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Quest Training

Seven Basic Quality Tools (7 QC Tools) Training Course

Teaches check sheets, histograms, Pareto charts, cause-and-effect and scatter diagrams, control charts and flowcharts to find causes of quality problems.

QC · Quality Control & Quality AssuranceAll Levels#2851ClassroomEnglish , Arabic
Duration
5 Days
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Free substitution at any time · 30+ days' notice: full refund minus 10%. Cancellation policy

Sectors:Quality Management & Operational ExcellenceCategories:Quality Control & Quality Assurance

Course Overview

The Seven Basic Quality Tools are fundamental techniques for identifying quality problems, analysing process performance, investigating causes of defects, and supporting evidence-based decision-making. Used across manufacturing, service delivery, engineering, and operational environments, these tools help organizations move beyond assumptions and subjective judgments toward structured quality analysis and measurable improvement. This course provides practical training in the seven tools: check sheets, histograms, Pareto charts, cause-and-effect diagrams, scatter diagrams, control charts, and flowcharts. Participants learn how to collect and organize data, visualize performance patterns, distinguish significant problems from minor issues, investigate potential root causes, and monitor process stability. The course also explores how these tools support quality control, corrective actions, process improvement, and the prevention of recurring defects. Through hands-on exercises and realistic workplace scenarios, participants develop the ability to select the appropriate quality tool for different problems, interpret findings accurately, and translate analysis into practical improvement actions. The emphasis is on applying the tools systematically to improve product and service quality, reduce defects and variation, strengthen process consistency, and support continuous improvement.

Learning Objectives

  • Explain the purpose and application of the Seven Basic Quality Tools.
  • Identify the appropriate quality tool for different operational problems.
  • Develop check sheets and structured methods for collecting reliable quality data.
  • Construct and interpret histograms, Pareto charts, and scatter diagrams.
  • Apply cause-and-effect diagrams to investigate potential sources of quality problems.
  • Use flowcharts to analyse processes and identify inefficiencies and failure points.
  • Understand control charts and their role in monitoring process stability.
  • Distinguish common-cause variation from special-cause variation.
  • Interpret quality data to support corrective and preventive actions.
  • Integrate the Seven Basic Quality Tools into quality management and continuous improvement activities.

Who Should Attend

Quality assurance and quality control professionals. Quality engineers and process engineers. Production, manufacturing, and operations managers. Supervisors and team leaders responsible for process performance. Continuous improvement and operational excellence specialists. Process analysts and performance improvement professionals. Internal auditors and quality management system personnel. Maintenance and reliability professionals investigating recurring failures. Professionals seeking practical skills in quality analysis and problem-solving.

Learning Outcomes

  • Select suitable quality tools based on the nature of a problem and available data.
  • Collect, classify, and organize quality data systematically.
  • Interpret frequency distributions and identify patterns in process performance.
  • Prioritize quality issues using Pareto analysis.
  • Investigate potential causes of defects using structured cause-and-effect analysis.
  • Visualize relationships between variables using scatter diagrams.
  • Map processes to identify delays, unnecessary steps, and potential failure points.
  • Interpret control charts to assess process stability and variation.
  • Develop evidence-based corrective actions from quality analysis findings.
  • Apply the Seven Basic Quality Tools to practical quality improvement scenarios.

Course Outline

Day 1

Quality Fundamentals, Data Collection, and Process Visualization

  • Principles of quality management and the role of data-driven problem-solving.
  • Overview of the Seven Basic Quality Tools and their applications.
  • Understanding qualitative and quantitative quality data.
  • Designing check sheets for defect recording, inspection, and process monitoring.
  • Data classification, sampling considerations, accuracy, and consistency.
  • Developing histograms to visualize distributions and process variation.
  • Interpreting frequency patterns, spread, and potential abnormalities.
  • Selecting appropriate tools based on problem characteristics and data requirements.
  • Practical Exercise: Develop a check sheet and construct a histogram using a sample quality dataset to identify defect patterns and variation.
Day 2

Pareto Analysis and Cause-and-Effect Investigation

  • Principles of Pareto analysis and the 80/20 concept in quality improvement.
  • Categorizing defects, complaints, rework, and operational failures.
  • Constructing Pareto charts and ranking problems by frequency, cost, or impact.
  • Distinguishing high-priority issues from less significant problems.
  • Understanding cause-and-effect diagrams and their structure.
  • Applying the 6M framework: Manpower, Machine, Method, Material, Measurement, and Mother Nature (Environment).
  • Conducting structured brainstorming and identifying potential root causes.
  • Validating suspected causes using evidence rather than assumptions.
  • Practical Exercise: Analyse a defect dataset using a Pareto chart, then develop a cause-and-effect diagram to investigate the leading quality problem.
Day 3

Scatter Diagrams and Process Flowcharts

  • Understanding relationships between variables in quality and process performance.
  • Constructing scatter diagrams and interpreting positive, negative, and weak correlations.
  • Recognizing the limitations of correlation and avoiding unsupported causal conclusions.
  • Identifying potential relationships between operating conditions and quality outcomes.
  • Mapping process sequences using flowcharts and standard symbols.
  • Identifying bottlenecks, unnecessary steps, decision delays, and rework loops.
  • Analysing handoffs, inspection points, and process control weaknesses.
  • Using process mapping to support standardization and improvement planning.
  • Practical Exercise: Develop a scatter diagram to investigate a possible relationship between two process variables and map a service or production process to identify improvement opportunities.
Day 4

Control Charts and Statistical Process Monitoring

  • Principles of process stability and statistical process control (SPC).
  • Understanding common-cause and special-cause variation.
  • Selecting suitable control charts for different types of data.
  • Overview of variable control charts, including X-bar and R charts.
  • Overview of attribute control charts, including p, np, c, and u charts.
  • Understanding control limits and distinguishing them from specification limits.
  • Interpreting control chart patterns and recognizing potential signals of process change.
  • Investigating out-of-control conditions and determining appropriate responses.
  • Practical Exercise: Analyse a sample control chart, identify signs of unusual variation, and recommend appropriate investigation and response actions.
Day 5

Integrating the Seven Quality Tools into Continuous Improvement

  • Selecting and combining quality tools to address complex operational problems.
  • Applying the tools within structured problem-solving and corrective action processes.
  • Linking quality analysis with root cause investigation and improvement verification.
  • Developing action plans based on verified findings and prioritized risks.
  • Monitoring corrective action effectiveness using quality data and performance indicators.
  • Preventing defect recurrence through standardization and process controls.
  • Integrating quality tools into daily operations, audits, and continuous improvement initiatives.
  • Communicating findings through clear charts, reports, and evidence-based recommendations.
  • Practical Exercise: Complete an integrated quality improvement case by selecting appropriate tools, analysing sample data, identifying likely causes, and developing a measurable corrective action plan.

Upcoming Dates

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Bangkok · 14 – 18 Dec 2026 · Classroom

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