Hudson Courses Limited

IASSC Lean Six Sigma Black Belt (Exam Not Included)

4.8 ausgezeichnet 3 Meinungen
Hudson Courses Limited

Originalpreis in GBP:
£ 195

Wichtige informationen

Tipologie Kurs
Methodologie Online
Beginn nach Wahl
  • Kurs
  • Online
  • Beginn:
    nach Wahl

Six Sigma is a set of techniques and tools for process improvement. It was introduced by engineer Bill Smith while working at Motorola in 1986. Jack Welch made it central to his business strategy at General Electric in 1995. Today it is used in many industrial sectors.

Six Sigma seeks to improve the quality of the output of a process by identifying and removing the causes of defects and minimizing variability in manufacturing and business processes. It uses a set of quality management methods, mainly empirical, statistical methods, and creates a special infrastructure of people within the organization, who are experts in these methods. Each Six Sigma project carried out within an organization follows a defined sequence of steps and has specific value targets, for example: reduce process cycle time, reduce pollution, reduce costs, increase customer satisfaction, and increase profits.

The term Six Sigma originated from terminology associated with statistical modeling of manufacturing processes. The maturity of a manufacturing process can be described by a sigma rating indicating its yield or the percentage of defect-free products it creates. A six sigma process is one in which 99.99966% of all opportunities to produce some feature of a part are statistically expected to be free of defects (3.4 defective features per million opportunities). Motorola set a goal of “six sigma” for all of its manufacturing operations, and this goal became a by-word for the management and engineering practices used to achieve it.

Wichtige informationen
Ist dieser Kurs für mich?

Lean Six Sigma Black Belt is most beneficial for organizations that encourage employees to take up Quality projects and ensure efficiency in all business/industry processes. This certification is most suited for:

Quality and Process Managers, System Managers, Analysts, Auditors, Engineers and Executives who need to have a better understanding of Six Sigma and the application of Six Sigma in process/quality improvements.
Production Managers, Production Supervisors, and Customer Service Managers
Persons wanting an initial introduction to Six Sigma thinking and techniques
Consultants who want to incorporate Six Sigma Black Belt into their service offerings
Professionals working in the support functions like Finance, Purchase, Marketing, Training, Recruitment, Operations, IT-Support, Travel.
Six Sigma Green Belts looking to preogress to Black Belt

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Empfehlung der User

Meinungen über diesen Kurs

Das Beste: Making a decision in favour of Hudson was the right choice. They offered me access to their new black belt course without any extra charge.
Zu verbessern: nothing to improve
Kurs abgeschlossen: September 2017
Würden Sie diesen Bildungsanbieter weiterempfehlen?: Ja
Giancarlo Pezzuti
Das Beste: Highly recommended. I highly recommend this Black Belt Six sigma course, each topic is explained really well and the customer service Team has been always really responsive whenever I needed further explanations. Thank you for your service.
Kurs abgeschlossen: November 2016
Würden Sie diesen Bildungsanbieter weiterempfehlen?: Ja
Das Beste: I would highly recommend this course as I find it very helpful. Great support team you can get respond in few minutes and course videos explain you everything step by step. I find it also very interesting and easy to follow. Thank you for your kind assistance. Keep it up!
Kurs abgeschlossen: Juli 2016
Würden Sie diesen Bildungsanbieter weiterempfehlen?: Ja
*Erhaltene Meinungen durch Emagister & iAgora

Was lernen Sie in diesem Kurs?

Six Sigma
Quality Training
Black Belt
Six Sigma Black Belt
Six Sigma Projects
Certification course


At the end of this Six Sigma Black Belt certification course, you will be able to:

Become a key stakeholder in leading, and implementing lean six sigma projects in your organizationUnderstand Six Sigma and DMAIC MethodologyDescribe how to identify an improvement project in the Define phaseExplain how to measure process and product in the Measure phasePerform data analysis and hypothesis testing in the Analyze phaseIdentify the possible improvement actions for the performance of variations in the Improve phaseDefine efficient operating levels for inputs and outputs in the Control phaseIdentify the voice of customers, their requirement & needsUnderstand their role in the success deploymentUnderstand how to develop a strategy for Six Sigma approachApply the DMAIC process to business issues

Key Points

  • Provided by an IASSC fully Accredited Training Organisation (ATO): Hudson
  • Upon successful completion of the final exam (exam fee not included), you will receive a certification from the IASSC confirming you are fully Six Sigma Black Belt certified
  • Course can be completed in 30-60 days
  • 12 months access to course material
  • Course created for Minitab

