Statistical And Computational Techniques In Manufacturing


Statistical And Computational Techniques In Manufacturing
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Statistical And Computational Techniques In Manufacturing


Statistical And Computational Techniques In Manufacturing
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Author : J. Paulo Davim
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-03-06

Statistical And Computational Techniques In Manufacturing written by J. Paulo Davim and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-06 with Technology & Engineering categories.


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
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Author : Nikolaos E. Karkalos
language : en
Publisher: Springer
Release Date : 2018-05-21

Computational Methods For Application In Industry 4 0 written by Nikolaos E. Karkalos and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-21 with Technology & Engineering categories.


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
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Author : Debabrata Samanta
language : en
Publisher: CRC Press
Release Date : 2022-04-05

Data Analytics Computational Statistics And Operations Research For Engineers written by Debabrata Samanta and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-05 with Technology & Engineering categories.


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 Reliability And Risk Analysis


Computational Methods For Reliability And Risk Analysis
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Author : Enrico Zio
language : en
Publisher: World Scientific
Release Date : 2009

Computational Methods For Reliability And Risk Analysis written by Enrico Zio and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Technology & Engineering categories.


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.



Computational Methods For Optimizing Manufacturing Technology Models And Techniques


Computational Methods For Optimizing Manufacturing Technology Models And Techniques
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Author : Davim, J. Paulo
language : en
Publisher: IGI Global
Release Date : 2012-02-29

Computational Methods For Optimizing Manufacturing Technology Models And Techniques written by Davim, J. Paulo and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-29 with Technology & Engineering categories.


"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.



Handbook Of Statistical Methods In Manufacturing


Handbook Of Statistical Methods In Manufacturing
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Author : Richard Barrett Clements
language : en
Publisher:
Release Date : 1991

Handbook Of Statistical Methods In Manufacturing written by Richard Barrett Clements and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Business & Economics categories.




Statistical Engineering


Statistical Engineering
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Author : Stefan H. Steiner
language : en
Publisher: Quality Press
Release Date : 2005-01-02

Statistical Engineering written by Stefan H. Steiner and has been published by Quality Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-01-02 with Business & Economics categories.


Reducing the variation in process outputs is a key part of process improvement. For mass produced components and assemblies, reducing variation can simultaneously reduce overall cost, improve function and increase customer satisfaction with the product. The authors have structured this book around an algorithm for reducing process variation that they call "Statistical Engineering." The algorithm is designed to solve chronic problems on existing high to medium volume manufacturing and assembly processes. The fundamental basis for the algorithm is the belief that we will discover cost effective changes to the process that will reduce variation if we increase our knowledge of how and why a process behaves as it does. A key way to increase process knowledge is to learn empirically, that is, to learn by observation and experimentation. The authors discuss in detail a framework for planning and analyzing empirical investigations, known by its acronym QPDAC (Question, Plan, Data, Analysis, Conclusion). They classify all effective ways to reduce variation into seven approaches. A unique aspect of the algorithm forces early consideration of the feasibility of each of the approaches. Also includes case studies, chapter exercises, chapter supplements, and six appendices. PRAISE FOR Statistical Engineering "I found this book uniquely refreshing. Don't let the title fool you. The methods described in this book are statistically sound but require very little statistics. If you have ever wanted to solve a problem with statistical certainty (without being a statistician) then this book is for you. - A reader in Dayton, OH "This is the most comprehensive treatment of variation reduction methods and insights I’ve ever seen."- Gary M. Hazard Tellabs "Throughout the text emphasis has been placed on teamwork, fixing the obvious before jumping to advanced studies, and cost of implementation. All this makes the manuscript !attractive for real-life application of complex techniques." - Guru Chadhabr Comcast IP Services COMMENTS FROM OTHER CUSTOMERS Average Customer Rating (5 of 5 based on 1 review) "This is NOT a typical book on statistical tools. It is a strategy book on how to search for cost-effective changes to reduce variation using empirical means (i.e. observation and experiment). The uniqueness of this book: Summarizes the seven ways to reduce variation so we know the goal of the data gathering and analysis, present analysis results using graphs instead of P-value, and integrates Taguchi, Shainin methods, and classical statistical approach. It is a must read for those who are in the business of reducing variation using data, in particular for the Six Sigma Black Belts and Master Black Belts. Don't forget to read the solutions to exercises and supplementary materials to each chapter on the enclosed CD-ROM." - A. Wong, Canada



Design Of Experiments In Production Engineering


Design Of Experiments In Production Engineering
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Author : J. Paulo Davim
language : en
Publisher: Springer
Release Date : 2015-11-06

Design Of Experiments In Production Engineering written by J. Paulo Davim and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-06 with Technology & Engineering categories.


This book covers design of experiments (DoE) applied in production engineering as a combination of manufacturing technology with applied management science. It presents recent research advances and applications of design experiments in production engineering and the chapters cover metal cutting tools, soft computing for modelling and optmization of machining, waterjet machining of high performance ceramics, among others.



Computational Methods And Production Engineering


Computational Methods And Production Engineering
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Author : J Paulo Davim
language : en
Publisher: Woodhead Publishing
Release Date : 2017-05-25

Computational Methods And Production Engineering written by J Paulo Davim and has been published by Woodhead Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-25 with Business & Economics categories.


Computational Methods and Production Engineering: Research and Development is an original book publishing refereed, high quality articles with a special emphasis on research and development in production engineering and production organization for modern industry. Innovation and the relationship between computational methods and production engineering are presented. Contents include: Finite Element method (FEM) modeling/simulation; Artificial neural networks (ANNs); Genetic algorithms; Evolutionary computation; Fuzzy logic; neuro-fuzzy systems; Particle swarm optimization (PSO); Tabu search and simulation annealing; and optimization techniques for complex systems. As computational methods currently have several applications, including modeling manufacturing processes, monitoring and control, parameters optimization and computer-aided process planning, this book is an ideal resource for practitioners. Presents cutting-edge computational methods for production engineering Explores the relationship between applied computational methods and production engineering Presents new innovations in the field Edited by a key researcher in the field



Design Of Experiments For Chemical Pharmaceutical Food And Industrial Applications


Design Of Experiments For Chemical Pharmaceutical Food And Industrial Applications
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Author : Carrillo-Cedillo, Eugenia Gabriela
language : en
Publisher: IGI Global
Release Date : 2019-12-13

Design Of Experiments For Chemical Pharmaceutical Food And Industrial Applications written by Carrillo-Cedillo, Eugenia Gabriela and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-13 with Science categories.


Statistics is a key characteristic that assists a wide variety of professions including business, government, and factual sciences. Companies need data calculation to make informed decisions that help maintain their relevance. Design of experiments (DOE) is a set of active techniques that provides a more efficient approach for industries to test their processes and form effective conclusions. Experimental design can be implemented into multiple professions, and it is a necessity to promote applicable research on this up-and-coming method. Design of Experiments for Chemical, Pharmaceutical, Food, and Industrial Applications is a pivotal reference source that seeks to increase the use of design of experiments to optimize and improve analytical methods and productive processes in order to use less resources and time. While highlighting topics such as multivariate methods, factorial experiments, and pharmaceutical research, this publication is ideally designed for industrial designers, research scientists, chemical engineers, managers, academicians, and students seeking current research on advanced and multivariate statistics.