Statistical Process Control in Manufacturing
( 30 Modules )

Module #1
Introduction to Statistical Process Control
Overview of SPC, its importance in manufacturing, and its benefits

Module #2
Understanding Variation
Types of variation, causes of variation, and the impact on process performance

Module #3
Statistical Fundamentals
Review of statistical concepts:mean, median, mode, standard deviation, and probability

Module #4
Process Capability
Calculating Cp, Cpk, and Pp indices to determine process capability

Module #5
Control Charts Overview
Introduction to control charts, types, and applications

Module #6
Variable Control Charts
Constructing and interpreting X-bar, R, and s charts

Module #7
Attribute Control Charts
Constructing and interpreting p, np, c, and u charts

Module #8
Interpretation of Control Charts
Identifying special causes, out-of-control signals, and corrective actions

Module #9
Process Control and Stoplight Methodology
Using control charts to make process control decisions

Module #10
Design of Experiments (DOE)
Introduction to DOE, types, and applications in process optimization

Module #11
Regression Analysis
Using regression to model relationships between variables

Module #12
Multivariate Analysis
Analyzing multiple variables to identify relationships and patterns

Module #13
Advanced SPC Topics
EWMA, CUSUM, and other advanced SPC techniques

Module #14
SPC in Manufacturing Applications
Case studies of SPC in manufacturing:automotive, aerospace, pharmaceuticals

Module #15
Implementation and Maintenance of SPC
Best practices for implementing and sustaining SPC in a manufacturing environment

Module #16
Human Factors in SPC
The role of human factors in SPC, including training and communication

Module #17
SPC Software and Tools
Overview of SPC software and tools, including Minitab, Excel, and JMP

Module #18
Auditing andCertification in SPC
Internal auditing and certification processes for SPC

Module #19
Continuous Improvement and Kaizen
Using SPC as a foundation for continuous improvement and Kaizen initiatives

Module #20
Root Cause Analysis and Corrective Action
Using SPC to identify and address root causes of problems

Module #21
Six Sigma and SPC
The relationship between Six Sigma and SPC, including belt roles

Module #22
SPC and ISO 9001
The role of SPC in achieving ISO 9001 certification

Module #23
Case Studies in SPC
Real-world examples of SPC in manufacturing, including successes and challenges

Module #24
SPC and Industry 4.0
The impact of Industry 4.0 on SPC, including big data and IoT

Module #25
Global Perspectives on SPC
Comparing SPC practices and regulations across countries and regions

Module #26
SPC in Supply Chain Management
The role of SPC in managing and optimizing supply chains

Module #27
SPC and Lean Manufacturing
The relationship between SPC and Lean manufacturing principles

Module #28
SPC and Total Productive Maintenance (TPM)
The role of SPC in TPM and overall equipment effectiveness

Module #29
Advanced Topics in SPC
Special topics in SPC, including machine learning and artificial intelligence

Module #30
Course Wrap-Up & Conclusion
Planning next steps in Statistical Process Control in Manufacturing career

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Statistical Process Control in Manufacturing ( 30 Modules )

Statistical Process Control in Manufacturing
( 30 Modules )