Embrace a comprehensive exploration into the dynamic realm of Design of Experiment (DOE) and its pivotal role in process improvement. Our course meticulously unveils the theory, methodology, and practical application of DOE, ensuring participants are well-versed with the principles, applications, and the inherent limitations of various statistical techniques involved. With expert insights and real-world examples, attendees will grasp the essentials of designing experiments aimed at refining processes, and then move on to the crucial tasks of analyzing and interpreting the results, all while having a firm foundation to develop plans that optimize processes to their fullest potential.

Furthermore, the course offers a thorough examination of the experimentation process, complemented by a brief yet insightful introduction to the utility of statistical software in data analysis. This holistic approach ensures that learners are equipped with the necessary tools and knowledge to validate and champion the DOE methodology in real-world scenarios. At Tertiary Courses, we believe in empowering our attendees to spearhead innovation and ensure their business processes are not just efficient, but exemplary.

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Funding and Grant

HRD Corp Claimable Course for Employers Registered with HRD Corp

Course Code: M968

Topic 1 Introduction to Design of Experiment

• What is Design of Experiment (DoE)?

• DoE vs OFAT Experiments

• Comparative Experiments

• Basic Principles of DoE

• Terminology of DOE

• Types of DoE

Topic 2 Factorial Experiments

• What is Factorial Experiments

• Two Level Factorial Design

• Blocking and Replication

• Analysis Factorial Experiments

• Fractional Factorial Experiments

• Confounding Effects and Resolution Types

• Available Two Level Factorial Designs

• Factorial Design with Center Points

Topic 3 Response Surface Method

• What is Response Surface Method (RSM)?

• Central Composite Design (CCD)

• CCD Analysis

Topic 4 Mixture and Taguchi Designs

• What is Mixture Design?

• Components

• Simplex Centroid Design

• What is Taguchi Design?

• Signal and Noise Factors

• Catalogue of Taguchi Designs

• Optimisation of Taguchi Designs