Outranking and Entropy based GRA in Manufacturing Environment

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Details

The first edition of this book "A Textbook of Outranking and Entropy Based GRA in Manufacturing Environment" contains five chapters. This edition has been thoroughly presented and made on robot selection and automated inspection system selection. Some MCDM methods such as Outranking, Preference Function Based Outranking, Entropy Based Grey Relation Analysis Methods and Spearman's rank correlation coefficient have been discussed for the solutions of some problems on robot selection and automated inspection system selection to choose the best alternative.

Autorentext

Sandip Kunar is a Research Scholar in Production Engineering Department, Jadavpur University. His research interests include electrochemical micromachining and advanced manufacturing technology.Dr. Prasenjit Chatterjee is currently working as an Associate Professor of Mechanical Engineering Department at MCKV Institute of Engineering, India.


Klappentext

The first edition of this book "A Textbook of Outranking and Entropy Based GRA in Manufacturing Environment" contains five chapters. This edition has been thoroughly presented and made on robot selection and automated inspection system selection. Some MCDM methods such as Outranking, Preference Function Based Outranking, Entropy Based Grey Relation Analysis Methods and Spearman's rank correlation coefficient have been discussed for the solutions of some problems on robot selection and automated inspection system selection to choose the best alternative.

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Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783659693489
    • Sprache Englisch
    • Größe H220mm x B150mm x T4mm
    • Jahr 2015
    • EAN 9783659693489
    • Format Kartonierter Einband
    • ISBN 3659693480
    • Veröffentlichung 09.04.2015
    • Titel Outranking and Entropy based GRA in Manufacturing Environment
    • Autor Sandip Kunar
    • Untertitel Robot and Automated Inspection System selection
    • Gewicht 113g
    • Herausgeber LAP LAMBERT Academic Publishing
    • Anzahl Seiten 64
    • Genre Management

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