GarnetGlobal Training Center العربية

Quality, Excellence & Customer Service

Statistical Process Control

الضبط الإحصائي للعمليات

Download brochure (PDF) البروشور بالعربية PDF

Code
GGT-QE-109
Duration
5 or 10 days
Language
English or Arabic
Sessions 2027–2030
20 / 8 cities

Overview

Statistical Process Control is part of the Quality, Excellence & Customer Service track at Garnet Global Training Center. Systems and methods that make performance consistent, measurable and better every year. The course is taught in English or Arabic as a 5-day or 10-day program, in classrooms in cities such as Dubai, Riyadh, Cairo, London and Istanbul, or live online, and it can be delivered in-house with examples and exercises built around your own operations.

What you will be able to do

  • Explain the principles, terminology and standards that govern Statistical Process Control.
  • Apply proven methods and tools to real situations from your own workplace.
  • Analyse performance gaps, risks and root causes, and choose the right response.
  • Measure results with practical indicators and report them clearly to management.
  • Leave with a personal action plan you can start using the following week.

Who should attend

Quality and excellence teams, process owners, auditors and customer service leaders.

Key topics

  • Process mapping and standard work
  • Measurement and statistical tools
  • Audit planning and reporting
  • Customer journey and feedback
  • Excellence models and self-assessment
  • Sustaining improvement

5-day outline

  1. Day 1 Foundations of Statistical Process Control

    • Scope, terminology and governing standards
    • Process mapping and standard work
  2. Day 2 Methods and tools

    • Measurement and statistical tools
    • Audit planning and reporting
  3. Day 3 Application and case studies

    • Customer journey and feedback
    • Sustaining improvement
  4. Day 4 Performance, risk and compliance

    • Excellence models and self-assessment
    • Measurement and reporting
  5. Day 5 Workshop, assessment and action plan

    • Hands-on workshop on a workplace challenge
    • Final assessment and personal action plan

10-day outline

  1. Day 1 Foundations of Statistical Process Control

    • Scope, terminology and governing standards
    • Process mapping and standard work
  2. Day 2 Methods and tools

    • Measurement and statistical tools
    • Audit planning and reporting
  3. Day 3 Application and case studies

    • Customer journey and feedback
    • Sustaining improvement
  4. Day 4 Performance, risk and compliance

    • Excellence models and self-assessment
    • Measurement and reporting
  5. Day 5 Workshop, assessment and action plan

    • Hands-on workshop on a workplace challenge
    • Final assessment and personal action plan
  6. Day 6 Advanced techniques and specialist practice

    • Complex cases in depth
    • Common mistakes and how to avoid them
  7. Day 7 Digital tools, data and automation

    • Analysis tools and software
    • Using AI in this field
  8. Day 8 Benchmarking against international practice

    • Global performance benchmarks
    • International case studies
  9. Day 9 Capstone project

    • Analyse a real challenge from your organisation
    • Build the solution and implementation plan
  10. Day 10 Presentations, final assessment and certificates

    • Project presentations and review
    • Final exam and certificate award

Certificate

Participants who attend at least 90% of sessions and complete the final assessment receive a certificate of completion stating 35 contact hours (5-day) or 70 contact hours (10-day).

Schedule 2027–2030

DatesFormatCityLanguageFee (USD)Register
4–15 Jan 202710-day onlineLive onlineArabic5,450Register
14–25 Mar 202710-day classroomCairoEnglish8,950Register
9–13 May 20275-day classroomRiyadhArabic4,750Register
20–24 Sep 20275-day onlineLive onlineEnglish2,950Register
5–9 Dec 20275-day classroomDohaEnglish4,750Register
10–14 Jan 20285-day classroomAbu DhabiEnglish4,750Register
1–12 May 202810-day onlineLive onlineEnglish5,450Register
3–7 Jul 20285-day onlineLive onlineEnglish2,950Register
18–29 Sep 202810-day classroomViennaEnglish8,950Register
3–7 Dec 20285-day classroomManamaArabic4,750Register
8–19 Jan 202910-day onlineLive onlineArabic5,450Register
4–15 Feb 202910-day classroomRiyadhEnglish8,950Register
2–6 Jul 20295-day onlineLive onlineEnglish2,950Register
15–19 Oct 20295-day classroomLondonEnglish4,750Register
5–9 Nov 20295-day classroomViennaEnglish4,750Register
18–22 Feb 20305-day onlineLive onlineEnglish2,950Register
17–28 Mar 203010-day classroomKuwait CityArabic8,950Register
17–28 Jun 203010-day onlineLive onlineEnglish5,450Register
12–16 Aug 20305-day classroomAbu DhabiEnglish4,750Register
4–8 Nov 20305-day classroomLondonEnglish4,750Register

Cities for this course

It can also be delivered in-house in any other city. Request in-house

Frequently asked questions

How long is the Statistical Process Control course?

It runs as a 5-day program (35 contact hours) or a 10-day program (70 contact hours) that adds advanced techniques and a capstone project.

Where and when is Statistical Process Control held?

There are 20 public sessions from 2027 to 2030 in cities including Cairo, Riyadh, Doha, Abu Dhabi, Vienna, Manama, plus live online. Next dates: 4–15 Jan 2027 (Live online); 14–25 Mar 2027 (Cairo); 9–13 May 2027 (Riyadh).

How much does the Statistical Process Control course cost?

USD 4,750 for 5 days in a classroom, USD 2,950 for 5 days online, USD 8,950 for 10 days in a classroom and USD 5,450 for 10 days online, per participant excluding VAT.

Is the course available in Arabic and online?

Yes. It is taught in English or Arabic, in a classroom or live online, and materials can be provided in both languages.

Can we run it in-house or customise it?

Yes. We deliver it at your premises in any city and adapt duration, content and examples to your operations.

Do participants receive a certificate?

Yes. Participants who attend at least 90% of sessions and pass the final assessment receive a certificate of completion stating contact hours.