What you'll learn:
- Master the fundamentals of the Design of Experiments (DoE) using simple and understandable examples, ensuring a solid grasp of key concepts.
- Learn to design and analyze experiments systematically to study the relationship between various inputs (factors) and key outputs (responses).
- Perform screening using Plackett-Burman designs to identify significant factors with fewer experimental runs.
- Understand and implement modeling using full factorial, fractional factorial, and split plot designs to explore the effects of multiple factors.
- Optimize processes using Central Composite Design (CCD) for fine-tuning and achieving optimal performance.
- Gain a quick refresher on ANOVA and Regression Analysis to interpret the results of your experiments accurately and confidently.
- Develop a clear understanding of important DoE concepts such as blocking, analysis of covariance, replication, confounding, and design resolutions.
- Apply DoE techniques through practical examples, such as coffee tasting and catapult experiments, to reinforce learning and make complex concepts more relatable
- Increase your career prospects by mastering DoE, a critical component in quality improvement, process optimization, and research and development.
- Gain recognition from peers and management for your expertise in designing and analyzing experiments, making you a valuable asset in any organization.
Note: Students who complete this course can apply for the certification exam by Quality Gurus Inc. and achieve the Verified Certification from Quality Gurus Inc. It is optional, and there is no separate fee for it. Quality Gurus Inc. is the Authorized Training Partner (ATP # 6034) of the Project Management Institute (PMI®) and the official Recertification Partner of the Society for Human Resource Management (SHRM®)
The verified certification from Quality Gurus Inc. provides you with 5.0 pre-approved PMI PDUs and 5.0 SHRM PDCs at no additional cost to you.
This course is accredited by The CPD Group (UK). You are eligible to claim 5.0 CPDs for this course (Accreditation# 1016190)
The design of experiments is a systematic approach of studying the relationship between various inputs (factors) on the key output (response).
This is the basics to the intermediate level course. In this course, we start with a basic understanding of the Design of Experiments (DoE) process by performing manual calculations on simpler processes.
Because this course will be taken by students from various sectors, we have kept the case studies simpler by using examples such as coffee tasting and catapult. These simple examples will help students focus on the concepts rather than the specific case studies.
This course assumes that you do not have any prior knowledge of the Design of Experiments, but you do have a basic understanding of statistics principles, such as ANOVA and Regression. However, we will review these two topics (ANOVA and Regression) to provide adequate knowledge to interpret the DoE results.
The course consists of video lectures, readings, and quizzes that help build upon each other so that by the end of the course, you have gained a firm grasp of the topics covered.
Topics Covered:
Section 1. Basics of Design of Experiments: We will start this course by understanding the definitions of common terms used in DoE. You will clearly understand factorial and partial factorial designs, as these will be explained using a coffee-tasting example. In addition, we will also use the catapult experiment to understand the variation in processes.
Other concepts that are covered in this section include: Blocking, Analysis of Covariance, Replication, Confounding and Design Resolutions.
This section will set a strong foundation for you to understand foundational concepts.
Section 2. ANOVAand Regression: Even though you are expected to have some basic understanding of these concepts, we will still cover these two topics to provide you with sufficient knowledge to interpret the results of an experiment.
Section 3. Screening, Modelling and Optimizing: This section will cover three main milestones in any designed experiment. For screening, we will use Plackett-Burman Design to reduce the number of factors studied. In modelling, we will use full factorial, fractional factorial and Split Plot Designs (for hard-to-change factors). In the last, we will optimize the process, and for that, we will use Central Composite Design (CCD).
Continuous Professional Development (CPD) Units:
For the ASQ® Recertification Units (RUs), we suggest 0.50 RUs under the Professional Development > Continuing Education category.
For PMI® 5.0, preapproved PDUs can be provided after completing our optional/free certification exam. The detailed steps for taking Quality Gurus Inc. certification with preapproved PDUs are provided in the courses.
