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Quest Training

Quality Control in Manufacturing Operations Training Course

Covers quality control across manufacturing, from incoming material inspection and in-process monitoring to final product checks that cut defects and rework.

QC · Quality Control & Quality AssuranceAll Levels#2859ClassroomEnglish , 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

Quality control is essential to maintaining product consistency, reducing manufacturing defects, and ensuring that production outputs meet technical specifications and customer requirements. Effective quality control practices enable manufacturers to detect deviations early, minimize waste and rework, improve process reliability, and maintain compliance with applicable quality standards. This course explores the practical methods used to control quality throughout manufacturing operations, from incoming material inspection and in-process monitoring to final product verification. Participants examine sampling and inspection techniques, statistical process control (SPC), process capability analysis, measurement systems, defect classification, and non-conformance management. The programme also addresses the use of quality data to identify recurring problems and evaluate production performance. Through practical exercises and manufacturing case studies, participants develop the skills required to interpret inspection results, investigate defects, apply corrective actions, and establish effective quality checkpoints across production processes. The course supports a proactive approach to quality control that improves operational efficiency, strengthens product reliability, and contributes to continuous manufacturing improvement.

Learning Objectives

  • Apply quality control principles across manufacturing processes and production stages.
  • Develop inspection and testing procedures based on product specifications and process requirements.
  • Implement statistical process control techniques to monitor process variation.
  • Interpret quality data, control charts, and process capability indicators.
  • Identify manufacturing defects and assess their impact on product conformity.
  • Apply appropriate sampling methods and acceptance criteria.
  • Evaluate measurement systems and verify the reliability of inspection results.
  • Investigate recurring quality problems using structured root cause analysis.
  • Implement corrective actions and monitor their effectiveness.
  • Establish quality performance indicators to support continuous improvement.

Who Should Attend

Quality control engineers, inspectors, and technicians. Manufacturing and production engineers. Production supervisors and operations managers. Process engineers and industrial engineers. Inspection, testing, and laboratory personnel. Maintenance and reliability professionals involved in production quality. Continuous improvement and operational excellence specialists. Professionals responsible for product conformity, process monitoring, and manufacturing performance.

Learning Outcomes

  • Explain the role of quality control in achieving manufacturing and customer requirements.
  • Establish quality checkpoints for incoming materials, production processes, and finished products.
  • Apply inspection, testing, and sampling methods appropriate to manufacturing operations.
  • Construct and interpret statistical process control charts.
  • Evaluate process stability and capability using relevant performance indicators.
  • Analyze defect patterns and identify sources of process variation.
  • Assess measurement system reliability and inspection accuracy.
  • Document non-conformities and determine appropriate containment measures.
  • Conduct root cause analysis and recommend corrective actions.
  • Monitor quality performance and use data to support continuous improvement.

Course Outline

Day 1

Manufacturing Quality Control Fundamentals

  • Principles of quality control and quality assurance in manufacturing.
  • Quality requirements, product specifications, and acceptance criteria.
  • Quality control responsibilities across production and inspection teams.
  • Incoming material inspection and supplier quality verification.
  • In-process inspection and final product verification.
  • Inspection plans, checklists, and quality control documentation.
  • Common manufacturing defects and their impact on product performance.
  • Practical Exercise: Develop a quality control checklist for a manufacturing process, covering incoming materials, critical production stages, and final inspection requirements.
Day 2

Inspection Methods, Sampling, and Measurement Systems

  • Visual, dimensional, functional, and performance inspection methods.
  • Selection and use of inspection and measurement equipment.
  • Calibration, measurement traceability, and equipment verification.
  • Sampling plans, sample selection, and acceptance criteria.
  • Acceptance sampling principles and interpretation of inspection results.
  • Measurement accuracy, precision, repeatability, and reproducibility.
  • Recording inspection results and maintaining traceable quality records.
  • Practical Exercise: Evaluate a sample inspection dataset, apply defined acceptance criteria, and determine whether the product batch should be accepted, rejected, or subjected to further inspection.
Day 3

Statistical Process Control and Process Capability

  • Fundamentals of statistical process control (SPC).
  • Understanding process variation and its common and special causes.
  • Selecting and interpreting control charts for manufacturing data.
  • Monitoring production trends and identifying abnormal process behavior.
  • Process capability analysis using Cp, Cpk, Pp, and Ppk.
  • Distinguishing process stability from process capability.
  • Establishing reaction plans for out-of-control conditions.
  • Practical Exercise: Analyze a manufacturing dataset, interpret control chart signals, calculate process capability indicators, and recommend appropriate process adjustments.
Day 4

Defect Analysis and Non-Conformance Management

  • Defect identification, classification, and severity assessment.
  • Non-conformance reporting and product containment procedures.
  • Root cause analysis using the 5 Whys and fishbone diagram.
  • Failure Mode and Effects Analysis (FMEA) for manufacturing risks.
  • Corrective and preventive action principles.
  • Rework, repair, rejection, and disposition of non-conforming products.
  • Verification of corrective action effectiveness and prevention of recurrence.
  • Practical Exercise: Investigate a recurring manufacturing defect, identify its probable root causes, and prepare a corrective action plan with verification criteria.
Day 5

Quality Performance, Auditing, and Continuous Improvement

  • Manufacturing quality performance indicators and defect metrics.
  • Analysis of scrap, rework, rejection rates, and cost of poor quality.
  • Quality audits and verification of production control procedures.
  • Standardization of inspection methods and quality documentation.
  • Integrating quality control with lean manufacturing and waste reduction.
  • Using quality data to prioritize improvement opportunities.
  • Developing monitoring plans and sustaining corrective improvements.
  • Practical Exercise: Review a manufacturing quality performance report, identify the main sources of quality loss, and develop a prioritized improvement plan with measurable performance targets.

Upcoming Dates

Selected date

Amman · 14 – 18 Mar 2027 · Classroom

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