Statistical And Computational Techniques In Manufacturing

Author : J. Paulo Davim
Publisher : Springer Science & Business Media
Page : 285 pages
File Size : 49,5 Mb
Release : 2012-03-06
Category : Technology & Engineering
ISBN : 9783642258596

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Statistical and Computational Techniques in Manufacturing by J. Paulo Davim Pdf

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.

Author : Nikolaos E. Karkalos,Angelos P. Markopoulos,J. Paulo Davim
Publisher : Springer
Page : 67 pages
File Size : 41,6 Mb
Release : 2018-05-21
Category : Technology & Engineering
ISBN : 9783319923932

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Computational Methods for Application in Industry 4.0 by Nikolaos E. Karkalos,Angelos P. Markopoulos,J. Paulo Davim Pdf

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.

Author : Davim, J. Paulo
Publisher : IGI Global
Page : 464 pages
File Size : 42,7 Mb
Release : 2012-02-29
Category : Technology & Engineering
ISBN : 9781466601291

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Computational Methods for Optimizing Manufacturing Technology: Models and Techniques by Davim, J. Paulo Pdf

"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.

Author : J. Paulo Davim
Publisher : Springer
Page : 196 pages
File Size : 53,9 Mb
Release : 2015-11-06
Category : Technology & Engineering
ISBN : 9783319238388

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Design of Experiments in Production Engineering by J. Paulo Davim Pdf

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.

Author : Viktor P. Astakhov
Publisher : CRC Press
Page : 457 pages
File Size : 41,6 Mb
Release : 2024-05-03
Category : Science
ISBN : 9781040012451

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High-Productivity Drilling Tools by Viktor P. Astakhov Pdf

This completely updated volume covers tool materials, tolerances, an inspection of drilling tools, requirements of tool drawings with examples, and methodologies and procedures of failure analysis. It introduces a new line of HP drilling tools called VPA designs and brings it into sharp focus signifying its importance in drilling operations. High-Productivity Drilling Tools: Materials, Metrology, and Failure Analysis further develops the concept of the metrology of the drilling tools introduced in the first edition. For the first time, the relevant metrological parameters are clearly defined with tolerance for HPHD with practical examples of step-by-step inspection/measurement using advanced tool measurement microscopes and CNC machines. A pros and cons list as a quick and easy decision-making tool for the choice of measuring equipment for a particular application is offered along with practical examples of drilling tool drawings to help tool designers, cutting tool and manufacturing engineers, and users in their everyday activities in the design and selection of HPDT for a particular application. An unparalleled presentation of metalworking fluids (MWFs, a.k.a. coolants) is given and covers all the start of the business: selection, implementation in HPDT and drilling operation, monitoring, and maintenance. A two-step procedure for successful implementation of near-dry machining (NDM) or minimum quantity lubrication (MQL) is presented, and a discussion of the wear of the drilling tool, its proper assessments, and metrics are provided in the evaluation of tool life and quality of machined holes. This practical book should be on the shelves of all industrial engineers, those working in production and manufacturing, process designers, tool material designers, cutting tool designers, and quality specialists. Researchers, senior undergraduate students, and graduate students will also find this book full of very helpful reference information and the source of new ideas and notions in drilling tool development. This book is also available as a set - Drills: High-Productivity Drilling Tools, 2-Volume Set (9781032203508).

Author : J Paulo Davim
Publisher : Woodhead Publishing
Page : 242 pages
File Size : 49,5 Mb
Release : 2017-05-25
Category : Business & Economics
ISBN : 9780857094827

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Computational Methods and Production Engineering by J Paulo Davim Pdf

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

Author : Carrillo-Cedillo, Eugenia Gabriela,Rodríguez-Avila, José Antonio,Arredondo-Soto, Karina Cecilia,Cornejo-Bravo, José Manuel
Publisher : IGI Global
Page : 429 pages
File Size : 43,9 Mb
Release : 2019-12-13
Category : Science
ISBN : 9781799815204

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Design of Experiments for Chemical, Pharmaceutical, Food, and Industrial Applications by Carrillo-Cedillo, Eugenia Gabriela,Rodríguez-Avila, José Antonio,Arredondo-Soto, Karina Cecilia,Cornejo-Bravo, José Manuel Pdf

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.

