Quality Control/Quality Assurance
Statistical Quality Control (SQC) and Process Monitoring
This training provides participants with practical knowledge of statistical techniques used to monitor, control, and improve process quality. Emphasizing the importance of data driven decision making, the course introduces tools such as control charts, histograms, and capability studies to help identify trends, patterns, and sources of variation. Participants will also explore how SQC supports continuous improvement, enhances operational efficiency, and ensures product consistency. By the end of the course, participants will be able to: Understand the principles and goals of Statistical Quality Control, Use control charts to monitor process behavior and detect variation, Analyze data using histograms, scatter diagrams, and Pareto charts Perform process capability analysis (Cp, Cpk, Pp, Ppk), Identify special vs. common causes of variation Apply SQC tools in quality improvement initiatives and support a culture of data driven decision making.
Objectives
- â—‹ Understand principles and tools of quality assurance and control
- â—‹ Use metrics to evaluate and improve quality across operations
- â—‹ Implement ISO standards and regulatory compliance frameworks
- â—‹ Identify root causes of quality issues and lead resolution initiatives
- â—‹ Foster a culture of continuous improvement and customer satisfaction
Target audience
- QC technicians, process engineers, supervisors, production analysts, and anyone responsible for monitoring and controlling process quality.
Program outline
A clear structure for the learning journey.
Program outline
Outline points are grouped in one designed block instead of being treated as separate module cards.
Module 1: Introduction to Statistical Quality Control (SQC)
What is SQC and why it matters
Objectives of statistical process control (SPC)
Data types: variable vs. attribute data
Common vs. special cause variation
Real-world applications of SQC
Module 2: Fundamentals of Process Variation and Data Collection
Nature and sources of process variation
Setting up a data collection plan
Sampling techniques and sample sizes
Measurement accuracy and precision
Basic descriptive statistics: mean, median, range, standard deviation
Module 3: Control Charts for Variables
XÌ„ and R charts
XÌ„ and s charts
Individual and moving range (I-MR) charts
Interpreting control chart patterns
Rules for detecting out-of-control conditions
Module 4: Control Charts for Attributes
p-chart (proportion nonconforming)
np-chart (number nonconforming)
c-chart (count of defects)
u-chart (defects per unit)
Choosing the right chart for the data type
Module 5: Histograms and Graphical Data Analysis
Constructing and interpreting histograms
Identifying distribution shapes and skewness
Box plots, scatter diagrams, and run charts
Visualizing trends and variability
Module 6: Pareto Analysis and Cause Identification
80/20 rule and its relevance in quality
Creating Pareto charts from real data
Identifying vital few vs. trivial many
Integrating Pareto with root cause analysis
Module 7: Process Capability Analysis
Understanding process capability vs. performance
Cp, Cpk, Pp, Ppk explained
Interpreting capability indices and graphs
Assessing process suitability for customer requirements
Using capability studies for decision-making
Module 8: Advanced SPC Interpretation and Decision-Making
Pattern recognition and Western Electric rules
Trend, shift, and cycle analysis
Using control charts to reduce false alarms
Linking SPC results to continuous improvement initiatives
Module 9: Integrating SQC into Daily Operations
Establishing a control plan
Aligning SQC with ISO 9001 or IATF 16949
Training front-line staff in basic SQC tools
Case studies from manufacturing and service industries
Module 10: Continuous Improvement Using Statistical Insights
Data-driven root cause analysis
Corrective and preventive actions based on SQC findings
Supporting Lean and Six Sigma initiatives
KPIs and dashboards for quality tracking
Materials provided
- â—‹ Slides used during the sessions
- â—‹ Group activities and exercises
- â—‹ Worksheets and templates
- â—‹ Case studies relevant to the course
- â—‹ 4D Certificate of Completion issued by The Fourth Dimension Training & Consultancy
- â—‹ Post-course support for technical queries and guidance
Training Options
Programs can be delivered in-house, online, or in a blended format depending on your team's schedule, location, and learning objectives. When an external certificate or exam is included, certification rules and fees remain under the relevant awarding body's policies, while 4D provides the training and preparation support.
Why choose 4D
At The Fourth Dimension Training & Consultancy, we don't believe in one-size-fits-all solutions. Each course we offer is carefully tailored to meet the unique goals, industry challenges, and team dynamics of your organization. Our expert trainers bring decades of hands-on experience and guide participants using real-world case studies, practical tools, and interactive methods. This ensures not only theoretical understanding but also direct relevance to the day-to-day work of your employees. We collaborate closely with your team to adjust content, language, and examples so that the training resonates deeply and delivers lasting impact.
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