Learn how to plan projects and collect data effectively using the Define and Measure stages of Six Sigma's DMAIC approach for improving processes.
Learn how to plan projects and collect data effectively using the Define and Measure stages of Six Sigma's DMAIC approach for improving processes.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full ASQ-Certified Six Sigma Green Belt (CSSGB) Exam Prep Specialization program. You can audit this specific course for free to explore the content.
Instructors:
English
What you'll learn
Define project goals using SMART criteria
Analyze Voice of Customer data for CTQ parameters
Develop process maps and performance metrics
Implement effective data collection strategies
Perform measurement system analysis
Skills you'll gain
This course includes:
3 Hours PreRecorded video
15 assignments, 1 peer review
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This comprehensive course focuses on the Define and Measure phases of the DMAIC framework. Students learn project identification, voice of customer analysis, process mapping, and measurement system analysis. The curriculum covers statistical concepts, data collection methods, and process capability assessment, preparing learners for Six Sigma Green Belt certification.
Define: Project Identification, Voice of the Customer (VoC), and Project Management Basics
Module 1 · 1 Hours to complete
Define: Project Management and Planning Tools
Module 2 · 1 Hours to complete
Measure: Probability and Statistics and Collecting and Summarizing Data
Module 3 · 1 Hours to complete
Measure: Measurement System Analysis (MSA)
Module 4 · 1 Hours to complete
Peer-Reviewed Assignment
Module 5 · 2 Hours to complete
Fee Structure
Instructors
Master Black Belt in Six Sigma and Transformation Excellence
Jaswant Singh Verma brings over 37 years of comprehensive experience in quality management and operational excellence, holding a BS in Engineering from BITS-Pilani and prestigious certifications including Master Black Belt from ISI-Pune and Lean Practitioner from SSA. As a Change Management Consultant and trainer at SkillUp EdTech, he specializes in Six Sigma, Lean, Total Productive Maintenance (TPM), Theory of Constraints (TOC), Quality Management Systems (QMS), New Product Development (NPD), and Business Excellence Models based on Malcolm Baldrige principles. His expertise extends to multiple quality certifications including Lead Auditor in ISO-9001, ISO-14001, IATF-16949, OHSAS-45001, and ISO-22001. He has conducted numerous training programs for Black Belt, Green Belt, and Yellow Belt certifications at organizations including Samtel, HNG, Balasore Alloys, Amtek, and ABG. Currently serving as a Transformation Consultant, he focuses on providing hands-on training and guidance for Six Sigma projects, helping organizations achieve operational excellence through systematic process improvement methodologies.
Expert in Six Sigma Methodology and Process Improvement
Madhumita Pati serves as a distinguished instructor at O.P. Jindal Global University and SkillUp EdTech, specializing in Six Sigma methodology and process improvement frameworks. Her expertise is particularly evident in her comprehensive course "The DMAIC Framework - Define and Measure Phase," which provides detailed insights into the crucial initial stages of the Six Sigma improvement process. Her teaching focuses on helping professionals understand and implement the Define and Measure phases of DMAIC, covering essential concepts such as process mapping, data collection planning, measurement system analysis, and baseline performance establishment. With extensive experience in quality management and process improvement, she brings practical insights to theoretical concepts, making complex Six Sigma methodologies accessible to learners. Her course emphasizes hands-on application of DMAIC principles, helping students develop skills in project charter creation, stakeholder analysis, process capability determination, and measurement system validation.
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