Decision Making in the Manufacturing Environment: Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods - Couverture rigide

Livre 12 sur 74: Springer Series in Advanced Manufacturing

Rao, Ravipudi Venkata

 
9781846288180: Decision Making in the Manufacturing Environment: Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods

Synopsis

Recent worldwide advances in manufacturing technologies led to a metamorphism in the industry. Fast-changing technologies on the product front have created a need for an equally fast response from manufacturing industries, who select manufacturing strategies, product designs, manufacturing processes, and machinery and equipment. Decision makers have the problem of assessing a range of options and selecting one based on conflicting criteria.

This book shows how graph theory and matrix approach, and fuzzy multiple attribute decision making methods can be used in manufacturing. Part I introduces the decision making situations in the manufacturing environment and presents decision making methods; Part II uses case studies to illustrate the applications of these methods in real manufacturing situations.

This book will interest designers, manufacturing engineers, practitioners, managers, institutes involved in design and manufacturing related projects, researchers, academics, and graduates in this field.

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À propos de l?auteur

Dr R. Venkata Rao is a Professor and the Head of the Department of Mechanical Engineering at the Sardar Vallabhbhai National Institute of Technology, India. Dr Rao's research interests include advanced manufacturing technology, CAD/CAM, CIMS, fuzzy multiple attribute decision making methods, and non-traditional optimization methods.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Autres éditions populaires du même titre

9781849966535: Decision Making in the Manufacturing Environment: Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods

Edition présentée

ISBN 10 :  1849966532 ISBN 13 :  9781849966535
Editeur : Springer, 2010
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