STATISTICAL PROCESS CONTROL (SPC)

Quality Tools & Techniques

Introduction

This interactive course will enable the participants to:

  • Understand the principle and concept of SPC, and correctly apply this methodology for use in their own working environment.
  • Apply a structural approach to any improvements and problem solving processes and formalises the mental discipline during these processes.
  • Outlines the SPC philosophy, implementation strategies, tools and techniques and describes the provisions for implementing an SPC system in the manufacturing industry.

Duration

2 days | 9am – 5pm | 14 hours

Who Should Attend

Anyone involved in maintenance, marketing, design, and process control and improvement activities and also particularly for individual that is responsible for planning, developing or managing a quality system to satisfy the ISO 9001 or IATF 16949 quality system requirements.

Course Fees

Member: S$444.05
Non-Member: S$465.45

Registration Fee of S$17.12 apply.
SDF funding & SkillsFuture applicable
All fees stated are inclusive of 7% GST

Award of Certificate

Certificate of Completion will be issued to participants who have attended at least 75% of the course.

Course Content

Total Training Hours: 14 hours
  • CHAPTER 1: FUNDAMENTALS OF STATISTICAL THINKING  0/3

    • Lecture1.1
      The role of statistics in quality improvement
    • Lecture1.2
      Core fundamentals of statistical thinking • Binomial distribution • Poison distribution • Normal distribution
    • Lecture1.3
      Data based decision – making • Data type (variable and attribute) • Stratification in data analysis • Population Vs Samples
  • CHAPTER 2: DATA TO INFORMATION  0/5

    • Lecture2.1
      How to collect data
    • Lecture2.2
      Check Sheet
    • Lecture2.3
      Central tendency and dispersion
    • Lecture2.4
      Measure of variability (Range & Sigma calculations)
    • Lecture2.5
      Applications
  • CHAPTER 3: PROCESS CONTROL CHARTS  0/6

    • Lecture3.1
      Process Variations Concepts
    • Lecture3.2
      Control chart for variables (X bar – R Chart)
    • Lecture3.3
      Control chart for attributes (p chart, np chart, c chart, u chart)
    • Lecture3.4
      Cases of Variation (Common & Special)
    • Lecture3.5
      Trends and Patters interpretation of Control Charts
    • Lecture3.6
      Application of Control Charts
  • CHAPTER 4: PROCESS CAPABILITY  0/4

    • Lecture4.1
      What is process capability analysis
    • Lecture4.2
      Definition of CP (Capability Ration)
    • Lecture4.3
      Definition & Interpretation of CPK
    • Lecture4.4
      Applications of process Capability

Trainer

Avatar
SQI
SPC