STATISTICAL PROCESS CONTROL (SPC)

Introduction  0/2

• Lecture1.1
  • Overview of Statistical Process Control
• Lecture1.2
  • Importance of SPC in quality management

Basic Statistics  0/2

• Lecture2.1
  • Measures of Central Tendency and Dispersion
• Lecture2.2
  • Probability Distributions

SPC Concepts  0/2

• Lecture3.1
  • Variation and its types
• Lecture3.2
  • Common cause variation vs. special cause variation

Inferential Statistics  0/3

• Lecture4.1
  • Population & Samples
• Lecture4.2
  • Probability Distribution (Z Score and t Score)
• Lecture4.3
  • Statistical Estimation (Confidence Intervals and Hypothesis Testing)

Control Charts for Variables  0/3

• Lecture5.1
  • Xbar-R chart (Mean and Range)
• Lecture5.2
  • Individual MR chart (Individual Measurement and Moving Range)
• Lecture5.3
  • Xbar-S chart (Mean and Standard Deviation)

Control Charts for Attributes  0/3

• Lecture6.1
  • np Chart (Number of Defects)
• Lecture6.2
  • c Chart (Count of Defects)
• Lecture6.3
  • u Chart (Defects per Unit)

Interpretation of Variable and Attribute Control Charts  0/2

• Lecture7.1
  • Rules for detecting out-of-control points
• Lecture7.2
  • Possible causes of Out-of-control Symptoms

Reaction for Out-of-Control Situations  0/0

Capability Study  0/2

• Lecture9.1
  • Process Capability Indices (Cp, Cpk, Pp and Ppk)
• Lecture9.2
  • Assessing process performance

Case Studies  0/1

• Lecture10.1
  • Real-world examples illustrating SPC application

Workshop Exercises  0/2

• Lecture11.1
  • Manual calculation of control charts
• Lecture11.2
  • Application of SPC techniques using software (e.g., Minitab)