Design Lean Six Sigma Black Belt

IE59000

Credit Hours:

3

This course will provide the comprehensive knowledge of Design for Lean Six Sigma (DFLSS) - Black Belt methodologies and tools. We will cover the structured DMAIC methodology to improve any existing process and product variations. Lean Manufacturing will be included for the elimination of wastes. The Design for Six Sigma (DFSS) methodology is introduced for new product development, along with Nonparametric Statistics for healthcare applications. Lastly, the concept of System Reliability Analysis will be addressed.

Why should I take this course?

This course should cover all the main topics to reflect the ASQ (American Society for Quality) Six Sigma Black Belt Body of Knowledge. Upon the completion of this course, one should gain the necessary knowledge and may be eligible to prepare for the ASQ-Six Sigma Black Belt certification examination. 
This course will prepare one to become an effective Continuous Improvement / Operational Excellence change agent for business transformation across the enterprise. Moreover, the additional coverage of DFSS and System Reliability Analysis will enrich the technical skills for new product development life cycle.

Learning Objectives and Tools:


1. Master the DMAIC Framework for existing process and product improvement
2. Train to become an effective process improvement change agent leader
3. Define: Project Charter, VOC, SIPOC, Effective Teams
4. Measure: KPI, basic statistics, Process Mapping, SPC, MSA, Process Capability
5. Analyze: Pareto Chart, Fishbone, Hypothesis Testing, ANOVA, FMEA, Regression
6. Improve: Design of Experiment, RSM, Generate Improvement Ideas, Pugh Matrix,
7. Control: Implementation Plan and Process Management
8. Lean: JIT, TPS, 8 Wastes, 5S, Standard Work, VSM, Kaizen, Poka-yoke, SMED, Pull, OEE, Heijunka, change management
9. DFSS: QFD, House of Quality, Design Concepts, TRIZ, Design for X, Taguchi Method
10. Nonparametric Statistics – healthcare
11. System Reliability Analysis.
12. DMAIC Team Project