
- Quality Tools & Techniques
- 14 hours
Introduction
This training program provides participants with the necessary tools and knowledge to effectively implement Statistical Process Control (SPC) techniques in their organizations. SPC is a powerful method for monitoring, controlling, and improving processes to ensure consistency and quality in products and services.
Objectives
- Understand the fundamental concepts of SPC and its importance in process improvement
- Learn basic statistical techniques essential for SPC implementation
- Gain proficiency in constructing and interpreting control charts for both variables and attributes
- Develop skills to identify and respond to out-of-control situations
- Perform capability studies to assess process performance
- Apply learned concepts through practical case studies and workshop exercises
Duration
2 days (14 hours)
Who Should Attend
- Quality Assurance Managers
- Production Managers
- Process Engineers
- Quality Control Personnel
- Anyone involved in process improvement initiatives
Course Fees
Member Fee: $529.52
Non-Member Fee: $586.42
All fees stated are inclusive of Registration Fee and 9% GST.
Award of Certificate
Certificate of Completion will be issued to participants who have attended at least 75% of the course.
Course Content
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Introduction
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• Overview of Statistical Process Control
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• Importance of SPC in quality management
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Basic Statistics
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• Measures of Central Tendency and Dispersion
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• Probability Distributions
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SPC Concepts
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• Variation and its types
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• Common cause variation vs. special cause variation
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Inferential Statistics
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• Population & Samples
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• Probability Distribution (Z Score and t Score)
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• Statistical Estimation (Confidence Intervals and Hypothesis Testing)
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Control Charts for Variables
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• Xbar-R chart (Mean and Range)
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• Individual MR chart (Individual Measurement and Moving Range)
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• Xbar-S chart (Mean and Standard Deviation)
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Control Charts for Attributes
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• np Chart (Number of Defects)
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• c Chart (Count of Defects)
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• u Chart (Defects per Unit)
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Interpretation of Variable and Attribute Control Charts
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• Rules for detecting out-of-control points
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• Possible causes of Out-of-control Symptoms
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Reaction for Out-of-Control Situations
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Capability Study
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• Process Capability Indices (Cp, Cpk, Pp and Ppk)
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• Assessing process performance
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Case Studies
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• Real-world examples illustrating SPC application
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Workshop Exercises
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• Manual calculation of control charts
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• Application of SPC techniques using software (e.g., Minitab)
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