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Quest Training

Statistical Process Control (SPC) Training Course

Teaches how to choose and read control charts, separate common from special cause variation and judge process capability before defects recur.

SPC · Statistical Process Control & Quality AnalyticsAll Levels#2550ClassroomEnglish , 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:Statistical Process Control & Quality Analytics

Course Overview

This advanced practical course develops the ability to use Statistical Process Control (SPC) to monitor process performance, distinguish normal process variation from abnormal conditions, and prevent quality problems before they become recurring defects. The programme focuses on applying statistical thinking directly to operational and quality decisions. Participants work with process data to select appropriate control charts, establish meaningful control limits, interpret process behaviour, investigate special causes, and determine whether a process is stable and capable of consistently meeting requirements. The course also connects SPC with process capability analysis, root cause investigation, corrective action, quality improvement, and performance monitoring. Practical exercises are used throughout to strengthen data interpretation and decision-making rather than relying only on theoretical statistical concepts.

Learning Objectives

  • Analyse the principles of statistical process control and statistical thinking.
  • Distinguish common-cause variation from special-cause variation.
  • Evaluate process data to determine stability and consistency.
  • Select appropriate control charts for different types of process data.
  • Calculate and interpret control limits and process performance indicators.
  • Analyse control charts to identify abnormal process behaviour.
  • Investigate assignable causes of variation using structured analysis.
  • Apply process capability concepts to evaluate performance against specifications.
  • Interpret capability indices and identify limitations in capability analysis.
  • Develop appropriate responses to out-of-control conditions.
  • Integrate SPC with root cause analysis, corrective action, and continuous improvement.
  • Establish practical SPC monitoring methods for sustainable process performance.

Who Should Attend

This course is designed for Quality Managers, Quality Engineers, QA/QC professionals, Process Engineers, Manufacturing Engineers, Production Managers, Operations Supervisors, and Continuous Improvement specialists involved in process monitoring and quality improvement. It is also suitable for professionals working in production, maintenance, laboratory operations, reliability, process improvement, operational excellence, and performance management where process data is used to support operational decisions. The programme is particularly relevant to organizations seeking to reduce process variation, improve consistency, prevent defects, strengthen process capability, and establish data-driven quality control practices.

Learning Outcomes

  • Explain the role of SPC in controlling and improving process performance.
  • Identify different sources and patterns of process variation.
  • Determine whether observed variation is common cause or special cause.
  • Select suitable control charts based on data type and process characteristics.
  • Construct and interpret control charts using real process data.
  • Identify trends, shifts, cycles, and unusual patterns in process behaviour.
  • Investigate potential causes of out-of-control conditions.
  • Assess process stability before performing capability analysis.
  • Calculate and interpret process capability and performance measures.
  • Recommend appropriate actions based on SPC findings.
  • Link SPC results with root cause analysis and corrective improvement activities.
  • Establish an effective SPC monitoring approach for critical processes.

Course Outline

Day 1

SPC Principles, Process Variation & Statistical Thinking

  • Fundamentals and purpose of Statistical Process Control.
  • Understanding variation and its impact on process performance.
  • Common-cause and special-cause variation.
  • Statistical thinking and process-oriented decision-making.
  • Process data types and measurement considerations.
  • Sampling strategies and rational subgrouping.
  • Understanding distributions, averages, ranges, and variation.
  • Data quality requirements for effective SPC.
  • Identifying meaningful process characteristics for monitoring.
  • Practical Application: Analyse a process dataset and distinguish normal variation from potential abnormal behaviour.
Day 2

Control Charts & Process Monitoring

  • Principles and structure of control charts.
  • Variable and attribute control charts.
  • Selecting the appropriate chart for different data types.
  • X-bar and R charts.
  • X-bar and S charts.
  • Individual and moving range charts.
  • Proportion and defect-based control charts.
  • Establishing and interpreting control limits.
  • Interpreting points and patterns outside expected process behaviour.
  • Practical Application: Develop and interpret control charts using operational quality data.
Day 3

