DESIGN OF EXPERIMENTS

Design of Experiments

Introduction

DOE has been used by statisticians in industry for more than fifty years. It is only recently that managers, engineers and scientists begin to explore these methods and find out the effectiveness in problem solving, design and development.

DOE will help to minimise the many variables that affect the yield of production in the industry. It permits many variables to be changed in a planned manner in order to come out with the most optimal values for such variable thereby saving time for production and cutting cost. It is no wonder that DOE is the most importance tools used in Six Sigma Black Belt Program.

Objectives

This course will enable the participants to:

  • provide means for tackling problems with long-term solutions.
  • improve quality of products through optimising the variables.
  • reduce material waste due to frequent rejects on the product resulting from quality problems.
  • increase productivity by reducing quality problems.
  • reduce the cost of production due to ability to detect quality problems faster.

Duration

2 days | 9am – 5pm | 14 hours

Who Should Attend

This course is suitable for technical professionals as well as chemical professionals such as managers, engineers, engineering assistants and chemists involved in design, development, production, manufacturing, quality, and maintenance of the product.

Entry Requirement

Participants should have basic knowledge of statistics.

Course Fees

Member Fee: $529.52
Non-Member Fee: $586.42

All fees stated are inclusive of Registration Fee and 9% 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
  • ANALYSIS AND CONTROL OF VARIABLES  0/6

    • Lecture1.1
    • Lecture1.2
    • Lecture1.3
    • Lecture1.4
    • Lecture1.5
    • Lecture1.6
  • PROCESS EVALUATION AND COMPARISON  0/3

    • Lecture2.1
    • Lecture2.2
    • Lecture2.3
  • MULTIFACTOR STUDIES  0/7

    • Lecture3.1
    • Lecture3.2
    • Lecture3.3
    • Lecture3.4
    • Lecture3.5
    • Lecture3.6
    • Lecture3.7
  • CASE STUDIES  0/0

Trainer

SQI
DOE