatment
lecture + exercises
Special causes into the experiment, diagnostics and follow uplecture
Data Transformation: when is needed? Which transformation is the best? How to transform the data?lecture + practical exercise
Model building: description of y = f(x) + Noiselecture
Residuals Analysislecture
Project review