Lean Six Sigma Black Belt

Name: Lean Six Sigma Black Belt
Brand: Lean Six Sigma

RM15,500.00

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Black belts are experts and changemakers. In addition to project management, they give training.

Training Duration: 10 Days

Certificate Of Completion Available
Group Private Class
VILT Class Available
SBL-Khas Claimable

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Related training:

Lean Six Sigma Yellow Belt

Lean Six Sigma Geen Belt

Black Belt certification represents the extensive study and exhaustive application of Lean Six Sigma and other process improvement techniques.

Black Belt participants will plunge greater into the Lean Six sigma methodologies and bring the participants to the level to steer project teams to achieve innovative business improvements for their organizations.

This course will also emphasize on advanced statistical analysis and organizational change management. Black Belts who are seeking in-depth knowledge to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as SPC, MSA, Hypothesis Testing, Regression, DOE, sample calculation and many others.
Gain thorough understanding of Lean tools and the DMAIC method

Identify areas where improvements can be made

Further develop skills to use analytics, mathematical models and design techniques

Decide on sampling strategies, sample size and confidence intervals

Describe the difference between long-term and short-term process capability

Characterize and optimize processes by computing and applying statistical techniques.

Develop and analyze control charts for both continuous and discrete data

Perform a measurement system analysis

Apply hypothesis tests to compare variance, means and proportions

Conduct regression and residual analyses

Design, simulate, and execute designed experiments that depict validated improvement.

Learn how to plan and implement process control to sustain project gains
This course is for individuals from diverse organizational
functions-operations, quality, logistics, nance, production, engineering and other sta- functions. Participants are normally process experts, team members, project leaders who will lead bigger projects, professional members who are involved in research, innovation or consultation in process improvement practices and future leader who are looking to contribute to high impact projects by incorporating Lean Six Sigma methodology.
Module 1: Introduction

In-depth coaching on Lean Six Sigma fundamentals and methodologies

Lean Six Sigma project selection criteria

Capturing the relationship among different business entities including internal and external impacts

Refresher on Lean Six Sigma Green Belt

Module 2: Leadership & Coaching

Identifying different roles that influences decision making, resources, supporting pillars

Eliminating potential roadblocks in the process of getting green light for project execution

Dealing with difficult team members

Implementing strategic planning for deployment

Module 3: Project Management

Understand and create a structure for project realization

Stakeholder management

Developing essential resource management such as human capital, finance, etc.

Project monitoring and control

Module 4: Define

Bringing the customer needs into perspective (VOC - identify, data collection, requirement listing, etc)

Aligning the project scoping (Project charter - business case, problem statement, goals, SMART, project timeline, measurements, data analysis etc)

Module 5: Measure

Capturing critical data that impacts selected project (Fishbone diagram, takt time, cycle time, work in progress, etc)

Selection of process analysis tools for data gathering (mapping, charts, diagrams, etc)

Define, categorize and plan data collection methods ( check sheets, data collection plan, sampling, etc)

Measurement systems and statistics (MSA, graphical analysis, capability analysis (Cp, Cpk), etc)

Module 6: Analyze

Identify methods and tools to interpret collected data

Analyse and interpret the correlation between variables (regression, central theorem, ANOVA, etc)

Determine the significance of hypothesis testing (type of errors, variances, parametric, non-para metric tests, etc)

Non normal data handling

Hands-on with Minitab software for data analysis (Chi-Square, t-test, boxplot, pareto chart, etc)

Module 7: Improve

Generating ideas (brainstorming, out of the box thinking)

Designing/planning experiments to determine the objectives, responses and outcome of the test (DOE, sample size, randomization, etc)

Identify and eliminate waste techniques (Kaizen, Kanban, Poka Yoke, etc)

Solution risk assessment (FMEA)

Running pilot testing

Module 8: Control

Putting in controls for monitoring improvement (SPC, control charts, TPM, etc)

Introducing visual management elements

Documentation development for sustaining improvement ( control plan, SOPs, etc)

Establish training for knowledge transfer to process owners

Balanced scorecard (Benefits realization)

Handover (SOP, FMEA, compliance etc…)

Team recognition and project closure