Computational Methods for Optimizing Manufacturing Technology: Models and Techniques

Computational Methods for Optimizing Manufacturing Technology: Models and Techniques

J. Paulo Davim (University of Aveiro, Portugal)
Release Date: February, 2012|Copyright: © 2012 |Pages: 395
DOI: 10.4018/978-1-4666-0128-4
ISBN13: 9781466601284|ISBN10: 1466601280|EISBN13: 9781466601291
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Description & Coverage
Description:

As manufacturing technology and its applications become more complex and beyond the scope of conventional approaches, there has been considerable interest in developing computational methods for optimizing manufacturing.

Computational Methods for Optimizing Manufacturing Technology: Models and Techniques 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. Including research on topics such as cellular manufacturing systems, evolutionary algorithms, mobile robots, and particle swarm optimization, this book serves as a useful reference for academics, manufacturing and computational science researchers, mechanical, industrial and manufacturing engineers, and professionals in related industries.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Artificial Neural Networks
  • Computational Techniques in Statistical Analysis and Exploitation
  • Evolutionary Algorithms
  • Finite Element Technology
  • Fuzzy Logic
  • Optimization Formulations for Sheet Metal Forming
  • Optimization of Machining Parameters
  • Particle Swarm Optimization
  • Soft Computing Methods in Cellular Manufacturing
  • Statistical Models for Predicting Disqualification Probability
Reviews & Statements

[...] this book can serve as a useful reference for academics, manufacturing and computational sciences researchers, mechanical, industrial and manufacturing engineers, and professionals in related industries with manufacturing technology.

– J. Paulo Davim, University of Aveiro, Portugal
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Editor/Author Biographies
J. Paulo Davim (https://orcid.org/0000-0002-5659-3111) received his Ph.D. degree in Mechanical Engineering in 1997, M.Sc. degree in Mechanical Engineering (materials and manufacturing processes) in 1991, Mechanical Engineering degree (5 years) in 1986, from the University of Porto (FEUP), the Aggregate title (Full Habilitation) from the University of Coimbra in 2005 and the D.Sc. from London Metropolitan University in 2013. He is Senior Chartered Engineer by the Portuguese Institution of Engineers with an MBA and Specialist title in Engineering and Industrial Management. He is also Eur Ing by FEANI-Brussels and Fellow (FIET) by IET-London. Currently, he is Professor at the Department of Mechanical Engineering of the University of Aveiro, Portugal. He has more than 30 years of teaching and research experience in Manufacturing, Materials, Mechanical and Industrial Engineering, with special emphasis in Machining & Tribology. He also has an interest in Management, Engineering Education and Higher Education for Sustainability. He has guided large numbers of postdoc, Ph.D. and master’s students, as well as has coordinated and participated in several financed research projects. He has received several scientific awards. He has worked as evaluator of projects for ERC-European Research Council and other international research agencies as well as examiner of Ph.D. thesis for many universities in different countries. He is the Editor in Chief of several international journals, Guest Editor of journals, books Editor, book Series Editor and Scientific Advisor for many international journals and conferences. Presently, he is an Editorial Board member of 30 international journals and acts as reviewer for more than 100 prestigious Web of Science journals. In addition, he has also published as editor (and co-editor) more than 120 books and as author (and co-author) more than 10 books, 80 book chapters and 400 articles in journals and conferences (more than 250 articles in journals indexed in Web of Science core collection/h-index 52+/9000+ citations, SCOPUS/h-index 57+/11000+ citations, Google Scholar/h-index 73+/17000+).
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Editorial Advisory Board
  • C. Conceição António, University of Porto, Portugal
  • Uday Shanker Dixit, Indian Institute of Technology Guwahati, India
  • V. N. Gaitonde, B.V.B. College of Engineering &Technology, India
  • Paulo A. F. Martins, Technical University of Lisbon, Portugal
  • K. Palanikumar, Sri Sairam Institute of Technology, India
  • Ramon Quiza, University of Matanzas, Cuba
  • R. Venkata Rao, S. V. National Institute of Technology, India
  • M. A. Sheikh, University of Manchester, UK