Response Surfaces, Mixtures, and Model Building

This course is part of the Design of Experiments Specialization

4.7
stars
40 ratings

Douglas C. Montgomery

1,892 already enrolled

Offered By

Design of Experiments SpecializationArizona State University

About this Course

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Factorial experiments are often used in factor screening.; that is, identify the subset of factors in a process or system that are of primary important to the response. Once the set of important factors are identified interest then usually turns to optimization; that is, what levels of the important factors produce the best values of the response.  This course provides design and optimization tools to answer that questions using the response surface framework.  Other related topics include design and analysis of computer experiments, experiments with mixtures, and experimental strategies to reduce the effect of uncontrollable factors on unwanted variability in the response.

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Course 3 of 4 in the

Design of Experiments Specialization

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Intermediate Level

Approx. 13 hours to complete

English

Subtitles: French, Portuguese (European), Russian, English, Spanish

What you will learn

Conduct experiments w/computer models and understand how least squares regression is used to build an empirical model from experimental design data

Understand the response surface methodology strategy to conduct experiments where system optimization is the objective

Recognize how the response surface approach can be used for experiments where the factors are the components of a mixture

Recognize where the objective of the experiment is to minimize the variability transmitted into the response from uncontrollable factors

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 3 of 4 in the

Design of Experiments Specialization

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 13 hours to complete

English

Subtitles: French, Portuguese (European), Russian, English, Spanish

Instructor

Instructor rating

4.5/5 (11 Ratings)

Douglas C. Montgomery

Regents’ Professor of Engineering, ASU Foundation Professor of Engineering

School of Computing, Informatics, and Decision Systems Engineering

8,419 Learners

4 Courses

Offered by

Arizona State University

Arizona State University has developed a new model for the American Research University, creating an institution that is committed to excellence, access and impact. ASU measures itself by those it includes, not by those it excludes. ASU pursues research that contributes to the public good, and ASU assumes major responsibility for the economic, social and cultural vitality of the communities that surround it.

Syllabus - What you will learn from this course

Week

Week 1

5 hours to complete

Unit 1: Additional Design and Analysis Topics for Factorial and Fractional Factorial Designs

5 hours to complete

12 videos (Total 125 min), 4 readings, 3 quizzes

12 videos

Instructor Introduction3m

Course Introduction 4m

More About Factorial and Fractional Factorial Designs15m

The 3^3 Design11m

The 3^k Factorial Design13m

Confounding17m

Fractional Replication of the 3^k Factorial Design11m

Factorials with Mixed Levels6m

Nonregular Fractional Factorial Designs14m

Use of an Optimal Design Tool17m

Syrup Loss Example4m

Unusual Blocking Example4m

4 readings

Course Description10m

Course Textbook and Resources10m

Best Practices in Online Learning (or How to Succeed in This Class)10m

Unit 1: Introduction10m

2 practice exercises

Unit 1: Concept Questions30m

Exercise 130m

Week

Week 2

2 hours to complete

Unit 2: Regression Models

2 hours to complete

7 videos (Total 98 min), 1 reading, 2 quizzes

Week

Week 3

4 hours to complete

Unit 3: Response Surface Methods and Designs

4 hours to complete

14 videos (Total 178 min), 1 reading, 2 quizzes

14 videos

Response Surface Methodology7m

The Method of Steepest Ascent15m

Second-Order Models in RSM11m

Ridge Systems11m

Multiple Responses14m

Experimental Designs for Fitting Response Surfaces18m

Blocking in a Second-Order Design15m

The Adhesive Pull-Off Force Experiment9m

General Structure of a Definitive Screening Design with m Factors9m

Experiments with Computer Models16m

Mixture Experiments15m

Constraints10m

Chemical Process Example13m

Paint Formulation Example7m

1 reading

Unit 3: Introduction10m

2 practice exercises

Unit 3: Concept Questions30m

Exercise 330m

Week

Week 4

2 hours to complete

Unit 4: Robust Parameter Design and Process Robustness Studies

2 hours to complete

4 videos (Total 39 min), 1 reading, 2 quizzes

Reviews

4.7

12 reviews

5 stars
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4 stars
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3 stars
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2 stars
2.50%

TOP REVIEWS FROM RESPONSE SURFACES, MIXTURES, AND MODEL BUILDING

by RRJul 25, 2020

It was a great experience for me to do the RSM model building an online course. I learned experimental designs for fitting response surfaces.

View all reviews

About the Design of Experiments Specialization

Learn modern experimental strategy, including factorial and fractional factorial experimental designs, designs for screening many factors, designs for optimization experiments, and designs for complex experiments such as those with hard-to-change factors and unusual responses. There is thorough coverage of modern data analysis techniques for experimental design, including software. Applications include electronics and semiconductors, automotive and aerospace, chemical and process industries, pharmaceutical and bio-pharm, medical devices, and many others.

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What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
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Response Surfaces, Mixtures, and Model Building