
Learn design of experiments as a systematic problem-solving approach that identifies factors such as height, bungee position, pin elevation, and firing angle to optimize targets, save time, energy, and costs.
Understand how factors and levels shape the response in design of experiments, and learn about treatments, treatment combinations, and runs through practical cannon and brick examples.
Discover how design of experiments improves targeting, reduces costs, and maximizes outcomes by analyzing factor interactions, screening crucial factors, and proactively managing resources with Minitab.
Select between screening and optimization in design of experiments: screen 6–15 factors to identify those with the strongest effect, then optimize 2–5 factors to maximize the response.
Explore design of experiments and improvement tools through lean and quality management, guided by practical strategies to stay engaged, clarify confusions, and apply course concepts.
Explore factorial designs in design of experiments using Minitab: two-level factorial, full factorial, and screening with the Blacket Berman design to identify factors, with center points and replicates, and randomization.
Analyze a factorial design to assess how temperature and pressure affect hardness, using Minitab to evaluate p-values, interaction effects, and model fit with normal and half-normal plots.
Validate factorial design using four graphs to assess normality, outliers, and measurement issues. Read normal probability plots, residual box plots, and histogram to spot trends and ensure reliable experiment results.
Explore how main effects and interaction plots reveal how temperature and pressure influence the hardness of plastic, using Minitab to interpret slopes and parallel lines for non-significant interaction.
Explore how contour plots and surface plots visualize how temperature and pressure, among other factors, affect the response in DOE with Minitab, revealing optimal regions for maximum response.
Explore design of experiment in minitab, using factorial design and response optimizer to minimize or maximize harness by adjusting temperature and pressure, including reaching a target harness of 70 units.
Analyze the screening design with Minitab to identify factors affecting tablet hardness; size, density, and force are significant, with the model explaining 94% of variability.
Explore central composite design in design of experiments to model three continuous factors: sugar syrup percentage, liquidity, and a third liquid, and optimize viscosity with response surface methods in Minitab.
Analyze a central composite design with Minitab to optimize viscosity, examining how factors B and C and their concentrations influence the response.
*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!