Control Chart Analysis & Special Cause Investigation

  • Reading process behaviour beyond individual out-of-control points.
  • Detecting trends, shifts, runs, cycles, and unusual patterns.
  • Investigating special causes of variation.
  • Linking statistical signals to actual process conditions.
  • Structured root cause investigation.
  • Using process maps and cause analysis to investigate variation.
  • Evaluating the effectiveness of corrective actions.
  • Avoiding inappropriate reactions to common-cause variation.
  • Updating control limits following justified process changes.
  • Practical Application: Investigate an out-of-control process, identify probable causes, and develop evidence-based corrective actions.
Day 4

Process Capability & Performance Analysis

  • Relationship between process stability and capability.
  • Specification limits versus statistical control limits.
  • Process capability concepts and indices.
  • Interpretation of capability and performance measures.
  • Identifying capable, marginal, and incapable processes.
  • Analysing process centering and spread.
  • Evaluating capability for critical quality characteristics.
  • Connecting capability results with improvement priorities.
  • Limitations and common mistakes in capability analysis.
  • Practical Application: Evaluate the capability of a selected process and identify the highest-priority improvement opportunities.
Day 5

SPC Implementation, Integration & Continuous Improvement

  • Designing an effective SPC implementation framework.
  • Selecting critical processes and quality characteristics.
  • Establishing monitoring responsibilities and escalation criteria.
  • Integrating SPC with quality management and process improvement.
  • Linking SPC findings with root cause analysis and corrective action.
  • Using SPC data to support continuous improvement decisions.
  • Developing process performance dashboards and reporting methods.
  • Maintaining control chart effectiveness over time.
  • Reviewing SPC systems and identifying improvement opportunities.
  • Final Workshop: Develop an integrated SPC monitoring plan for a selected process, including data requirements, control chart selection, interpretation rules, escalation actions, and continuous improvement priorities.

Upcoming Dates

Selected date

Dubai · 30 May – 3 Jun 2027 · Classroom

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CairoScheduled
2 – 6 Nov 2026€3,300—
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CasablancaScheduled
9 – 13 Nov 2026€4,300—
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DammamScheduled
16 – 20 Nov 2026€4,200—
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AccraScheduled
16 – 20 Nov 2026€5,100—
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DohaScheduled
23 – 27 Nov 2026€4,400—
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DubaiScheduled
29 Nov – 3 Dec 2026€4,400€3,960until 9 Nov
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FrankfurtScheduled
30 Nov – 4 Dec 2026€5,800€5,220until 9 Nov
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AmmanScheduled
6 – 10 Dec 2026€3,100€2,790until 16 Nov
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GenevaScheduled
7 – 11 Dec 2026€6,300€5,670until 16 Nov
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IstanbulScheduled
14 – 18 Dec 2026€4,700€4,230until 23 Nov
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Kuala LumpurScheduled
21 – 25 Dec 2026€4,400€3,960until 30 Nov
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LisbonScheduled
28 Dec 2026 – 1 Jan 2027€5,400€4,860until 7 Dec
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AmsterdamScheduled
28 Dec 2026 – 1 Jan 2027€5,400€4,860until 7 Dec
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LondonScheduled
4 – 8 Jan 2027€5,600€5,040until 14 Dec
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11 – 15 Jan 2027€4,200€3,780until 21 Dec
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18 – 22 Jan 2027€4,200€3,780until 28 Dec
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18 – 22 Jan 2027€4,800€4,320until 28 Dec
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ManamaScheduled
25 – 29 Jan 2027€4,700€4,230until 4 Jan
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MarbellaScheduled
1 – 5 Feb 2027€5,400€4,860until 11 Jan
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MarrakeshScheduled
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MilanScheduled
15 – 19 Feb 2027€6,000€5,400until 25 Jan
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MunichScheduled
22 – 26 Feb 2027€5,400€4,860until 1 Feb
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1 – 5 Mar 2027€5,300€4,770until 8 Feb
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1 – 5 Mar 2027€5,400€4,860until 8 Feb
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OnlineScheduled
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ParisScheduled
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15 – 19 Mar 2027€4,200€3,780until 22 Feb
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21 – 25 Mar 2027€4,000€3,600until 1 Mar
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DubaiScheduled
30 May – 3 Jun 2027€4,400€3,960until 10 May
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