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Quest Training

Quality 4.0 & Digital Quality Management Training Course

Shows how digital technologies, connected data and automation can turn traditional quality systems into proactive Quality 4.0 management environments.

Q4DX · Quality 4.0 & Digital QualityAll Levels#2538ClassroomEnglish , 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 4.0 & Digital Quality

Course Overview

This advanced practical course develops the capabilities required to modernize quality management through digital technologies, data-driven decision-making, automation, and connected quality processes. It explores how Quality 4.0 can transform traditional quality systems into integrated, proactive, and continuously improving management environments. The program focuses on the practical application of digital technologies to quality management, including data analytics, artificial intelligence, automation, connected systems, real-time monitoring, digital workflows, and predictive quality. Participants examine how digital quality capabilities can improve process visibility, reduce defects, strengthen compliance, and support operational excellence. Through practical assessments and implementation workshops, participants will evaluate existing quality processes, identify digitalization opportunities, develop data-driven quality solutions, establish relevant performance indicators, and design a structured roadmap for implementing Quality 4.0 across operational and organizational processes.

Learning Objectives

  • Analyse the principles, components, and business value of Quality 4.0.
  • Evaluate traditional quality processes and identify opportunities for digital transformation.
  • Apply digital technologies to improve quality planning, assurance, control, and improvement.
  • Develop data-driven approaches to quality monitoring and decision-making.
  • Apply automation to repetitive quality management and control activities.
  • Use real-time data to identify quality deviations and emerging process risks.
  • Evaluate the role of artificial intelligence and advanced analytics in quality management.
  • Develop predictive approaches for defect prevention and process improvement.
  • Integrate digital quality processes across operations, production, supply chain, and support functions.
  • Establish meaningful quality performance indicators and digital dashboards.
  • Assess organizational readiness, technology requirements, and implementation risks.
  • Develop a practical Quality 4.0 transformation roadmap aligned with business priorities.

Who Should Attend

This course is designed for quality managers, quality engineers, quality assurance and quality control professionals, operational excellence specialists, continuous improvement professionals, process improvement teams, and professionals responsible for quality systems and performance. It is also suitable for operations managers, production managers, digital transformation leaders, data and analytics professionals, process owners, business improvement specialists, compliance professionals, and senior managers involved in quality and operational transformation initiatives. The program is particularly relevant to organizations seeking to digitize quality management, improve process visibility, reduce defects and waste, strengthen data-driven decision-making, and integrate quality with broader digital transformation and operational excellence programs.

Learning Outcomes

  • Explain the principles and organizational requirements of Quality 4.0.
  • Assess current quality processes and determine digital transformation opportunities.
  • Design digital workflows for quality assurance, control, and improvement.
  • Use quality data to support evidence-based operational decisions.
  • Apply automation to improve efficiency and consistency in quality processes.
  • Develop real-time monitoring approaches for critical quality indicators.
  • Evaluate applications of artificial intelligence and advanced analytics in quality.
  • Apply predictive quality techniques to support defect prevention.
  • Integrate quality data across operational and business processes.
  • Develop digital quality dashboards and performance indicators.
  • Assess Quality 4.0 readiness, implementation risks, and capability gaps.
  • Develop a practical roadmap for digital quality transformation and continuous improvement.

Course Outline

Day 1

Quality 4.0 Foundations & Digital Quality Transformation

  • Evolution of quality management toward Quality 4.0
  • Principles and dimensions of Quality 4.0
  • Digital transformation of quality functions
  • Traditional versus digital quality management
  • Quality culture and digital mindset
  • Connected quality processes
  • Data-driven quality management
  • Digital quality maturity
  • Organizational readiness and transformation barriers
  • Quality 4.0 business value and strategic alignment
  • Practical Application: Assessing the digital maturity of a quality management environment and identifying priority transformation opportunities
Day 2

Quality Data, Analytics & Real-Time Monitoring

  • Quality data sources and data structures
  • Data collection and integration
  • Data quality and information reliability
  • Statistical and analytical approaches to quality
  • Real-time quality monitoring
  • Process performance analysis
  • Quality trends and anomaly identification
  • Digital dashboards and visualization
  • Quality indicators and performance measurement
  • Data-driven root cause analysis
  • Practical Application: Developing a digital quality dashboard and analysing process data to identify emerging quality issues
Day 3