What does this course cover?  OVERVIEW  1.0 DEFINE1.1 Six Sigma Overview1.1.1 What is Six Sigma1.1.2 Six Sigma History1.1.3 Six Sigma Approach Y = f(x)1.1.4 Six Sigma Methodology1.1.5 Roles & Responsibilities1.2 The Fundamentals of Six Sigma1.2.1 Defining a Process1.2.2 VOC & CTQ’s1.2.3 QFD1.2.4 Cost of Poor Quality (COPQ)1.2.5 Pareto Analysis (80:20 rule)1.3 Lean Six Sigma Projects1.3.1 Six Sigma Metrics1.3.2 Business Case & Charter1.3.3 Project Team Selection1.3.4 Project Risk Management1.3.5 Project Planning1.4 Lean Fundamentals1.4.1 Lean & Six Sigma1.4.2 History of Lean1.4.3 The Seven Deadly Muda1.4.4 Five-S (5S)  2.0 MEASURE2.1 Process Definition2.1.1 Cause & Effect Diagrams2.1.2 Cause & Effects Matrix2.1.3 Process Mapping2.1.4 FMEA2.1.5 Theory of Constraints2.2 Six Sigma Statistics2.2.1 Basic Statistics2.2.2 Descriptive Statistics2.2.3 Distributions & Normality2.2.4 Graphical Analysis2.3 Measurement System Analysis2.3.1 Precision & Accuracy2.3.2 Bias, Linearity & Stability2.3.3 Gage R&R2.3.4 Variable & Attribute MSA2.4 Process Capability2.4.1 Capability Analysis2.4.2 Concept of Stability2.4.3 Attribute & Discrete Capability2.4.4 Monitoring Techniques  3.0 ANALYZE3.1 Patterns of Variation3.1.1 Multi-Vari Analysis3.1.2 Classes of Distributions3.2 Inferential Statistics3.2.1 Understanding Inference3.2.2 Sampling Techniques & Uses3.2.3 Sample Size3.2.4 Central Limit Theorem3.3 Hypothesis Testing3.3.1 Goals of Hypothesis Testing3.3.2 Statistical Significance3.3.3 Risk; Alpha & Beta3.3.4 Types of Hypothesis Test3.4 Hypothesis Testing: Normal3.4.1 1 & 2 sample t-tests3.4.2 1 sample variance3.4.3 One Way ANOVA3.5 Hypothesis Testing: Non-Normal3.5.1 Mann-Whitney & Mood’s Median3.5.2 Kruskal-Wallis3.5.3 Moods Median3.5.4 Friedman3.5.5 1 Sample Sign3.5.6 1 Sample Wilcoxon3.5.7 1 and 2 Sample Proportion3.5.8 Chi-Squared3.5.9 Test of Equal Variances  4.0 IMPROVE4.1 Simple Linear Regression4.1.1 Correlation4.1.2 X-Y Diagram4.1.3 Regression Equations4.1.4 Residuals Analysis4.2 Multiple Regression Analysis4.2.1 Non-Linear Regression4.2.2 Multiple Linear Regression4.2.3 Confidence Intervals4.2.4 Residuals Analysis4.2.5 Data Transformation, Box Cox4.2.6 Stepwise Regression4.2.7 Logistic Regression4.3 Designed Experiments4.3.1 Experiment Objectives4.3.2 Experimental Methods4.3.3 DOE Design Considerations4.4 Full Factorial Experiments4.4.1 2k Full Factorial Designs4.4.2 Linear & Quadratic Models4.4.3 Balanced & Orthogonal Designs4.4.4 Fit, Model & Center Points4.5 Fractional Factorial Experiments4.5.1 Designs4.5.2 Confounding Effects4.5.3 Experimental Resolution  5.0 CONTROL5.1 Lean Controls5.1.1 Control Methods for 5S5.1.2 Kanban5.1.3 Poka-Yoke (Mistake Proofing)5.2 Statistical Process Control5.2.1 Data Collection for SPC5.2.2 I-MR Chart5.2.3 Xbar-R Chart5.2.4 U Chart5.2.5 P Chart5.2.6 NP Chart5.2.7 X-S chart5.2.8 CumSum Chart5.2.9 EWMA Chart5.2.10 Control Methods5.2.11 Control Chart Anatomy5.2.12 Subgroups/Variation/Sampling5.2.13 Center Line & Control Limits5.3 Six Sigma Control Plans5.3.1 Cost Benefit Analysis5.3.2 Elements of the Control Plan5.3.3 Elements of the Response Plan