Author : Richard Barrett Clements
Publisher : Unknown
Page : 418 pages
File Size : 44,6 Mb
Release : 1991
Category : Production management
ISBN : UCSD:31822007988678

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Handbook of Statistical Methods in Manufacturing by Richard Barrett Clements Pdf

Author : Luo, ZongWei
Publisher : IGI Global
Page : 407 pages
File Size : 54,5 Mb
Release : 2014-03-31
Category : Technology & Engineering
ISBN : 9781466658370

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Smart Manufacturing Innovation and Transformation: Interconnection and Intelligence by Luo, ZongWei Pdf

Fast advances in information technology have led to a smarter world vision with ubiquitous interconnection and intelligence. Smart Manufacturing Innovation and Transformation: Interconnection and Intelligence covers both theoretical perspectives and practical approaches to smart manufacturing research and development triggered by ubiquitous interconnection and intelligence. This reference work discusses the transformation of manufacturing, the latest developments in smart manufacturing innovation, current and emerging technology opportunities, and market imperatives that enable manufacturing innovation and transformation, useful tools for readers in industry, academia, and government.

Author : Stefan H. Steiner,R. Jock MacKay
Publisher : Quality Press
Page : 717 pages
File Size : 53,9 Mb
Release : 2005-01-02
Category : Business & Economics
ISBN : 9780873891363

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Statistical Engineering by Stefan H. Steiner,R. Jock MacKay Pdf

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

Author : Luo, Zongwei
Publisher : IGI Global
Page : 338 pages
File Size : 46,8 Mb
Release : 2015-09-10
Category : Technology & Engineering
ISBN : 9781466686946

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Robotics, Automation, and Control in Industrial and Service Settings by Luo, Zongwei Pdf

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Author : Bert Keats
Publisher : CRC Press
Page : 317 pages
File Size : 52,9 Mb
Release : 2020-11-26
Category : Business & Economics
ISBN : 9781000147155

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Statistical Process Control in Automated Manufacturing by Bert Keats Pdf

This book provides an introduction to statistical process control in automated manufacturing and suggests implementation strategies. It focuses on time series applications in statistical process control and explores the role of knowledge-based systems in process control.

Author : Raman Kumar,Sita Rani,Sehijpal Singh Khangura
Publisher : CRC Press
Page : 261 pages
File Size : 50,9 Mb
Release : 2023-11-02
Category : Technology & Engineering
ISBN : 9781000986242

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Machine Learning for Sustainable Manufacturing in Industry 4.0 by Raman Kumar,Sita Rani,Sehijpal Singh Khangura Pdf

The book focuses on the recent developments in the areas of error reduction, resource optimization, and revenue growth in sustainable manufacturing using machine learning. It presents the integration of smart technologies such as machine learning in the field of Industry 4.0 for better quality products and efficient manufacturing methods. Focusses on machine learning applications in Industry 4.0 ecosystem, such as resource optimization, data analysis, and predictions. Highlights the importance of the explainable machine learning model in the manufacturing processes. Presents the integration of machine learning and big data analytics from an industry 4.0 perspective. Discusses advanced computational techniques for sustainable manufacturing. Examines environmental impacts of operations and supply chain from an industry 4.0 perspective. This book provides scientific and technological insight into sustainable manufacturing by covering a wide range of machine learning applications fault detection, cyber-attack prediction, and inventory management. It further discusses resource optimization using machine learning in industry 4.0, and explainable machine learning models for industry 4.0. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields including mechanical engineering, manufacturing engineering, production engineering, aerospace engineering, and computer engineering.

Author : Debabrata Samanta,SK Hafizul Islam,Naveen Chilamkurti,Mohammad Hammoudeh
Publisher : CRC Press
Page : 296 pages
File Size : 51,5 Mb
Release : 2022-04-05
Category : Technology & Engineering
ISBN : 9781000550429

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Data Analytics, Computational Statistics, and Operations Research for Engineers by Debabrata Samanta,SK Hafizul Islam,Naveen Chilamkurti,Mohammad Hammoudeh Pdf

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.

Author : Radek Silhavy,Petr Silhavy,Zdenka Prokopova
Publisher : Springer Nature
Page : 424 pages
File Size : 55,7 Mb
Release : 2019-09-19
Category : Technology & Engineering
ISBN : 9783030313623

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Computational Statistics and Mathematical Modeling Methods in Intelligent Systems by Radek Silhavy,Petr Silhavy,Zdenka Prokopova Pdf

This book presents real-world problems and exploratory research in computational statistics, mathematical modeling, artificial intelligence and software engineering in the context of the intelligent systems. This book constitutes the refereed proceedings of the 3rd Computational Methods in Systems and Software 2019 (CoMeSySo 2019), a groundbreaking online conference that provides an international forum for discussing the latest high-quality research results.