
Manufacturing Engineering
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Assembling Critical Components
Assembling Critical Components examines the necessity for technical and professional communication to consider the identity of the field rather than its definition. In shifting to an assembled identity made of component parts, the book illustrates that at any given time or in different contexts a different component can be used to argue for or to produce technical and professional communication.
Network Models for Data Science
This text provides an exciting array of analysis tools, including probability models, graph theory, and computational algorithms, exposing students to ways of thinking about types of data that are different from typical statistical data. Concepts are demonstrated in the context of real applications, such as relationships between financial institutions, between genes or proteins, between neurons in the brain, and between terrorist groups.
The ASQ certified quality process analyst handbook
This handbook is designed as a reference for ASQ's Certified Quality Process Analyst Body of Knowledge (BoK), providing the basic information needed to prepare for the CQPA examination. It has been revised and expanded to match the 2021 BoK. The book and certification are aimed at the paraprofessional who, in support of and under the direction of quality engineers or supervisors, analyzes and solves quality problems and is involved in quality improvement projects. This book is perfect for both recent graduates and those with work experience who want to expand their knowledge of quality tools and processes.
Statistical methods for reliability data
This book improves Meeker and Escobar (1998, Wiley) not only in terms of organization and presentation, but also in extensions and modifications to the technical material. It presents state-of-the-art, computer-based statistical methods for reliability data analysis and for test planning of industrial products. It also improves long time established techniques as it demonstrates how to apply the new graphical, numerical, or simulation-based methods to a broad range of models encountered in reliability data analysis.