Features
- Presents the methodology of experimental design and response surface analysis as an efficient and indispensable tool for the development and optimization of processes and products
- Describes the benefits of the sequential strategy of factorial designs and the evolution of its use in recent decades
- Employs real-world case studies to illustrate the use of sequential strategy in experimental design as well as aspects of experimental validation in the response surface analysis
- Demonstrates the advantages of using the experimental design method versus investigating a single variable at a time
- Explores the use of the screening design methodology developed by Plackett and Burman as either an alternative to preliminary selection or to solve industrial cases by analyzing the effects of each variable
Summary
Experimental Design and Process Optimization delves deep into the design of experiments (DOE). The book includes Central Composite Rotational Design (CCRD), fractional factorial, and Plackett and Burman designs as a means to solve challenges in research and development as well as a tool for the improvement of the processes already implemented. Appropriate strategies for 2 to 32 factors are covered in detail in the book.
The book covers the essentials of statistical science to assist readers in understanding and applying the concepts presented. It also presents numerous examples of applications using this methodology. The authors are not only experts in the field but also have significant practical experience. This allows them to discuss the application of the theoretical aspects discussed through various real-world case studies.