Statistical Process Control (SPC) Training Presentation

➡️ Sample File: ➡️ Statistical Process Control Presentation

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➡️ Refer to the below details of this Presentation Bundle

• Statistical Process Control Complete Presentation – 470 Slides
• Excel Template for Statistical Process Control

➡️ YOU WILL LEARN BELOW THINGS IN THIS PRESENTATION

➡️ Fundamental of Statistical Process Control

• What is Statistical Process Control (SPC)?
• Meaning of Statistical Process Control
• Why to Use Statistical Process Control (SPC)?
• Where to Use Statistical Process Control (SPC)?
• Objective Of Statistical Process Control
• Goals Of Statistical Process Control
• Collecting and Recording Data for SPC
• Analysing the Data in SPC
• Prevention Vs Detection
• Process Control System Model System with Feedback
• Variation in Process
• 6Ms’ Sources of Variations
• Common Cause Variation vs Special Cause Variation
• Common Cause Variation
• Characteristics of Common Cause Variation
• Examples of Common Cause Variation
• Special Cause Variation
• Characteristics of Special Cause Variation
• Examples of Special Cause Variation
• Common Cause Variation vs Special Cause Variation
• Fundamental Equation of Statistical Process Control
• Relation Between Control Chart and Variation
• Relation Between Process Stability and Variation
• In Control Process vs In Specification Process
• Characteristics of Stable Process
• Local Actions vs Actions on The System
• Process Control and Process Capability
• Process Control
• Process Capability
• Relation Between Process Control and Process Capability
• Process Capability vs Process Performance
• Introduction of Quality
• Quality Improvement
• Stages of The Continual Process Improvement Cycle
• Product Control vs Process Control

➡️ Introduction of Basic Statistics

• Types of Data
• Shapes of Distributions
• Normal Distribution
• Statistical Tools for Analysis of Data Sets
• Mean
• Median
• Mode
• Range
• Variance
• Standard Deviation
• Shape of the Curve
• Subgroup, Sample, and Population
• Normal Distribution (ND)
• Evaluation of Capability for a Stable Process

➡️ Fundamentals of Control Chart

• Introduction of Control Chart
• History of Control Chart
• When To Use a Control Chart?
• Principles of Variation
• Process Improvement Using Control Chart
• Basics Of the Control Chart
• Popularity Of Control Charts
• Types The Control Chart
• Types of Data
• Introduction of Attribute Data
• Examples of the Attribute Data
• Introduction of Variable Data
• Examples of Variable Data
• Classification of Control Chart
• Selection of Control Chart
• Introduction of Defect
• Introduction of Defectives
• Elements of Control Charts
• Control Limit vs Specification Limit
• Information Required for Control Chart Report

➡️ Variable Control Chart

• Types of Variable Control Chart
• Introduction of I-MR Chart
• Uses of I-MR Chart
• I-MR Chart vs Xbar-R Chart
• When Would You Use I-MR Chart and Xbar-R Chart?
• How to Use an I-MR Chart?
• Sampling Method for I-MR Chart
• Three Fundamental Uses of I-MR Chart
• Introduction of X-Chart or I-Chart
• Introduction of MR-Chart
• Statistical Control of Control Chart
• When to Use I-MR Chart?
• Steps For Constructing Individual Control Chart
• Summary of Formulas Used in I-MR Chart
• Example of Moving Range Chart
• Interpretation of Moving Range Chart
• Tips For Effective Use Of I-MR Control Chart

➡️ Xbar-R chart

• Introduction of Xbar R-Chart
• X Bar R Control Chart Definitions
• When to Use X Bar R Control Chart?
• How to Interpret the X Bar R Control Charts?
• Important Notes for the X Bar R Control Charts
• Constants For Xbar R-Chart
• 8-Steps in Constructing Control Chart
• Step 1. Data Collection
• Step 2. Calculate The Sub Group Average
• Step 3. Calculate The Overall Average
• Step 4. Calculate the subgroup Range (R)
• Step 5. Calculate the Average Range (R-bar)
• Step 6. Calculate The Control Limit for Xbar and R Chart
• Step 7. Plot The Control Chart
• Example of Xbar Chart
• Example of R-Chart
• Interpretation of the Chart
• Summary of Typical Special Cause Criteria
• Defining "Out-of-Control" Signals

