Sorry, you do not have access to this eBook
A subscription is required to access the full text content of this book.
Metrics
Views
116
In This Chapter
-
Analyzing Variability
- Introduction to Lean Six Sigma Levels
- Introduction
- Establishing Baseline
- Baseline Performance Metrics
- Counting “Defects” or “Defectives”
- Measuring Characteristic or Variable
- Baseline Process Metrics
- Discrete Outputs
- Process Capability for Binomial Process Outputs
- Process Capability for Poisson Process Output
- Continuous Outputs
- Process Capability Analysis for Normal Process Outputs
- Short-Term Variation
- Analysis Tools
- Cause-and-Effect Diagram (Fishbone Diagram)
- Fault Tree Analysis
- Fault Tree Symbols
- Root Cause Analysis
- Subjective Tools
- Analytical Tools
- Review Questions
- Understanding Hypotheses
- Entitlement
- Types of Errors
- Hypothesis Testing
- Why and When Are Hypothesis Tests Used?
- Translation
- Chi-Squared Test
- Analysis of Variance
- p-Value
- Tukey’s Method
- Fisher’s Least Significant Difference
- Review Questions
- x-y Process Map
- Failure Mode and Effect Analysis
- Failure Mode and Effect Analysis Process Steps
- Risk Assessment and RPN
- Types of FMEA
- Review Questions
- Multi-vari Studies, Process Capability, and Regression
- Regression
- Fitted Line Plot
- Residuals
- Multiple Regression
- Simple Linear Regression Model
- The Method of Least Squares
- Logistics Regression
- Process Capability Analysis
- Process Capability for Normal Distribution
- Process Capability Indices
- Process Performance
- Process Performance Metrics
- Rolled Throughput Yield
- Chi-Squared Analysis of Contingency Tables
- Review Questions
- References
Abstract
This chapter provides foundational knowledge and approaches to measuring the variability of processes in Global Supply Chain Engineering[Sundar1]. In this text, we introduce the varying levels of analysis by contextualizing the Lean Six Sigma levels of the student. In general, the yellow belt level refers to undergraduate students, green belt is correlated to Master’s students and or advanced engineering undergraduate students with exposure to advanced statistics (industrial engineering, operations management and operations engineering), and black belt is synonymous to PhD students, graduate engineering students, and industrial experts with extensive training or experiences.
Other ways to access this content:
Email to request access
Purchase this book
Related chapters
Search for more...
© Informa UK Limited, an Informa Group Company
Home | About RHO | Collections
| Free trial
| How to buy
| Promotions
| Contact us | Help & FAQs
Librarian resources
| Privacy policy
| Cookies
| Terms & conditions
