Computational Intelligence In Manufacturing

Download Computational Intelligence In Manufacturing full books in PDF, epub, and Kindle. Read online free Computational Intelligence In Manufacturing ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Computational Intelligence in Manufacturing

Computational Intelligence in Manufacturing
Author :
Publisher : Woodhead Publishing
Total Pages : 226
Release :
ISBN-10 : 9780323918558
ISBN-13 : 0323918557
Rating : 4/5 (557 Downloads)

Book Synopsis Computational Intelligence in Manufacturing by : Kaushik Kumar

Download or read book Computational Intelligence in Manufacturing written by Kaushik Kumar and published by Woodhead Publishing. This book was released on 2022-05-28 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence in Manufacturing addresses applications of AI, machine learning and other innovative computational techniques across the manufacturing supply chain. The rapid development of smart or digital manufacturing known as Industry 4.0 has swiftly provided a large number of opportunities for product and manufacturing process improvement. Selecting the appropriate technologies and combining them successfully is a challenge this book helps readers overcome . It explains how to prepare different manufacturing cells for flexibility and enhanced productivity with better supply chain management, e.g., calibrating design machine tools for automation and agility. Computational intelligence applications for non-conventional manufacturing processes such as ECM and EDM are covered alongside recent advances in traditional processes like casting, welding and metal forming. As well as describing specific applications, this practical guide also explains the computational intelligence paradigm for enhanced supply chain management. - Includes hot topics such as augmented and virtual reality applications in manufacturing - Provides details of computational techniques, such as nature inspired algorithms for manufacturing process modeling - Gives practical technical advice on how to calibrate processes and tools to work efficiently in an industry 4.0 system


Computational Intelligence in Manufacturing Related Books

Computational Intelligence in Manufacturing
Language: en
Pages: 226
Authors: Kaushik Kumar
Categories: Computers
Type: BOOK - Published: 2022-05-28 - Publisher: Woodhead Publishing

DOWNLOAD EBOOK

Computational Intelligence in Manufacturing addresses applications of AI, machine learning and other innovative computational techniques across the manufacturin
Computational Intelligence in Design and Manufacturing
Language: en
Pages: 562
Authors: Andrew Kusiak
Categories: Technology & Engineering
Type: BOOK - Published: 2000-05-22 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Von der Produktidee über den Prototyp und die Modellsimulation bis zur Analyse: Dieser Band hilft Entwicklern und Designern beim Verständnis aller Abläufe im
Handbook of Computational Intelligence in Manufacturing and Production Management
Language: en
Pages: 516
Authors: Laha, Dipak
Categories: Computers
Type: BOOK - Published: 2007-11-30 - Publisher: IGI Global

DOWNLOAD EBOOK

During the last two decades, computer and information technologies have forced great changes in the ways businesses manage operations in meeting the desired qua
Manufacturing Intelligence for Industrial Engineering: Methods for System Self-Organization, Learning, and Adaptation
Language: en
Pages: 405
Authors: Zhou, Zude
Categories: Computers
Type: BOOK - Published: 2010-03-31 - Publisher: IGI Global

DOWNLOAD EBOOK

"This book focuses on the latest innovations in the process of manufacturing in engineering"--Provided by publisher.
Computational Intelligence In Manufacturing Handbook
Language: en
Pages: 573
Authors: Jun Wang
Categories: Technology & Engineering
Type: BOOK - Published: 2000-12-27 - Publisher: CRC Press

DOWNLOAD EBOOK

Despite the large volume of publications devoted to neural networks, fuzzy logic, and evolutionary programming, few address the applications of computational in