➡️ Xbar & S Charts

• Introduction of Xbar & S Charts
• Xbar and S Chart Constants
• Xbar and S Chart Example
• Limitations of Variable Control Chart
• Advantages of Variable Control Chart
• Disadvantages of Variable Control Chart
• Benefits of Variable Control Chart

➡️ Attribute Control Chart

• Types of Attribute Control Chart
• Introduction on Attribute Control Chart
• Advantages of Attribute Control Charts
• Disadvantages of Attribute Control Charts
• How Attribute Control Chart Types are Defined?
• Elements of a Attribute Control Chart for Attributes
• Why the Control Limits are the Key to Control Charts?
• How the 3-sigma Limits Were Calculated?
• How to Construct the Attribute Control Charts?
• Interpretation of Attribute Control Chart
• Introduction of Defect
• Introduction of Defective
• 4 Types of Attribute Charts
• How to Select Attribute Charts?
• P Chart (Proportion Chart)
• When to Use a P Chart?
• How to Use a P Chart?
• Formulas of P-Chart
• Example of P-Chart with Variable Sub Group Size
• Example of P-Chart with Constant Sub Group Size
• Introduction of nP Chart
• How to Use nP Chart?
• Example of nP-Chart
• Introduction of C Chart
• When to Use C Chart?
• How to Use C Chart?
• Example of C-Chart
• Introduction of U Chart
• When to Use U Chart?
• How to Use U Chart?
• Formulas of U Chart
• Example of U-Chart
• Limitations of Attribute Control Chart
• Advantages of Attribute Control Chart
• Disadvantages of Attribute Control Chart
• Benefits of Attribute Control Chart

➡️ Other Types of Control Charts

• Other Types of Control Charts
• Stoplight Control Chart
• How Stoplight Control Chart Works?
• Steps For Stoplight Control Chart
• A Method to Colour-Code Performance Indicator Results for Executive Summary
• Pre-Control Chart
• Key Features of a Pre-Control Chart
• Rules for Pre-Control Chart
• Short-Run Control Charts
• Charts for Detecting Small Changes
• Cumulative Sum (CUSUM) Chart
• Exponentially Weighted Moving Average (EWMA) Charts
• Non-Normal Charts
• Shewhart Control Charts
• Central Limit Theorem
• Key Points of The Central Limit Theorem
• Multivariate Charts
• Regression Control Charts

➡️ Understanding Process Capability and Process Performance for Variables Data

• Introduction Process Capability and Performance
• Definitions of Process Terms
• Indices with Bilateral Tolerances
• Indices with Unilateral Tolerances
• Process Capability & Process Performance (Pp, Ppk, Cp, Cpk)
• Why Use a Process Capability Study?
• Short Term and Long-Term Capability
• What are Process Capability Indices?
• Why to Use Cp, Cpk, Pp, and Ppk?
• When to Use Process Capability Indices: Pp, Ppk, Cp, and Cpk
• Differences Between Cp & Pp
• Attribute & Discrete Capability
• Process Capability for Non-Normal Data
• Process Capability for Attributes Data
• Binomial Capability Analysis
• Process Capability Studies
• Concept of Stability
• Verifying Stability and Normality
• Process Capability Study Procedure
• Identifying Characteristics
• Identifying Specifications/Tolerances
• Monitoring Techniques for Process Capability
• What Can Process Capability and Process Performance Tell Us?
• Different Methods to Calculate Process Capability
• Is a Process Capable?
• Is the Process Acceptable?
• A Note on a Process Being Both Capable and Acceptable
• Pp vs. Cp (Capability Indices)
• Uses for Cp & Pp
• Ppk vs. Cpk (Acceptable Performance)
• Pp, Ppk vs. Cp, CPK
• What is Process Capability Analysis?
• The Basic Concept of Process Capability
• The Basic Calculations of Process Capability
• A Simple Analogy for Process Capability
• A More Realistic Analogy for Process Capability
• Fundamental of Data Collection
• Process Stability
• Short-Term & Long-Term Process Behaviour
• Difference between Cp, Cpk and Pp, Ppk
• What Cpk Value Should You Aim For?
• What is Process Capability Study?
• Why to Measure Process Capability?
• Four Steps for Cpk Study with Excel Template
• Interpretation of Cpk value

➡️ Limitations of Statistical Process Control

➡️ Advantages of Statistical Process Control

➡️ Disadvantages of Statistical Process Control

➡️ Benefits of Statistical Process Control