Operational Quality Masterclass:
Core Tools Integration with Real Production Data

Build the capability to apply APQP, SPC, MSA, and PPAP in a connected workflow that strengthens process control, reduces quality risk, and supports audit and customer submission readiness using real production data.

*This course is HRD Corp (HRDC / HRDF) claimable.

Course Overview

Prerequisite

Participants should have a basic understanding of manufacturing processes and familiarity with measurement instruments such as callipers or micrometers. Prior exposure to ISO 9001 or IATF 16949 is helpful but not mandatory.

Duration

Length: 4 Days
Time: 9:00 am to 5:00 pm

Location

Level 7, Austin 18, Jalan Austin Perdana 3, Taman Austin Perdana, 81100 Johor Bahru, Johor Darul Ta’zim

Who it is for and why it matters

Why take this course

Build practical capability to apply APQP, SPC, MSA, and PPAP as one integrated system using real production data, so you can strengthen process control, reduce quality risks, and improve audit readiness.

Who should attend

Suitable for professionals responsible for APQP, SPC, MSA, or PPAP deliverables, including QA/QC, Quality Engineers, Process or Manufacturing Engineers, Production Supervisors, Technicians, and internal auditors

GD&T Certified Trainer

Certified Head Trainer

Dr. Yong WK, PhD, MBA
A senior manufacturing professional with over 30 years of industry experience
  • Leadership roles in Production, QA, Engineering, and R&D
  • Hands on experience across plastic injection, sheet metal, automotive, and precision machining
  • Strong Quality Management Systems background with ISO and IATF certifications, plus internal audit experience
  • HRD Corp certified trainer with a track record of delivering practical, industry relevant programs

What you will learn

Download the course outline to review the learning modules, practical activities, and key deliverables covered in this programme. The training includes instructor-led sessions, hands-on exercises, and live production-floor practical using real production data.

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