This module focuses on Factor Effect Calculations, a crucial aspect of analysing experimental data. Participants will learn:
This module introduces the foundational concepts in quality management, emphasizing the evolution of quality practices and their importance in contemporary organizations. Participants will explore historical perspectives and modern methodologies that shape quality assurance today. Key topics include:
This module continues the exploration of quality management concepts, delving into advanced tools and techniques used in the field. Participants will gain insights into:
This module further develops the understanding of quality management by examining advanced methodologies and their applications in real-world scenarios. Key learning points include:
This module focuses on the essential steps for initiating a Six Sigma program within an organization. Participants will learn about the critical factors that contribute to successful implementation, including:
This module provides a comprehensive review of probability and statistics, essential for understanding Six Sigma principles. Participants will cover:
This module extends the review of probability and statistics, exploring advanced statistical techniques used in Six Sigma projects. Key topics include:
This module continues the review of probability and statistics with an emphasis on practical applications in quality management. Participants will explore:
This module wraps up the review of probability and statistics, ensuring participants have a solid foundation for applying these concepts in Six Sigma projects. Key areas include:
This module provides an overview of Quality Management Systems (QMS) and their significance in organizations. Key topics include:
This module focuses on the Cost of Quality (CoQ) and Total Quality Management (TQM) tools. Participants will learn about:
This module covers Quality Function Deployment (QFD) and the significance of ISO 9000 standards. Participants will explore:
This module examines QS 9000 standards and awards related to quality management. Key discussions will include:
This module discusses the concept of competing through service quality, highlighting its importance in todayâs market. Learners will cover:
This module introduces project management concepts relevant to Six Sigma. Participants will learn about:
This module covers the project life cycle, emphasizing its phases and their significance in Six Sigma projects. Topics include:
This module introduces the Critical Path Method (CPM), a vital technique for project scheduling and management. Participants will learn:
This module focuses on Measurement System Analysis (MSA), essential for ensuring accurate data collection in Six Sigma projects. Key topics include:
This module introduces Acceptance Sampling, a critical component of quality control. Participants will learn about:
This module focuses on designing effective sampling plans for quality control. Key learning outcomes include:
This module introduces MIL-STD-105E Sampling Plans, a standardized approach to acceptance sampling. Topics include:
This module covers the fundamentals of Statistical Process Control (SPC), a methodology for monitoring and controlling processes. Participants will explore:
This module provides examples of control charts used in SPC. Participants will learn about:
This module teaches participants how to create control charts using Microsoft Excel. Key learning points include:
This module focuses on Process Capability, assessing a process's ability to produce output within specified limits. Participants will learn:
This module introduces Quality Function Deployment (QFD) and its role in product design and development. Key discussions will include:
This module provides an overview of Design of Experiments (DOE), a key technique for quality improvement. Participants will learn:
This module covers the planning phase for conducting Design of Experiments (DOE). Participants will explore:
This module focuses on Factor Effect Calculations, a crucial aspect of analysing experimental data. Participants will learn:
This module introduces ANOVA (Analysis of Variance) in the context of Design of Experiments (DOE). Key topics include:
This module explores benchmarking in Six Sigma, a critical practice for continuous improvement. Participants will learn:
This module teaches participants how to effectively benchmark in their organizations. Key learning points include:
This module examines the role of Six Sigma in supply chains, highlighting its impact on efficiency and quality. Participants will explore:
This module introduces Taguchi Methods, focusing on robust design for quality improvement. Key topics include:
This module covers the concept of robust design, emphasizing its significance in quality management. Participants will learn:
This module discusses the journey to Six Sigma, outlining the steps organizations must take to achieve Six Sigma status. Key topics include:
This module presents a case study of defect reduction, showcasing the application of Six Sigma principles in a real-world scenario. Participants will analyze:
This module focuses on Design for Manufacturing (DFM) and Reliability, emphasizing their importance in quality management. Key learning points include:
This module introduces Failure Modes and Effects Analysis (FMEA), a critical tool in risk management. Participants will learn:
This module discusses the implementation of Six Sigma within organizations, focusing on practical approaches and best practices. Key topics include:
This final module highlights how to achieve results from Six Sigma initiatives. Participants will learn: