Industrial Design of Experiments

Complete DoE, Types of Designs, OFAT, Plackett burman, Central Composite, Box-Behnken Designs, Surface Response Curve

This book offers a cutting-edge perspective of design for space to increase astronauts’ wellbeing and performance creating a more sustainable and inclusive environment, but without to forget beauty. The relevant aspect is that these design principles are now also supported and promoted by the European Community with the New European Bauhaus project. It is legitimate to affirm that Space Design is a precursor and inspiring these principles. Space exploration has shown us how results of space research inspire management policies addressing important earth issues such as the responsible use of resources as well as ethical behavior leading to sustainable and inclusive choices. The International Space Station (ISS) is the most successful virtuous example of circular economy and sustainability by almost totally recycling the waste produced. Recently the European Space Agency (ESA) launched the first call for “parastronauts” opening the fly possibilities to people with physical disabilities and thus affirming the principle of inclusion in space. Thanks to design—a bridge between science, technology, and beauty—space opens up to new creative experiments, placing the human being at the center of the interplanetary exploration programs to ensure extra-terrestrial habitats safer, more comfortable, and efficient, where crew will feel “like at home”.

How to Analyze Data and Design Statistical Experiments for Improved Analytical Decision Making

Fully revised and updated, this book combines a theoretical background with examples and references to R, MINITAB and JMP, enabling practitioners to find state-of-the-art material on both foundation and implementation tools to support their work. Topics addressed include computer-intensive data analysis, acceptance sampling, univariate and multivariate statistical process control, design of experiments, quality by design, and reliability using classical and Bayesian methods. The book can be used for workshops or courses on acceptance sampling, statistical process control, design of experiments, and reliability.