Automation, Artificial Intelligence & Predictive Quality

  • Automation opportunities in quality management
  • Digital workflows and automated controls
  • Intelligent quality inspection
  • Artificial intelligence applications in quality
  • Machine learning and quality analytics
  • Predictive quality concepts
  • Defect prediction and prevention
  • Automated anomaly detection
  • Intelligent decision support
  • Integrating predictive insights into quality processes
  • Practical Application: Designing a predictive quality model for identifying potential defects and process deviations
Day 4

Integrated Digital Quality Management & Operational Excellence

  • Integration of quality systems and operational processes
  • Digital quality assurance and control
  • Connected production and quality environments
  • Quality across supply chains and external partners
  • Digital nonconformance management
  • Corrective and preventive action workflows
  • Digital audits and compliance monitoring
  • Process improvement using quality data
  • Integration with operational excellence initiatives
  • Change management and workforce capabilities
  • Practical Application: Designing an integrated digital quality workflow from issue identification through corrective action and performance verification
Day 5

Quality 4.0 Governance, Implementation & Transformation Roadmap

  • Quality 4.0 governance and operating models
  • Digital quality standards, controls, and responsibilities
  • Technology selection and implementation considerations
  • Data governance and security
  • Quality 4.0 performance measurement
  • Digital maturity assessment
  • Business case and investment priorities
  • Implementation risks and mitigation
  • Transformation sequencing and change management
  • Continuous improvement and scalability
  • Final Workshop: Developing a complete Quality 4.0 transformation roadmap covering digital processes, data, analytics, automation, artificial intelligence, monitoring, governance, performance measurement, implementation priorities, and continuous improvement

Upcoming Dates

Selected date

Amman · 3 – 7 Jan 2027 · Classroom

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MilanScheduled
2 – 6 Nov 2026€6,000—
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SalalahScheduled
2 – 6 Nov 2026€5,300—
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MunichScheduled
9 – 13 Nov 2026€5,400—
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Sharm El-SheikhScheduled
16 – 20 Nov 2026€4,300—
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MuscatScheduled
16 – 20 Nov 2026€5,300—
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OnlineScheduled
22 – 26 Nov 2026€1,700€1,530until 2 Nov
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RabatScheduled
30 Nov – 4 Dec 2026€4,300€3,870until 9 Nov
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ParisScheduled
30 Nov – 4 Dec 2026€5,700€5,130until 9 Nov
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AbujaScheduled
7 – 11 Dec 2026€5,100€4,590until 16 Nov
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RiyadhScheduled
7 – 11 Dec 2026€4,200€3,780until 16 Nov
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SingaporeScheduled
14 – 18 Dec 2026€6,700€6,030until 23 Nov
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TunisiaScheduled
21 – 25 Dec 2026€3,800€3,420until 30 Nov
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ViennaScheduled
28 Dec 2026 – 1 Jan 2027€5,700€5,130until 7 Dec
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AccraScheduled
28 Dec 2026 – 1 Jan 2027€5,100€4,590until 7 Dec
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AmmanScheduled
3 – 7 Jan 2027€3,100€2,790until 14 Dec
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BakuScheduled
11 – 15 Jan 2027€4,800€4,320until 21 Dec
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AmsterdamScheduled
11 – 15 Jan 2027€5,400€4,860until 21 Dec
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BarcelonaScheduled
18 – 22 Jan 2027€5,400€4,860until 28 Dec
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BangkokScheduled
18 – 22 Jan 2027€6,100€5,490until 28 Dec
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CairoScheduled
25 – 29 Jan 2027€3,300€2,970until 4 Jan
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CasablancaScheduled
1 – 5 Feb 2027€4,300€3,870until 11 Jan
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BeirutScheduled
7 – 11 Feb 2027€4,000€3,600until 18 Jan
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DohaScheduled
8 – 12 Feb 2027€4,400€3,960until 18 Jan
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DubaiScheduled
14 – 18 Feb 2027€4,400€3,960until 25 Jan
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GenevaScheduled
22 – 26 Feb 2027€6,300€5,670until 1 Feb
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Cape TownScheduled
22 – 26 Feb 2027€5,100€4,590until 1 Feb
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Kuala LumpurScheduled
1 – 5 Mar 2027€4,400€3,960until 8 Feb
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IstanbulScheduled
1 – 5 Mar 2027€4,700€4,230until 8 Feb
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LisbonScheduled
8 – 12 Mar 2027€5,400€4,860until 15 Feb
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DammamScheduled
14 – 18 Mar 2027€4,200€3,780until 22 Feb
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Available in: Istanbul · Dubai · London · Riyadh · Doha · Amsterdam

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