Statistical and Computational Techniques in Manufacturing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical and Computational Techniques in Manufacturing write by J. Paulo Davim. This book was released on 2012-03-06. Statistical and Computational Techniques in Manufacturing available in PDF, EPUB and Kindle. In recent years, interest in developing statistical and computational techniques for applied manufacturing engineering has been increased. Today, due to the great complexity of manufacturing engineering and the high number of parameters used, conventional approaches are no longer sufficient. Therefore, in manufacturing, statistical and computational techniques have achieved several applications, namely, modelling and simulation manufacturing processes, optimization manufacturing parameters, monitoring and control, computer-aided process planning, etc. The present book aims to provide recent information on statistical and computational techniques applied in manufacturing engineering. The content is suitable for final undergraduate engineering courses or as a subject on manufacturing at the postgraduate level. This book serves as a useful reference for academics, statistical and computational science researchers, mechanical, manufacturing and industrial engineers, and professionals in industries related to manufacturing engineering.
Computational Methods for Application in Industry 4.0
Computational Methods for Application in Industry 4.0 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computational Methods for Application in Industry 4.0 write by Nikolaos E. Karkalos. This book was released on 2018-05-21. Computational Methods for Application in Industry 4.0 available in PDF, EPUB and Kindle. This book presents computational and statistical methods used by intelligent systems within the concept of Industry 4.0. The methods include among others evolution-based and swarm intelligence-based methods. Each method is explained in its fundamental aspects, while some notable bibliography is provided for further reading. This book describes each methods' principles and compares them. It is intended for researchers who are new in computational and statistical methods but also to experienced users.
Data Analytics, Computational Statistics, and Operations Research for Engineers
Data Analytics, Computational Statistics, and Operations Research for Engineers - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Analytics, Computational Statistics, and Operations Research for Engineers write by Debabrata Samanta. This book was released on 2022-03-24. Data Analytics, Computational Statistics, and Operations Research for Engineers available in PDF, EPUB and Kindle. With the rapidly advancing fields of Data Analytics and Computational Statistics, it’s important to keep up with current trends, methodologies, and applications. This book investigates the role of data mining in computational statistics for machine learning. It offers applications that can be used in various domains and examines the role of transformation functions in optimizing problem statements. Data Analytics, Computational Statistics, and Operations Research for Engineers: Methodologies and Applications presents applications of computationally intensive methods, inference techniques, and survival analysis models. It discusses how data mining extracts information and how machine learning improves the computational model based on the new information. Those interested in this reference work will include students, professionals, and researchers working in the areas of data mining, computational statistics, operations research, and machine learning.
Computational Methods for Optimizing Manufacturing Technology: Models and Techniques
Computational Methods for Optimizing Manufacturing Technology: Models and Techniques - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computational Methods for Optimizing Manufacturing Technology: Models and Techniques write by Davim, J. Paulo. This book was released on 2012-02-29. Computational Methods for Optimizing Manufacturing Technology: Models and Techniques available in PDF, EPUB and Kindle. "This book contains the latest research developments in manufacturing technology and its optimization, and demonstrates the fundamentals of new computational approaches and the range of their potential application"--Provided by publisher.
Computational Methods for Reliability and Risk Analysis
Computational Methods for Reliability and Risk Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computational Methods for Reliability and Risk Analysis write by Enrico Zio. This book was released on 2009. Computational Methods for Reliability and Risk Analysis available in PDF, EPUB and Kindle. This book illustrates a number of modelling and computational techniques for addressing relevant issues in reliability and risk analysis. In particular, it provides: i) a basic illustration of some methods used in reliability and risk analysis for modelling the stochastic failure and repair behaviour of systems, e.g. the Markov and Monte Carlo simulation methods; ii) an introduction to Genetic Algorithms, tailored to their application for RAMS (Reliability, Availability, Maintainability and Safety) optimization; iii) an introduction to key issues of system reliability and risk analysis, like dependent failures and importance measures; and iv) a presentation of the issue of uncertainty and of the techniques of sensitivity and uncertainty analysis used in support of reliability and risk analysis.The book provides a technical basis for senior undergraduate or graduate courses and a reference for researchers and practitioners in the field of reliability and risk analysis. Several practical examples are included to demonstrate the application of the concepts and techniques in practice.
