Advertisement

Statistical and Computational Techniques in Manufacturing

  • J. Paulo Davim

Table of contents

  1. Front Matter
  2. Amrita Priyadarshini, Surjya K. Pal, Arun K. Samantaray
    Pages 101-144
  3. Nikolaos Fountas, Agis Krimpenis, Nikolaos M. Vaxevanidis, J. Paulo Davim
    Pages 187-218
  4. M. P. Henriques, T. J. Grilo, R. J. Alves de Sousa, R. A. F. Valente
    Pages 219-252
  5. Luis M. Alves, Pedro Santana, Nuno Fernandes, Paulo A. F. Martins
    Pages 253-280
  6. Back Matter

About this book

Introduction

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.

Keywords

Modern manufacturing Nanomanufacturing Optimization techniques Simulation processes

Editors and affiliations

  • J. Paulo Davim
    • 1
  1. 1.Department of Mechanical EngineeringUniversity of Aveiro AveiroPortugal

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-25859-6
  • Copyright Information Springer Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-25858-9
  • Online ISBN 978-3-642-25859-6
  • Buy this book on publisher's site