Design of Experiment-DOE with Minitab for Product Design
4.1 (3 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
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Design of Experiment-DOE with Minitab for Product Design

Get resource ebook inside,design of Experiment for Product Design,Product & Quality Managers, Six Sigma Professionals
4.1 (3 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
27 students enrolled
Created by Gunjan Subedi
Last updated 7/2020
English
English [Auto]
Current price: $20.99 Original price: $29.99 Discount: 30% off
5 hours left at this price!
30-Day Money-Back Guarantee
This course includes
  • 1.5 hours on-demand video
  • 5 articles
  • 6 downloadable resources
  • 1 Practice Test
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • A guide of product design with the help of Minitab.
  • With a guiding ebook students learn many things in Design of Experiments with Minitab
  • Students learn many terms like Optimization, Interaction, Runs, Blocks, Center Points, Levels, Factors, Repetitions, Replications, etc
  • Practical Guide to simulated real world examples of Designing the Experiments with Minitab
Requirements
  • Enthusiasm to learn Minitab and Design of Experiments
Description

*This course comes with resource downloable ebook, preview lessons and 30 Day Money Back Guarantee !*

What is DOE?

There are many dependent and independent factors when it comes to designing a successful product, business process,  experiments or any successful projects. Design of experiment is a tool not only limited to develop optimal design to develop superior quality product or product design, experiment or product performance but also to reduce the infinite resources, costs, manpower and time in developing any product.  Design of Experiments (DOE) is the systematic process of problem solving by adjusting the factors correctly so that we can reach the particular target and make a wise utilization of our resources so that we save time, energy and costs of the experiment. DOE helps process and quality engineers or anyone to design and develop a robust experimental setup.

How can you use the course for your best educational and professional interests ?

1. You will learn how to screen different factors that are responsible for the success or a successful product design. When you are not sure which factors are more or less responsible for the final result, the Design of Experiments can be used as an effective screening tool.

2. You will learn various aspects that will help to reach your targets for your own profession. For example,

  • If you are a civil engineer, you may be concerned over the maintaining the optimal parameters for increasing the strength of the building or a bridge.

  • If you are a mechanical or a automobile engineer, you may be concerned over the optimum design criteria that will give the highest performance of the automobile.

  • If you are a chemist or a bio technologist, you may be concerned over maintaining the optimum environment in the factors that will produce the highest quality results.

  • If you are of any other profession the Design of Experiments will help you meet the targets of your business or profession.

3. It will help you learn how to minimize the cost of operation or product design.

4. It helps you to see which factors are most beneficial in your business or in your experiment.

5. You will learn how to get proactive to save time and cost of designing any process.

What can you learn from this course?

  • This course provides you with a practical guide to simulated real world examples of designing the experiments with Minitab.

  • We learn to examine the main effects of factors to identify the critical factors and read the result of the response. Students learn many terms like Optimization, Interaction, Runs, Blocks, Center Points, Levels, Factors, Repetitions, Replications, etc.

  • We also learn Optimizing the design and Main Effects Plot, Interaction plots, cube plots, contour and surface plots, and use the response optimizer to optimize the experimental factors for best possible results.

  • We also learn to operate and design full factorial design, fractional design and Taguchi design. Taguchi is a designed experiment that lets you choose a product or process that functions more consistently in the operating environment.

Who is this course for?

  • Beginners in Minitab and Design of Experiments

  • Six Sigma Green and Six Sigma Black Belt professionals

  • Product Managers, Quality Managers, Quality Engineers, Process Managers

Overall this course is a complete beginner’s packaging of the important tools used in Design of Experiments with minitab. Let this journey be your marker for your next big leap in your professional journey. I am all here to solve your queries so please do not forget to get your confusion addressed in the direct messages and question and answer sections.

What's the safety ?

There is a 30-day full money-back guarantee in this course in case you still have any confusion in enrolling in this course. So what are you waiting for? Enroll in the course now and we will be enjoying this course together. I will see you inside……

Thank you!


Who this course is for:
  • Beginners in Minitab and Design of Experiments
  • Six Sigma Green and Six Sigma Black Belt professionals
  • Product Managers, Quality Managers, Quality Engineers, Process Managers
Course content
Expand all 21 lectures 01:57:43
+ Introduction
7 lectures 30:04
Working with the attached Resource book for this course
00:24
Benefits of Design of Experiments
08:03
Message
03:39
Selecting between Screening and Optimization
03:22
Download the course zipped resources
00:35
+ Understanding DOE with Factorial Design
6 lectures 29:54
Factorial Design Introduction
08:02
Analyzing the factorial design
06:30
Validating the factorial design- 4 kinds of Graphs
04:04
Main Effects and Interaction Plots
04:03
Response and Contour Plots
03:22
Response Optimization
03:53
+ Taguchi Design
1 lecture 11:51
Taguchi Design with Minitab
11:51
+ Screening Design: Plackett-Burman
2 lectures 15:55
Screening Design: Plackett-Burman
08:56
Analyzing the screening design
06:59
+ Optimizing the Design of Experiments
3 lectures 17:51
Central Composite Design
12:37
Analyzing the central composite design
04:20
How to download certificate ?
00:54
+ Test Your Knowledge !
0 lectures 00:00

Please check your understanding with the following practice test. The questions are very general on Design of Experiment. I request you to go through the 'Resource Ebook- Terms used in DOE' before proceeding with this practice test. Best of luck !

Practice Test
10 questions