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Statistical and Computational Techniques in Manufacturing

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. Therefo...

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Detalles Bibliográficos
Autor principal: Davim, J
Lenguaje:eng
Publicado: Springer 2012
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-642-25859-6
http://cds.cern.ch/record/1501753
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author Davim, J
author_facet Davim, J
author_sort Davim, J
collection CERN
description 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.
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spelling cern-15017532021-04-21T23:56:14Zdoi:10.1007/978-3-642-25859-6http://cds.cern.ch/record/1501753engDavim, JStatistical and Computational Techniques in ManufacturingEngineeringIn 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.Springeroai:cds.cern.ch:15017532012
spellingShingle Engineering
Davim, J
Statistical and Computational Techniques in Manufacturing
title Statistical and Computational Techniques in Manufacturing
title_full Statistical and Computational Techniques in Manufacturing
title_fullStr Statistical and Computational Techniques in Manufacturing
title_full_unstemmed Statistical and Computational Techniques in Manufacturing
title_short Statistical and Computational Techniques in Manufacturing
title_sort statistical and computational techniques in manufacturing
topic Engineering
url https://dx.doi.org/10.1007/978-3-642-25859-6
http://cds.cern.ch/record/1501753
work_keys_str_mv AT davimj statisticalandcomputationaltechniquesinmanufacturing